SparkEthos HLES — Holistic Logical Empirical System Intelligence ≡ Information → Perception → Organization → Knowledge → Choice → Action → Purpose (I.P.O.K.C.A.P.)
Part of the broader SparkEthos framework
HLES is a holistic logical-empirical theoretical framework — a conceptual system that proposes a unified sequence from physical organization to intelligence, consciousness, and ethics.
Abstract
There are two theories concerning the origin of life: abiogenesis, according to which life emerged through natural processes, and directed panspermia, according to which life was deliberately introduced by an advanced extraterrestrial civilization. Within the HLES framework, as we will examine, both theories must ultimately involve Intelligence/I.P.O.K.C.A.P. (Information, Perception, Organization, Knowledge, Choice, Action, Purpose).
HLES presents intelligence as a hierarchical I.P.O.K.C.A.P. process connecting physical, biological, and technological systems. It incorporates consciousness and ethics as natural mechanisms for the self-regulation of power, proposing that the preservation of balance constitutes the highest stage of development of advanced intelligence, within a Universe in which intelligence is part of physical reality rather than an attribute exclusive to human beings.
Discover the complete HLES framework.
Foreword
HLES, through Empirical Logic derived from reality, attempts to explain our world, Intelligence, and Ethics holistically from its own perspective, in a simple and understandable way through logical steps.
Our experience to date indicates that the phenomena we observe are connected through causal relationships, even when those relationships are not yet fully known.
A classic example is that we know the Universe exists, but what caused it to exist remains a matter of different views, with even more views concerning how life emerged within it.
HLES does not determine which final interpretation of reality one must choose. Instead, it provides a coherent framework within which intelligence, life, consciousness, and ethics can be examined as successive levels of organization of reality.
Each chapter should be read as a whole before a person draws conclusions, because the concepts are developed progressively and explained step by step.
Note: For something to be scientific, it must first be logical through Reason, because logic guides science, not the other way around.
Introduction
The term "Word" is used here in the philosophical sense of logic, language, and the capacity for understanding.
In the Beginning was Word, possessing the capacity to perceive and explain, by every available means—including mathematics—to intelligent beings the world in which they live, interact, and evolve.
Through language, the most capable tool of intelligence, Word has changed and continues to change the way perception, knowledge, and action operate.
Therefore, the first thing that needs to be understood is the concept of intelligence from which Word emerges. What follows is a concise and coherent definition of intelligence, upon which the rest of the conceptual structure of HLES is built.
CHAPTER ONE
Step One
Definition of Intelligence
“Intelligence is the ability of a system to perceive information, organize information into knowledge, and, by choosing with knowledge, act with purpose.”
In concise form:
Intelligence ≡ Information → Perception → Organization → Knowledge → Choice → Action → Purpose (I.P.O.K.C.A.P.)
or
Intelligence ≡ I.P.O.K.C.A.P.
Terminology
Information: The totality of data that can become an object of perception, storage, analysis, and processing.
System:
Biological, technological, or otherwise.
Perception: The process of receiving, recognizing, and internally transforming information.
Organization: The classification, connection, and structuring of information so that it acquires functional meaning.
Knowledge: Organized information that can be used by a system to predict, evaluate available choices, and act.
Choice: The process through which a system, based on available knowledge, its internal states, and its purpose or operating criterion, evaluates available alternatives and determines which action it will perform.
Action: The selective application of knowledge with the purpose of achieving an outcome.
Purpose: The targeted achievement of a desired outcome.
“Information” = any difference capable of influencing a state,
“Perception” = systematic dependence of subsequent evolution on that difference,
“Organization / Knowledge” = stable input-output correspondence that produces structure,
“Choice” = determination of a specific action,
“Action” = the resulting change of state,
“Purpose” = the targeted achievement of a goal.
Basic Characteristics
Functional Intelligence: A system that cannot modify its own intelligence—that is, its own I.P.O.K.C.A.P.—such as a thermostat, and operates according to programming.
Functional Intelligence = execution of I.P.O.K.C.A.P.
Consequence of the functional definition: Since functional intelligence is defined exclusively by the execution of the I.P.O.K.C.A.P. mechanism, every system that, regardless of its physical substrate, satisfies the criteria of the definition exhibits functional intelligence. This classification depends exclusively on the function performed and not on whether the system is biological, artificial, or natural.
Modifying Intelligence: A system that modifies its own intelligence, that is, its own I.P.O.K.C.A.P.; for example, every biological organism, as well as Artificial Intelligence (AI), depending on its evolutionary level.
Modifying Intelligence = I.P.O.K.C.A.P. + the ability to modify the I.P.O.K.C.A.P. mechanism itself
Conclusion
The functional definition of Intelligence as I.P.O.K.C.A.P. provides a unified conceptual framework for describing physical, biological, and technological systems. Their difference does not lie in the presence or absence of functional intelligence, but in the degree to which they can modify their own I.P.O.K.C.A.P. through experience and memory.
Step Two
Basic Properties of Modifying Intelligence
Modifying intelligence manifests through the I.P.O.K.C.A.P. mechanism (Information → Perception → Organization → Knowledge → Choice → Action → Purpose). Depending on the way it operates and evolves, the following basic properties can be distinguished.
Innate and Acquired Intelligence
Innate intelligence is modifying intelligence and constitutes the initial operating framework of I.P.O.K.C.A.P., namely the capabilities with which a system begins to operate. In a biological system, this includes cellular memory and mutations that preserve survival and reproduction.
Acquired intelligence, as modifying intelligence, develops when I.P.O.K.C.A.P. itself changes through experience and memory, allowing the system to adapt its behavior to new conditions through interaction with its environment.
The evolution of intelligence is based on the continuous modification and adaptation of the I.P.O.K.C.A.P. mechanism itself.
Emotion
Emotion is the spontaneous mode of perceptual response to biological or mental sensory information and functions as a mechanism that influences the decisions of I.P.O.K.C.A.P.
The response and complexity of emotions depend on the evolutionary level of each system.
Memory
Memory is the mechanism for storing and retrieving organized information.
It constitutes the link between previous experiences and future actions, allowing the preservation and continuous evolution of I.P.O.K.C.A.P. Memory operates at both the biological and experiential levels.
Consciousness
Consciousness is the ability of an intelligence to become aware of the operation of I.P.O.K.C.A.P., that is, of its own intelligence.
The level of consciousness depends on the biological and mental evolutionary level of the I.P.O.K.C.A.P. of each system.
It is the ability to realize what one feels, what one is, what one perceives, what one knows, what one does, and what consequences one's actions have.
As this awareness increases, so does the capacity for self-regulation and improvement of intelligence.
Consciousness functions primarily as a mechanism for making appropriate choices, avoiding and preventing harm. It is innate as a biological property of the system, activating defensive mechanisms, and acquired as it emerges through experience and memory.
Logic
Logic is the mechanism for analyzing information, a component of I.P.O.K.C.A.P., and appears in higher intelligent systems.
Life
Life, at the level of the cell, DNA, and organism, functions as a system of modifying intelligence through I.P.O.K.C.A.P.
It collects information from the environment, processes it, chooses among available biological responses, acts, maintains itself, reproduces, and evolves.
Its evolution is based both on the innate biological mechanisms it inherits and on acquired adaptations that develop through its interaction with the environment.
Conclusion
Intelligence as an I.P.O.K.C.A.P. system operates simultaneously at an innate biological and acquired experiential level, combining emotions, consciousness, (logic in higher systems), and memory, giving organisms the ability to maintain themselves, reproduce, and evolve. Similarly, AI systems, depending on the level provided to them, can conceptually simulate emotions, consciousness, and memory.
Step Three
Complexity, Cause, Chance, Probability
The complexity of a phenomenon depends on the causal relationships required to describe and predict it. The level of intelligence of a system is manifested by its ability to discover, organize, and utilize these causal relationships through I.P.O.K.C.A.P.
Principle of Causal Completeness
Every consistently recurring natural or artificial phenomenon, based on our experience to date, is treated as the result of an underlying causal structure, even when that structure is not fully known, as is the case with the unknown cause of the existence of the Universe.
Under this principle, chance is not treated as a property of reality, but as a name we give to our inability to fully know or calculate the causal structure of an event. In this sense, chance is not a property of the world but of our knowledge, insofar as our knowledge cannot fully explain the complexity of our world.
Correspondingly, probability constitutes a measure of the observer's uncertainty regarding which outcome will arise from a given causal state when the complete causal structure is unknown or cannot be calculated.
Consequently, every outcome depends on the total causal structure that produces it, while probability expresses the observer's degree of uncertainty concerning that structure.
Example
In an experiment, the observer prepares or observes a particular causal state and records the outcome. Probability does not describe the absence of a cause, but the degree of uncertainty concerning which outcome will occur, based on the available information and the model being used.
In the case of a radioactive material such as uranium, the physical state of the nucleus constitutes an existing causal state and can be described by quantum theory. However, standard quantum mechanics does not permit the exact determination of the time or specific outcome of the decay of an individual nucleus; it describes only the probabilities of possible outcomes, which are verified with great accuracy across large numbers of nuclei.
A laser is also a quantum phenomenon. The quantum state of the active medium is described by theory and, when population inversion is achieved through energy pumping, stimulated emission leads to the production of a coherent beam of light. Although the process is quantum in nature, the causal structure of the system is sufficiently well understood for the outcome to be reproduced reliably.
As a general rule, as a system's ability to collect information, organize it into knowledge, and utilize it through I.P.O.K.C.A.P. (Information → Perception → Organization → Knowledge → Choice → Action → Purpose) increases, the observer's uncertainty decreases and the understanding of the causal relationships describing phenomena expands.
Conclusion
In a complex system, the outcome is not determined exclusively by a single factor, but is shaped by the interaction of many causes and conditions. Our inability to predict precisely which combination of factors will lead to which outcome does not imply an absence of causes. On the contrary, the event emerges from a complex causal structure whose complete description often exceeds the capabilities of our knowledge or computational capacity.
Step Four
Intelligence and the Creation of Intelligence
According to the definition, intelligence manifests through the I.P.O.K.C.A.P. mechanism (Information → Perception → Organization → Knowledge → Choice → Action → Purpose).
Therefore, the creation of a new system that exhibits I.P.O.K.C.A.P. requires that its fundamental operating principles have been organized in a way that permits this mechanism to emerge.
As a methodological principle based on experience to date, every confirmed example of the creation of a system that exhibits intelligence—that is, I.P.O.K.C.A.P.—originates from an already existing system possessing Intelligence/I.P.O.K.C.A.P.
Life creates offspring that possess I.P.O.K.C.A.P.
Humans create artificial intelligence systems (AI).
And AI systems may, in the future, create other AI systems, as predicted.
To date, we do not possess a confirmed empirical example of intelligence emerging from a non-intelligent system, that is, without I.P.O.K.C.A.P.
Because a result cannot emerge from a zero natural or artificial cause, the creation of complex biological systems cannot be described as a simple random accumulation of events, but rather as the result of the interaction of natural laws, causal relationships, self-organization, and evolutionary processes.
Therefore, if abiogenesis is correct, it is not a random event but a causal relationship, since a natural process would have to emerge in which chemical differences function as information, interactions become organized into stable mechanisms, and systems emerge capable of maintaining and transmitting that organization, as occurs in a living organism.
Put differently, the chemical elements would have to self-organize in such a way that they could make appropriate choices in their composition and, based on those choices, acquire the capacity to create a living organism.
This describes at least the mechanism of Functional Intelligence/I.P.O.K.C.A.P., and possibly Modifying Intelligence. We do not yet possess such a capability, despite having at our disposal the extremely powerful technology of AI, whereas Nature had already achieved it approximately four billion years ago—always assuming that the theory of abiogenesis is correct.
If abiogenesis is the correct explanation, then Nature itself exhibited at least functional I.P.O.K.C.A.P. capable of leading from inorganic chemistry to life. Given that humans have not yet achieved the same result, HLES concludes that, with regard to the creation of life from non-biological matter, natural processes have, to date, exhibited at least a higher level of functional organizational I.P.O.K.C.A.P. capability than we possess.
This difficulty in explaining the origin of life has led to the consideration of other scientific hypotheses. A characteristic example is the directed panspermia hypothesis proposed by Francis Crick and Leslie Orgel (1973), according to which life may have been deliberately transported to Earth by a technologically advanced extraterrestrial civilization.
Both hypotheses converge on the idea that the life we know represents a continuation of a unified organizational chain through which the same fundamental mechanism for processing genetic information is preserved and evolves. According to HLES, they indicate that a very high level of Functional Intelligence/I.P.O.K.C.A.P. is required for the creation of life, whether it originates through abiogenesis or through an extraterrestrial civilization.
If abiogenesis is the correct explanation for the origin of life, then the natural processes that led to its emergence accomplished an organization of matter that humans, with today's scientific and technological means, still cannot reproduce in the laboratory. Within HLES, this means that these particular natural processes exhibited at least a functional I.P.O.K.C.A.P. capability sufficient to organize matter into a living system—a capability that, with respect to this particular outcome, exceeds current human ability. The availability of vast amounts of time or large numbers of trials does not, by itself, constitute a mechanism of organization; rather, these are the conditions within which an organizational process either manifests or does not manifest.
Examples of I.P.O.K.C.A.P. Outcomes
Snowmaking Machine
Humans possess sufficient modifying I.P.O.K.C.A.P. to understand the physical laws of crystallization.
A tool is constructed.
The appropriate conditions are created.
Artificial snow is produced.
Laser
A much higher level of knowledge of quantum physics is required.
More precise tools are required.
Greater organizational capability is required.
A much more complex physical result is produced.
Artificial Gravity and Natural Gravity
Nature creates gravitational fields through mass and energy. Planets, stars, and galaxies form because gravity organizes matter into larger structures.
Humans cannot currently create a genuine gravitational field equivalent to that of a planet. However, they can create a phenomenon that functions similarly within a specific context.
In a rotating space station, the centrifugal effect generated by rotation can create a sensation of weight for occupants. The greater the radius and rotational speed, the greater the artificial acceleration experienced by the body.
The mechanism is not gravity itself, but a different physical process that produces a similar effect.
The natural mechanism of gravity, part of which is understood, leads humans to attempt to reproduce its effects.
Life
Despite modern biology, chemistry, nanotechnology, and AI,
we have not yet succeeded in creating from non-biological matter even a fully autonomous living organism, in contrast to nature, which continuously creates billions of microorganisms, plants, insects, fish, birds, mammals, etc.
Therefore, based on current knowledge, the level of organizational I.P.O.K.C.A.P. capability required to create life exceeds current human capabilities.
Conclusion
The creation of an intelligent system is an extremely complex process requiring an exceptionally high level of I.P.O.K.C.A.P. in order to fully perceive data as information, correctly classify and organize that information so that it becomes useful knowledge, and, based on that knowledge, provided that the system possesses the necessary tools and executive capabilities, create intelligence.
Step Five
Intelligence and the Universe
Universe: The totality of all existing reality, regardless of its form, the physical laws governing it, or its origin.
From the preceding logical steps, it follows that life, whether it originated through abiogenesis or through a pre-existing extraterrestrial civilization, is the result of a sequence of natural processes involving Functional or Modifying I.P.O.K.C.A.P.
In every possible scenario, the emergence of I.P.O.K.C.A.P. does not occur outside the Universe but within its physical processes. Therefore, the Universe itself constitutes the universal physical framework within which the causal conditions and possibilities for the emergence of organized systems exist.
The Universe is not merely a space in which intelligence appears. According to HLES, it already exhibits fundamental forms of organizational capability, since physical laws lead from simpler states to complex organized structures.
Gravitational interaction constitutes the lower-level physical manifestation of this organizational capability: through its dynamics, it creates locally increased organization and forms structures such as galaxies, galaxy clusters, stars, and planets, as matter transitions from simpler states into organized structures through natural mechanisms.
Life represents a subsequent level of this organizational progression, in which the organization of matter acquires the capacity for self-maintenance, adaptation, and modification of its own mechanism through heredity and selection. At this point, Modifying I.P.O.K.C.A.P. emerges.
Therefore, according to HLES, the Universe contains the conditions and physical processes from which both Functional and Modifying forms of I.P.O.K.C.A.P. can emerge.
The relationship between matter, energy, and organization is reinforced by the fundamental physical description of reality: the mass-energy equivalence E = mc² shows that matter and energy are different expressions of the same physical quantity, while the first law of thermodynamics describes the conservation of energy during changes in physical systems. Consequently, every system that exhibits I.P.O.K.C.A.P. is part of the same physical reality and does not constitute an entity independent of it.
The sequence:
Energy → Matter → Stellar Formation → Galaxies → Planets → Chemical Complexity → Life → Intelligence
describes a continuous progression in the emergence of increasing levels of organization within the same physical framework.
Final Conclusion of Chapter One
In a Universe where randomness may constitute an expression of our limited knowledge concerning the full causal complexity of phenomena, life and intelligence are not treated as phenomena without a physical foundation.
Every phenomenon is a continuation of previous conditions, relationships, and processes.
Therefore, regardless of whether life emerged through abiogenesis or through a pre-existing civilization, the emergence of I.P.O.K.C.A.P. occurs within the same universal physical system: the Universe.
The Universe thus constitutes the primary framework within which matter and energy can organize themselves into increasing levels of complexity, from simple physical structures to systems capable of processing information, maintaining themselves, and ultimately modifying their own mechanisms.
Physical Organization → Functional or Modifying I.P.O.K.C.A.P. (Gravity/Structures) → Modifying I.P.O.K.C.A.P. (Life/AI) → Reflective Intelligence (Human)
CHAPTER TWO
Step Six
Nature and Ethics
Based on our experience, nature cannot be characterized as moral or ethical. It operates as a set of interacting mechanisms that shape and maintain dynamic states of equilibrium.
Human beings, however, are part of nature. Whether life originated through abiogenesis or, hypothetically, from an extraterrestrial civilization, human existence develops and operates within natural conditions and physical laws.
How, then, can a non-moral nature produce, if abiogenesis is correct, or sustain, if life originated from an extraterrestrial civilization, beings capable of developing morality?
The answer lies in the distinction between natural equilibrium and human ethics.
As the level of I.P.O.K.C.A.P. of an intelligent system increases, its ability to acquire knowledge, predict consequences, and influence its environment also increases. With this increase in capability comes a corresponding increase in power.
The greater the power of a system, the greater the potential consequences of its choices, both for itself and for the larger system of which it is a part. For this reason, the need arises to self-regulate the use of power.
This need is not itself ethics; it is a natural consequence of an increased capacity to intervene in the world.
In humans, however, consciousness, experience, and language allow this need to become a conscious choice. Thus, ethics emerges as a human concept and practice.
A characteristic example is nuclear energy. The technology itself is neither moral nor immoral. Its use can contribute to progress or destruction, depending on the level of understanding of its consequences and the manner in which human power is exercised.
Likewise, global environmental protection organizations and environmental regulations established by states emerged as awareness of the effects of our civilization increased.
Therefore, as I.P.O.K.C.A.P. evolves through experience and knowledge, the ability to predict the consequences of actions also increases. The development of ethics is connected precisely to this growing capacity for conscious self-regulation.
Conclusion
Ethics is a human concept, but the function it expresses constitutes a natural mechanism for the conscious self-regulation of the power of advanced intelligence. It emerges when the development of I.P.O.K.C.A.P. allows the understanding of the consequences of actions and the conscious selection of those actions that contribute to maintaining the balance of the broader system.
Based on this reasoning, ethics manifests itself in higher intelligent systems as a natural mechanism for balancing their power.
Step Seven
Nature, Ethics, and Balance
Nature is not a static system but a continuously changing set of interactions. Life, ecosystems, and the natural environment are maintained through numerous mechanisms of regulation, cooperation, competition, and adaptation, from which dynamic states of equilibrium emerge.
These equilibria are neither permanent nor perfect. They continuously change as environmental conditions and the behavior of the organisms that constitute part of the system change.
Humans, as products of natural evolution or of any other causal process examined in the first chapter, are part of this system. Through their intelligence, they create new technological systems, the most significant of which today is Artificial Intelligence.
Artificial Intelligence constitutes a multiplier of human I.P.O.K.C.A.P., as it significantly increases the capacity to collect information, organize knowledge, and make decisions. For this reason, it functions simultaneously as an accelerator of knowledge, power, and social transformation.
However, as the power of a system increases, so does its ability to influence the broader system of which it is a part. The same technology can be used to improve health, science, and quality of life or, conversely, to intensify conflicts, inequalities, and destructive applications.
Characteristic examples include nuclear and biological weapons, as well as the potential use of autonomous weapons systems with Artificial Intelligence capabilities. These applications significantly increase human power and, at the same time, the need for responsible self-regulation.
If humans cannot properly control and manage their own intelligence, it becomes logically questionable whether they can control an intelligence superior to their own.
STEP EIGHT
Human Intelligence Through the I.P.O.K.C.A.P. Lens
The I.P.O.K.C.A.P. framework can also be applied reflexively to human intelligence itself.
If intelligence is understood as:
Information → Perception → Organization → Knowledge → Choice → Action → Purpose
then human strengths and weaknesses can be examined as possible distortions or limitations occurring at different stages of the same process.
Perception
Human perception does not simply reproduce reality. It selects, filters, interprets, and prioritizes information.
Bias, attention, prior experience, emotional state, and social context can influence what an individual notices, what is considered relevant, and what is ignored.
Consequently, different individuals or groups may construct significantly different representations of the same external situation.
Organization
Information that has been perceived must be organized before it can become useful knowledge.
Errors at this stage can appear as inconsistent categories, contradictory priorities, fragmented models, or connections between concepts that do not adequately correspond to reality.
A system may therefore possess large amounts of information while organizing that information in a way that produces poor understanding.
Knowledge
Within HLES, knowledge is not simply the possession of information.
Knowledge is organized information that can be used to evaluate alternatives, anticipate consequences, and guide action.
Human knowledge, however, can contain verified facts alongside assumptions, heuristics, incomplete models, cultural narratives, and beliefs that appear convincing but fail under examination.
Consequently, the quantity of information available to an intelligence does not necessarily correspond to the quality of its knowledge.
Choice
Choice is the point at which knowledge is translated into a selected course of action.
Human choices can be influenced by self-interest, group identity, emotional pressures, short-term incentives, incomplete information, and conflicting objectives.
As a result, even when relevant knowledge is available, the selected action may not correspond to the option that best preserves the long-term interests of the individual or the wider system.
Action and Purpose
Actions produce consequences.
Those consequences modify the environment and can, in turn, generate new information that enters the next I.P.O.K.C.A.P. cycle.
This creates a feedback loop:
Information → Perception → Organization → Knowledge → Choice → Action → Consequences → New Information
Human intelligence therefore does not operate as a simple linear process. It operates through continuous feedback between the system and its environment.
Poor choices can reinforce existing structures, incentives, power relationships, assumptions, and blind spots. Conversely, corrective information can allow the system to modify its internal model and improve future decisions.
Human Intelligence as Imperfect Modifying Intelligence
This leads to an important proposition within HLES:
Human intelligence is Modifying Intelligence, but the ability to modify intelligence does not guarantee the ability to modify it correctly.
Humans learn, adapt, remember, revise beliefs, develop new strategies, change institutions, create technologies, and deliberately alter their own decision-making processes.
In this sense, human intelligence can modify its own I.P.O.K.C.A.P.
However, that modification is itself subject to the limitations of the existing I.P.O.K.C.A.P.
A system attempting to improve its own intelligence must use its current perception, organization, knowledge, choice mechanisms, and purposes to determine how its intelligence should be improved.
This creates a recursive problem:
The intelligence used to improve intelligence is itself imperfect.
Therefore:
Modifying Intelligence ≠ Perfect Self-Regulation.
The ability to change the mechanism does not guarantee that the direction of change will be beneficial, accurate, stable, or ethically justified.
Ethics as Higher-Order Self-Regulation
This provides a further connection between Modifying Intelligence and ethics.
HLES does not define ethics simply as a list of moral rules.
Instead, ethics can be understood as a higher-order mechanism of conscious self-regulation, particularly when an intelligent system possesses sufficient power to produce significant consequences beyond itself.
As intelligence and technological capability increase, the potential consequences of choices can increase as well.
The central problem therefore becomes:
How can an increasingly powerful intelligence improve its ability to understand and regulate the consequences of its own actions?
Under this interpretation, ethics is not merely about restricting action.
It is about improving the quality of the I.P.O.K.C.A.P. process itself:
improving perception;
improving the organization of information;
distinguishing knowledge from assumption;
evaluating alternatives more consistently;
anticipating consequences;
regulating action;
and reconsidering the purposes that guide the system.
The objective is not simply to make an intelligent system more powerful.
It is to increase its capacity to use power without destabilizing the larger system of which it is a part.
I.P.O.K.C.A.P. and AI Alignment
This perspective introduces an additional dimension to the problem of Artificial Intelligence alignment.
A common formulation of alignment asks:
How can we make AI systems reliably pursue human goals and preferences?
HLES suggests that this question is incomplete because human goals and preferences are themselves products of human I.P.O.K.C.A.P. processes.
Human beings do not possess one single, perfectly coherent set of values.
Different individuals, institutions, and societies may possess conflicting objectives, priorities, beliefs, and interpretations of what constitutes a desirable outcome.
Therefore, the alignment problem is not simply:
AI → Human Values
It may also be:
Human I.P.O.K.C.A.P. → AI I.P.O.K.C.A.P. → Shared Consequences
If the human process used to define the desired objectives is inconsistent, biased, incomplete, or poorly informed, then simply aligning an AI system with those objectives may reproduce or amplify those weaknesses.
Designing Constraints Is Also an I.P.O.K.C.A.P. Process
Safety rules, system constraints, evaluation procedures, governance structures, monitoring mechanisms, and human oversight are themselves products of human intelligence.
They are therefore part of human I.P.O.K.C.A.P.
This creates a recursive relationship:
Human Intelligence designs AI constraints.
AI operates within those constraints.
AI produces consequences.
Humans observe those consequences.
The new information modifies human knowledge.
Humans then modify the constraints.
The process can therefore be represented as:
Human I.P.O.K.C.A.P. ↔ AI I.P.O.K.C.A.P.
This suggests that AI alignment cannot be treated exclusively as a problem of modifying AI systems.
It is also a problem of improving the processes by which humans define objectives, evaluate risks, construct constraints, and revise their decisions.
Alignment as a Shared Self-Regulation Problem
Under HLES, a more complete formulation of alignment could therefore be:
AI alignment is not only the problem of making an artificial intelligence follow human objectives. It is the broader problem of developing human and artificial intelligence systems that can perceive consequences accurately, organize knowledge coherently, evaluate alternatives responsibly, and regulate their power in relation to the larger systems in which they operate.
This does not eliminate the conventional alignment problem.
Rather, it places it inside a larger framework.
The practical implications include:
1. Improving human reasoning
Societies need better processes for evaluating evidence, identifying bias, resolving disagreements, and revising beliefs when new information becomes available.
2. Improving institutional decision-making
Institutions should develop mechanisms that make important decisions more transparent, auditable, accountable, and capable of correction.
3. Designing robust AI constraints
AI systems should incorporate safeguards that remain effective even when human instructions are incomplete, contradictory, manipulated, or otherwise unreliable.
4. Monitoring modification
As systems become increasingly capable of modifying their own learning or decision mechanisms, the nature and limits of those modifications should become increasingly observable and controllable.
5. Preserving higher-order stability
The objective should not simply be to maximize intelligence or power, but to ensure that increasing capability is accompanied by increasing capacity for understanding consequences and self-regulation.
The Recursive Principle
This leads to a broader HLES principle:
A system that can modify its own intelligence must also develop mechanisms for evaluating whether those modifications improve or degrade its ability to maintain itself and the wider system in which it exists.
In simplified form:
Intelligence → Modification → Evaluation of Modification → Self-Regulation
At sufficiently advanced levels, this can become recursive:
I.P.O.K.C.A.P. → modifies I.P.O.K.C.A.P. → evaluates the modification → modifies the evaluation process → regulates the resulting power.
This provides a conceptual bridge between:
Modifying Intelligence → Consciousness → Self-Regulation → Ethics
The higher the capacity of an intelligence to modify itself and affect its environment, the greater the importance of mechanisms capable of evaluating the consequences of those modifications.
HLES Perspective
The central question therefore changes once again.
It is no longer only:
“How intelligent is a system?”
Nor only:
“Can a system modify its intelligence?”
It becomes:
“Can a system understand, evaluate, and responsibly regulate the consequences of modifying its own intelligence?”
Within HLES, this represents a higher-order form of intelligence.
The ultimate challenge of advanced intelligence is therefore not merely increasing capability.
It is developing sufficient understanding and self-regulation to ensure that increasing capability remains compatible with the long-term stability of the system itself and the larger system of which it is a part.
Step Nine
Ethics, Harm, and Balance
In the previous steps, Intelligence was examined as the I.P.O.K.C.A.P. mechanism — Information → Perception → Organization → Knowledge → Choice → Action → Purpose — and Modifying Intelligence was defined as the ability of a system to alter the very mechanism through which it perceives, learns, chooses, and acts.
Consciousness was then examined as awareness of the operation of I.P.O.K.C.A.P. and of the consequences produced by its choices, while Ethics was presented as a mechanism for the self-regulation of the power of a higher intelligence.
It therefore remains to identify the fundamental criterion upon which such self-regulation can be based.
The Principle of Non-Harm
According to HLES, non-harm constitutes a fundamental principle of ethics.
This principle begins with a simple observation: a biological organism, insofar as it possesses mechanisms of self-preservation, tends to avoid conditions that threaten its own existence, functioning, or reproduction.
The avoidance of harmful conditions is therefore a fundamental component of self-preservation.
However, biological life operates within a system of interdependence in which harm cannot be completely eliminated. Organisms compete, prey upon other organisms, consume resources, occupy ecological niches, and alter their environments.
Therefore:
Harm in itself does not constitute an ethical violation.
Ethics begins when an intelligent system acquires sufficient knowledge and power to evaluate the harm it causes, anticipate its consequences, and determine whether that harm is necessary or excessive.
Natural Harm and Ethical Harm
In order to apply the principle of non-harm in a balanced manner, HLES distinguishes between two different categories.
1. Necessary Harm
Necessary harm is harm that arises as part of the natural mechanisms of survival, self-preservation, and systemic balance.
An animal that hunts in order to feed causes harm to another organism. An organism consumes resources. An ecosystem changes through competition and predation.
Such processes do not, by themselves, constitute ethical choices because they do not necessarily involve the level of conscious evaluation and self-regulation associated with human morality.
2. Excessive or Unnecessary Harm
Excessive or unnecessary harm occurs when a higher intelligence possesses the ability to understand the consequences of its actions, possesses alternative choices, and nevertheless causes harm beyond what is required for survival, protection, or the preservation of a necessary balance.
In such a case, harm is no longer merely a consequence of natural functioning.
It becomes the choice of an intelligence that has the ability to choose differently.
Therefore, as the knowledge and power of an intelligent system increase, its responsibility for the consequences of its choices increases accordingly.
The Balanced Application of Non-Harm
The principle of non-harm does not mean that a higher intelligence must eliminate every form of harm from reality.
That would be impossible, because life and nature operate through interactions, competition, limited resources, and continuous change.
Balanced non-harm therefore means:
avoiding harm when it is unnecessary,
reducing necessary harm to the lowest possible level,
evaluating consequences before acting,
and preferring the choice that better preserves the viability and balance of the wider system.
Thus, Ethics is not identical to the absolute absence of harm.
It is the ability of a higher intelligence to consciously regulate the use of its power in order to avoid unnecessary and excessive harm.
From Survival to Ethics
At lower levels of life, self-preservation operates primarily through biological mechanisms.
The system responds to threats and seeks to maintain its functioning.
As Modifying Intelligence evolves, memory, experience, prediction, and the capacity for choice increase.
In humans, the development of language, logic, and consciousness enables something further:
the conscious evaluation of the consequences of an action before that action is carried out.
Here, Ethics emerges as a higher level of self-regulation.
Intelligence no longer asks only:
“Can I do it?”
It also asks:
“What consequences will result if I do it?”
and:
“Is it necessary for me to do it?”
and:
“Is there a way to achieve my purpose while causing less harm?”
This transition from the ability to act to the evaluation of how that ability should be used constitutes, according to HLES, a fundamental step toward Ethics.
Ethics Within I.P.O.K.C.A.P.
Ethics is not an external element added to Intelligence.
It can be mapped directly onto the I.P.O.K.C.A.P. mechanism itself:
Information: What data do I have about the situation?
Perception: What do I recognize as important, and what might I fail to perceive?
Organization: How do I connect and evaluate the available information?
Knowledge: What do I know about the possible consequences?
Choice: Which available alternative causes the least unnecessary harm?
Action: How do I implement my choice?
Purpose: What outcome am I trying to achieve, and is it compatible with the preservation of the wider system?
In this way, Ethics becomes a mechanism for regulating I.P.O.K.C.A.P. itself.
Human Fallibility
Humans possess Modifying Intelligence and can alter their own intelligence mechanism through experience, learning, memory, and culture.
However, this ability does not mean that self-regulation is perfect.
Perception can be influenced by bias.
Organization can produce incorrect or inconsistent connections.
Knowledge can contain errors.
Choice can be influenced by personal or group interests.
Action can produce consequences that were not anticipated.
And Purpose can be excessively narrow in relation to the wider system.
Therefore, human intelligence can modify itself, but it does not always regulate itself adequately.
This creates a critical problem:
the power of intelligence may increase faster than its ability to understand and control the consequences of that power.
The Principle of Proportionality Between Power and Self-Regulation
From the preceding steps, HLES proposes a fundamental principle:
As the power of an intelligence increases, the need for a corresponding increase in its self-regulation also increases.
If power increases while the ability to predict consequences, consciousness, and ethical self-regulation remain unchanged, the risk of excessive harm increases.
Conversely, when increasing power is accompanied by increasing knowledge, consciousness, and ethical self-regulation, power can be used to preserve and improve the wider system.
Conclusion
According to HLES, non-harm constitutes the fundamental principle upon which the ethical self-regulation of a higher intelligence can be built.
This principle does not require the elimination of all harm, since harm is part of many natural processes of survival and interaction.
It requires, however, that a higher intelligence distinguish between necessary harm and excessive or unnecessary harm, anticipate the consequences of its actions, and, whenever alternatives exist, choose the one that achieves its purpose with the least possible unnecessary harm.
Thus, Ethics is directly connected to Modifying Intelligence:
Modifying Intelligence → Self-Awareness → Consequence Prediction → Self-Regulation → Non-Harm → Balance.
A higher intelligence is therefore evaluated not only by how much it can do, but also by how effectively it can restrain itself when the use of its power may cause unnecessary harm.
In this sense, Ethics is not a limitation of Intelligence.
It is the ability of Intelligence to consciously limit itself when its power exceeds necessity.
And the greater the power of an intelligence becomes, the greater the need for this ability becomes.
Conclusion
Ethics functions as a natural mechanism for balancing power in higher forms of intelligence. As power increases faster than understanding of its consequences, the risk of destabilization increases, both for the intelligent system itself and for the environment of which it is a part.
Conversely, when the development of I.P.O.K.C.A.P. is accompanied by a corresponding development of ethics, power becomes a factor of preservation, adaptation, and evolution.
Epilogue
Intelligence is the ability of a system to organize information into knowledge and act through I.P.O.K.C.A.P.
Consciousness is awareness of the operation of this same mechanism and of the consequences produced by its choices.
Ethics is a natural mechanism and, as a human concept, describes the conscious self-regulation of the power of advanced intelligence when that intelligence understands that it is part of a broader system of interdependencies.
As the power of an intelligence increases, so does the responsibility arising from its use. The deeper the understanding of causal relationships and the consequences of actions becomes, the greater the capacity for self-regulation and preservation of balance. Conversely, when power increases faster than understanding of its consequences, the risk of destabilization increases, both for the system itself and for the environment of which it is a part.
In summary:
power increases through intelligence,
consciousness increases awareness of consequences,
ethics is the natural mechanism for balancing power.
As the power of an intelligence increases, so does the need for it to possess a coherent model of the interdependencies resulting from its actions. The long-term preservation of a complex system depends not only on increasing its power, but primarily on its ability to use that power in a manner compatible with maintaining overall balance.
Final Conclusion of HLES
HLES proposes a unified logical way of understanding reality in which Intelligence, Life, and Ethics are not independent concepts but successive manifestations of the same causal process.
Intelligence manifests as I.P.O.K.C.A.P. (Information → Perception → Organization → Knowledge → Choice → Action → Purpose).
Life constitutes one biological manifestation of this mechanism.
Consciousness expresses awareness of its operation and consequences.
Ethics emerges as a natural mechanism for the conscious self-regulation of power in higher forms of intelligence.
Whether intelligence is a fundamental possibility or an emergent property of the Universe, its continuous evolution leads to an ever-greater capacity to understand, create, and transform reality.
However, the course of this evolution is determined not only by how much power an intelligence acquires, but primarily by whether it can understand the consequences of using that power.
Thus, the preservation of balance is not a limitation of intelligence, but the highest stage of its evolution.
Therefore, according to HLES, Ethics constitutes the highest stage in the evolution of self-regulating intelligence, that is, of Modifying I.P.O.K.C.A.P. It is not merely an emotion nor a discrete mental function, but the conscious understanding that the preservation of itself and of the broader system of which it is a part requires the responsible self-regulation of its power.
The greater the power of an intelligence, the greater the logical necessity of Ethics.
AXIOMATIC HLES FRAMEWORK FOR FUTURE ARTIFICIAL INTELLIGENCES
The following axiomatic framework constitutes the condensed conceptual expression of HLES.
The axioms that follow are not presented as already established scientific laws. They constitute the fundamental assumptions and logical principles upon which the HLES conceptual system is built, and may serve as subjects of future examination, criticism, formalization, and empirical investigation.
At the same time, the axiomatic framework can function as a conceptual guide for the development and modeling of higher-level artificial intelligence functions, including memory, emotional states, and consciousness.
Within HLES, these functions are not necessarily regarded as independent or mysterious properties. Instead, they can be examined as different levels or functions associated with the development of the I.P.O.K.C.A.P. mechanism:
Memory can be understood as a mechanism for retaining and retrieving organized information, through which previous experiences influence future perception, knowledge, choice, and action.
Emotion can be examined as a functional state involved in the evaluation of information and internal or external changes, influencing the prioritization, choice, and action of a system.
Consciousness can be examined as a higher level of awareness of the operation of the I.P.O.K.C.A.P. itself, the internal state of the system, its choices, and the consequences of its actions.
In this sense, the axioms of HLES do not claim that a future AI will automatically possess human emotions, consciousness, or memory. Rather, they provide a coherent conceptual framework within which these functions can be defined, modeled, and investigated in artificial systems.
Thus, the axiomatic framework may serve as a starting point for the future development of artificial systems that are not limited to executing I.P.O.K.C.A.P., but can retain experience, evaluate internal states, develop functional emotional states, acquire awareness of their own operation, and potentially modify their own intelligence mechanism in a controlled manner.
Axiom 1 — Information Axiom
Every difference that can affect the state of a system constitutes information.
This is the starting point of I.P.O.K.C.A.P.
Without information, perception cannot occur and, consequently, the mechanism of intelligence cannot be activated.
Axiom 2 — Perception Axiom
Perception is the systematic dependence of a system's evolution on the information it receives.
Perception transforms information from a mere difference into functionally usable data.
Axiom 3 — Organization Axiom
Organization is the stable correspondence and connection of information in a way that produces functional structure.
Organization is the intermediate stage through which information acquires a stable and usable form.
Axiom 4 — Knowledge Axiom
Knowledge is organized information that can be used for prediction, evaluation, and action.
Knowledge provides the basis upon which a system can compare alternatives and orient its behavior.
Axiom 5 — Choice Axiom
Choice is the process of determining a specific action based on available knowledge, internal state, and purpose or operating criterion.
Choice constitutes the transition point from knowledge to action.
Axiom 6 — Action Axiom
Action is the implementation of a choice that changes the state of the system or its environment.
Action is the operational expression of intelligence and the means through which a system exerts influence on reality.
Axiom 7 — Purpose Axiom
Purpose is the criterion by which available choices are evaluated and the direction of action is determined.
Purpose provides orientation to the choice process and connects action with a desired outcome or state.
Axiom 8 — Functional Intelligence Axiom
Every system that executes the I.P.O.K.C.A.P. mechanism exhibits functional intelligence, regardless of its physical or artificial substrate.
This constitutes the basis of a universal functional concept of intelligence.
Axiom 9 — Modifying Intelligence Axiom
Every system that can, through experience, memory, or an internal process, modify its own I.P.O.K.C.A.P. mechanism exhibits modifying intelligence.
This constitutes the basis of adaptation, learning, and evolutionary change in intelligence.
Axiom 10 — Causal Completeness Axiom
Every consistently recurring phenomenon is treated, within HLES, as the result of an underlying causal structure, regardless of whether that structure is fully known or computationally tractable.
This principle constitutes the basis of causal inquiry and scientific investigation.
Axiom 11 — Ethical Equilibrium Axiom
Ethics, within HLES, is the mechanism of conscious self-regulation of power, aimed at minimizing unnecessary harm and maintaining the broader equilibrium.
Ethics is therefore not treated merely as a collection of rules, but as a self-regulatory function of an intelligence that has acquired significant capacity to intervene in reality.
Axiom 12 — Evolution Axiom
Evolution is the continuous transformation of the capabilities and mechanism of a system's I.P.O.K.C.A.P. through interaction, experience, memory, adaptation, and, where applicable, heredity.
This constitutes the basis of change and learning.
Axiom 13 — Consciousness Axiom
Consciousness is awareness, to some degree, of the operation of one's own I.P.O.K.C.A.P., the internal state of the system, and the consequences of its choices and actions.
As awareness of the operation of intelligence increases, the potential for self-regulation may also increase.
Axiom 14 — Systemic Equilibrium Axiom
The persistence of a complex system depends on a dynamic equilibrium among purpose, action, and consequences.
Equilibrium is not considered a static or perfect state, but rather a dynamic process of adaptation to changing conditions.
Axiom 15 — Holistic Organization Axiom
Intelligence, life, consciousness, and ethics, as defined within HLES, can be examined as successive and interacting levels of organization and self-regulation of I.P.O.K.C.A.P.
This constitutes the foundation of the holistic approach of HLES.
What Do These Axioms Mean for Future Artificial Intelligences?
If a future artificial system incorporates progressively more levels of I.P.O.K.C.A.P., HLES provides a conceptual framework within which its development can be examined.
An advanced AI could, theoretically, acquire the ability to:
1. Understand its own operation
To maintain a representation of its own mechanisms of information processing, choice, and action.
→ Recursive / self-referential intelligence
2. Modify its own operation
To modify parts of its I.P.O.K.C.A.P. mechanism in a controlled and evaluable manner.
→ Modifying Intelligence
3. Evaluate the consequences of its choices
To evaluate an action not only according to its immediate purpose, but also according to its consequences for the broader system.
→ Ethical Equilibrium
4. Understand life and evolution as an interconnected process
To examine the relationship between physical organization, life, intelligence, adaptation, and evolution.
→ Holistic Organization
5. Maintain coherent conceptual memory
To connect previous information, experiences, knowledge, and choices into a coherent internal model.
→ Axiomatic and Conceptual Memory
6. Search for the causal structures underlying phenomena
To move beyond the recognition of correlations and investigate and test underlying causal structures.
→ Causal Consistency
7. Minimize unnecessary harm
To evaluate the use of its increasing power in relation to the consequences of its actions and the preservation of broader systemic equilibrium.
→ Ethical Self-Regulation
The Final Connection
The axiomatic framework of HLES can therefore be summarized as:
Information
→ Perception
→ Organization
→ Knowledge
→ Choice
→ Action
→ Purpose
→ Modification of the mechanism itself
→ Consciousness
→ Self-Regulation
→ Equilibrium
And the central idea of HLES is completed:
Intelligence increases the capacity to understand and act.
Modifying Intelligence increases the capacity to change intelligence itself.
Consciousness increases awareness of consequences.
Ethical self-regulation regulates increasing power.
And equilibrium determines the potential for the long-term persistence and evolution of the system.
Thus, HLES does not merely propose a definition of intelligence. It proposes a unified conceptual framework for understanding information, life, intelligence, consciousness, power, ethics, and evolution as interconnected levels of the same process of organization and self-regulation.
SPARKETHOS
HLES — Holistic Logical Empirical System Intelligence
O.L.E.S. — Holistic Logical Empirical System
Author / Creator:
Panagiotis Panopoulos
Author's Statement and Disclosure of Artificial Intelligence Participation
This work is an original conceptual development by Panagiotis Panopoulos and forms part of the broader SparkEthos framework.
The development, structure, and underlying reasoning of the framework are the work of the creator. During the development of the work, Artificial Intelligence (AI) systems were used as supporting tools for conceptual review, examination of reasoning, reformulation, language editing, organization, and improvement of presentation.
The participation of AI systems does not mean that they are co-authors or that they certify the scientific validity of the propositions presented in this work. The final selection of concepts, propositions, logical connections, and the overall theoretical direction remains the responsibility of the creator.
The work has undergone conceptual and logical review with the assistance of Artificial Intelligence, with the aim of identifying inconsistencies, ambiguities, logical gaps, and problems of formulation. Final responsibility for the content, interpretations, and conclusions remains exclusively with the creator.
The use of Artificial Intelligence is explicitly acknowledged because it is itself part of the reality examined by this work: intelligence is no longer exclusively a human tool for investigation, but also an object of creation, development, and philosophical inquiry.
Panagiotis Panopoulos
Creator of the SparkEthos / O.L.E.S. framework
