Peter Belohlavek


Complex problem solving requires dealing with superior ethical intelligence

The discovery of ethical intelligence unveiled the drivers of human behavior and widened the possibilities of individuals to manage their own future. Ethical intelligence defines how people generate added value, influence the environment, manage time, build strategies and focus on reality.

Ethical IntelligenceThis discovery is the major and deepest discovery in the field of human intelligence made by Peter Belohlavek.

Ethical intelligence provides the structural logic to survive, earn value, add value, acquire and manage knowledge and deal with the nature of reality. It is the “mother” of all the intelligences. It defines the true intentions of individuals that are observable in the consequences of their actions.

The higher the level of ethics an individual wants to achieve, the higher the prices s/he has to pay, not only to achieve such level but also to maintain it.

The notorious aspect is that although being the less conscious intelligence, its evolution empowers the possibilities of the functional intelligences of individuals.

Business Functionality of Ethical Intelligence

The discovery of ethical intelligence opened new possibilities to influence individuals’ evolution. Ethical intelligence in business defines the value adding possibilities, the influence on the environment, time management, strategic planning and focusing.

The apparent paradox is that it is the deepest intelligence of the human mind, but at the same time it is the intelligence that evolves with the maturity of individuals and can be influenced.

It has to be considered that in the business world different activities require different ethical approaches in order to be successful. For example:

Pyramid of Ethical IntelligencesA business is consistent when the individuals dealing with it have the ethics required by the activity.

When the ethics is inferior to what is needed, it necessarily inhibits growth installing a “business growth virus” in the organization.

If the ethics used by individuals is superior to what is needed, they install a “business profit virus” in the organization that increases costs and affects profitability.

Ethics is implicit in everyday actions, including language. Therefore, it can be defined, measured and fostered.

The rational knowledge of ethical intelligence has an enormous benefit for individuals in organizations in order to ensure consistency for growth and profitability.

Unicist Press Committee

NOTE: The Unicist Research Institute was the pioneer in using the unicist logical approach in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. It has an academic arm and a business arm.
https://www.unicist-school.org/theoryofevolution/wp-content/uploads/2016/03/turi.pdf

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The Unicist Ontology of Complex Systems

The Unicist Ontology of Complex Systems was researched and developed by Peter Belohlavek at The Unicist Research Institute based on the experiences and applications in medicine, human behavior, social behavior, businesses and future research. The apprehension of complex systems requires a significant abstraction and integration effort in order to be able to emulate these systems in mind.

Complex SystemsThis unicist ontology provides an answer that ends the open discussion of what complex systems are. It allowed defining the functionality of complex systems and how to influence such systems and build them.

A Complex system is an entity that works as a composite unicist object, integrated by a conjunction of objects, that has open boundaries with the environment.

All complex systems are organized by objects, which allow managing complexity. This is self-evident in a human body where each organ is an interdependent object to sustain the life of the human being. Another example in social life can help to clarify this characteristic of the complex systems: the roles people assume work as objects in society.

At an operational level, the core characteristics of a complex system are:

  1. All the elements of the complex system are integrated by conjunctions without the possibility of the existence of disjunctions.
  2. The openness of the boundaries of the objects that integrate the complex system and the openness of the system as an object itself.

A unicist object is defined as an adaptive system that has a concept to fulfill, has a value adding function and a quality assurance process to sustain the purpose of the system. The concept is defined by having a purpose, an active function to put the purpose in action and an energy conservation function to sustain the achievement of the purpose.

The complexity of a system is intrinsic, which means that it does not depend on the perception of an individual. But in order to apprehend a complex system it is necessary that the person emulates the system in mind, which fully depends on the individual.

This requires that the individual needs to be able to go beyond a dualistic thinking process in order to be able to apprehend the conjunctions implicit in the system and needs to have the concept of the environment in order to be able to deal with the open boundaries of the system.

There are fields that are generally accepted as being complex such as: Life-sciences, social sciences, anthropology, political sciences, economic sciences, behavioral sciences, medicine, psychology, education, businesses, ecology, meteorology.

The Ontological Algorithm of a Complex System

The driver of a complex system is the concept that regulates its unified field to generate results. This driver is what generates the emergence (results) of the complex system.

Ontological Algorithm of a Complex SystemThe system needs to add value in order to influence the environment to sustain the openness of its boundaries. The fulfillment of the purpose of the concept is sustained by a quality assurance process that needs to manage the influence of the environment.

The maximal strategy is based on managing the conjunction of the objects that integrate the complex system. It requires identifying the objects that integrate the system and how they are integrated.

The integration of the objects is given by their conjunction including them following the rules of the double dialectical logic. This logic defines that each object is integrated with another object assuming a complementary or supplementary role and their integration builds an object of superior order of complexity.

Since these interdependent objects that have biunivocal relationships are integrated, it is necessary to apprehend them as a unified field using the unicist logic, which emulates the ontogenetic intelligence of nature.

The functionality of the biunivocal influence works as the catalyst of the functionality of the complex system.

The minimum strategy that sustains the functionality of the complex system is built upon the management of the open boundaries based on the adaptive behavior of its elements. Such adaptive behavior implies that adaptiveness is sustained by the influence that is exerted by the system while the influence that is exerted by the environment on the system is managed.

The influence exerted on the environment is based on the complementation of the complex system with the environment. This complementation requires covering two different aspects:

  • An asymmetric complementation with negative slope in order to have an influential role.
  • A symmetric complementation to establish a participative relationship with the environment.

The influence exerted by the environment is based on a competitive relationship, which implies the existence of supplementary roles between the system and the environment. This requires paying the prices of sustaining the objective of the system within the boundaries established by the influence of the environment.

Adaptiveness is the final goal of the minimum strategy and requires managing the biunivocal influence between the system and the environment.

Levels of Complexity Management

Unicist Ontology of Complex SystemsThe complexity of a system is defined intrinsically by the characteristics of the system. The more objects that integrate a complex system, the higher the level of complexity of such system.

Five levels of complex systems have been defined:

  • Level of Complexity 0 – Over-adaptive Complex System
  • Level of Complexity 1 – Influential Complex System
  • Level of Complexity 2 – Reactive Complex System
  • Level of Complexity 3 – Proactive Complex System
  • Level of Complexity 4 – Adaptive Complex System

Level of Complexity 0 – Over-adaptive Complex Systems

These are entities that have adjacent roles to the environment which makes them work as “hygienic” entities.

They have no internal complexity because they follow the environment which implies that they establish an asymmetric complementation with positive slope. Over-adaptive systems are not complex.

Level of Complexity 1 – Influential Complex Systems

These are the complex systems that participate in isolated niches of the environment having the capacity of influencing the environment by providing elements that are perceived as necessary by the environment.

They are integrated by few interdependent objects and the open boundaries deal with a restricted isolated environment. Their level of complexity is given by the need to build complementary roles.

Level of Complexity 2 – Reactive Complex Systems

This level includes the complexity implicit in the previous level. These are complex systems that are organized to manage the influence of the environment without over-adapting.

These system are extremely efficient in their peripheral structure, which allows them to respond to the influence of the environment without losing their purpose and functionality. Their level of complexity if given by the need to manage the influence exerted by the environment.

Level of Complexity 3 – Proactive Complex Systems

This level includes the complexity implicit in the previous level. These are complex systems that exert an active influence on the environment in order to expand.

They are expansive entities that have developed a superior capacity to manage processes in a competitive environment that is basically defined by the biunivocal relationships they need to manage. Their level of complexity is given by the need to manage biunivocal relationships with the environment.

Level of Complexity 4 – Adaptive Complex Systems

This level includes the complexity implicit in the previous level. These are complex systems that adapt to the environment that are driven by their capacity of building bridges between apparently incompatible needs.

They manage the capacity to build complementation at a superior level when the lower level fails. They are innovative entities that manage the conflicts with the environment by generating additional added value. Their level of complexity is given by the need to manage the future of the environment, the possibilities of the system and its complementation in changing environments.

Conclusion

All complex systems are organized by objects, which allow managing complexity. This is self-evident in a human body where each organ is an interdependent object to sustain the life of the human being.

Another example in social life can help to clarify this characteristic of the complex systems: the roles people assume work as objects in society.

This has several consequences:

  1. A complex system is, by definition, constituted by interdependent objects.
  2. When researching a complex system what needs to be researched are the objects of the system.
  3. When a human built complex system has no established objects, it is transformed into an over-adaptive system.
  4. To apprehend complex systems individuals need to be able to emulate their architecture in mind, which requires being able to deal with open boundaries and conjunctions while leaving aside the disjunctions implicit in value judgments.

Unicist Executive Committee

NOTE: The Unicist Research Institute was the pioneer in using the unicist logical approach in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. It has an academic arm and a business arm. https://www.unicist-school.org/theoryofevolution/wp-content/uploads/2015/07/turi.pdf

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Discovery that complementation and supplementation rule nature

The research on adaptive systems drove to the conclusion that nature has only two types of relationships: complementation and supplementation. The use of a unicist double dialectical thinking approach is necessary to apprehend them.

The elements that are part of an entity in nature are integrated by supplementary and complementary relationships. There exist no other types of relationships in nature.

These relationships can be perfect or imperfect. When they are perfect the entity evolves in a stable way, when they are imperfect they generate a high level of entropy.

The purpose, the conservation function and the active function of a concept are integrated by logical rules which sustain their unity.

While the purpose and the active function are sustained by the supplementation law, the purpose and the conservation function are integrated by the complementation law.

Access a synthesis on “The Homology between Unicist Concepts and Stem Cells, Atoms, Biology, the TAO and Electricity” that is available at the Scientific Dissemination Program:
https://www.unicist-school.org/theoryofevolution/wp-content/uploads/2015/05/homology_atoms_biology.pdf

Unicist Press Committee

NOTE: The Unicist Research Institute was the pioneer in using the unicist logical approach in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. It has an academic arm and a business arm.
https://www.unicist-school.org/theoryofevolution/wp-content/uploads/2015/05/turi.pdf

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The Unicist Theory solved the approach to complexity

Unicist Theory, its Applications and Scientific EvidencesThe Unicist Theory made adaptive systems manageable and gave an epistemological structure to complexity sciences. As it is known, the management of complexity has been an unsolved challenge for sciences. This challenge has been faced in 1976 by Peter Belohlavek at The Unicist Research Institute, which became a pioneering organization in the development of concrete solutions to manage the complex adaptive systems by developing a logical approach that uses the Unicist Theory.

A double dialectical logical approach to manage complex problems has been discovered. This approach is based on the discovery that complex systems have a triadic structure that emulates the ontogenetic intelligence of nature, represented by a purpose, an active principle and an energy conservation principle and their integration. The Unicist Theory that solved the approach to complexity includes the Ontogenetic Intelligence of Nature, the Unicist Ontology, the Unicist Logic, the Unicist Conceptualization, the Unicist Ontology of Evolution, the Ontogenetic Maps and the Unicist Objects.

There are fields that are generally accepted as being complex such as: life sciences, social sciences, anthropology, political sciences, economic sciences, behavioral sciences, medicine, psychology, education, businesses, ecology and meteorology.

The complexity of a system is intrinsic, which means that it does not depend on the perception of an individual. But in order to apprehend a complex system it is necessary that the person emulates the system in mind, which fully depends on the individual. This required defining what a complex system is.

Science dealt with complexity using multiple palliatives but without achieving consensus of what complex systems are. The main problem to manage complexity is that all the elements of the complex system are integrated by bi-univocal conjunctions without the possibility of the existence of disjunctions, that the boundaries of the objects that integrate the complex system are open and that the system is open in itself. The only measurable facts are the results that such system produces.

The most difficult task was the completion of the scientific evidences to confirm the functionality of the solutions, which demanded thousands of applications until they could be synthesized. The scientific evidences of the Unicist Theory were: the functionality of amino acids, the structure of atoms, the structure of biological entities, the nervous system, the similarity between natural and social objects, the fact that unicist concepts behave as stem cells and that thinking processes are homologous to the functionality of electricity.

The Unicist Theory was used to develop applications in Life Sciences, Future Research, Business, Education, Healthcare and Social and Human behavior. Now complex adaptive systems became manageable and complexity science received its epistemological structure. Palliatives to deal with complexity will continue to be used until people accept that complexity needs to be approached in its nature.

Learn more: http://www.unicist.org/repo/#Basics

Executive Committee

NOTE: The Unicist Research Institute was the pioneer in using the unicist logical approach in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. It has an academic arm and a business arm.
https://www.unicist-school.org/theoryofevolution/wp-content/uploads/2014/11/turi.pdf

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Evolution is Purpose Driven: The Discovery of the Ontogenetic Intelligence of Nature

Darwins finchesThis research began in 1976 with the hypothesis that in nature there are mutations that are random but others that are driven by a purpose.

If this hypothesis was confirmed and there were a purpose, Peter Belohlavek concluded that there would have to be an intelligence that defined such purpose.

For this reason, Belohlavek researched on the essential structure implicit in nature’s intelligence to be able to predict and exert influence on the evolution of complex adaptive systems when possible.

Charles Darwin demonstrated the adaptation process of species that, having the same structural constitution, developed adaptive changes to live in a certain environment.

The hypothesis of Belohlavek’s research was that these changes were driven by an intelligence that underlies nature.

The Unified field of the Ontogenetic Intelligence of NatureHe concluded that each living creature’s evolution is ruled by its ontogenetic intelligence, that defines it as unique both in its species and individuality and that the essential structure of this intelligence is integrated by a purpose, an active principle (entropic function) and an energy conservation principle.

The research was focused on the unified field of living beings.

The basic assumption that sustains this development is that the evolution of living beings, their behaviors, actions and deeds are driven by the same logical structural framework.

This implies that there is an intelligence that defines the structural behavior of any entity that integrates this framework that allows predicting the behavior of all the entities where this intelligence is known.

You can find the complete document on the “Discovery of the Ontogenetic Intelligence of Nature” at: http://www.unicist.org/repo/#Basics

Unicist Press Committee

NOTE: The Unicist Research Institute was the pioneer in using the unicist logical approach in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. It has an academic arm and a business arm.
http://www.unicist.org/repo/#Unicist

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Unicist Research: Closing the gap between macro and micro behavior

The Unicist Research closed the gap between macro and micro behaviour. The unicist complexity research approach implies dealing with applications while researching, which requires that the lapse of research time be very long in order to achieve fully accurate predicted results before validating a hypothesis.

discoveries-unicist-2013-2014As it has been done every year since its foundation, The Unicist Research Institute synthesized this January the researches that had been finished until that time. After 38 years, 2013/2014, can be considered the year in which the integration of macro and micro behavior could be confirmed.

The gap between the macro and the micro cosmos has been and is still a problem that theoretical physicists are closing. The integration of the field of macro and micro behavior, that has been solved by Peter Belohlavek, is homologous. It allows integrating social behavior with individual behavior, making human complex adaptive systems manageable.

The publication of Conceptual Economics, Conceptual Anthropology and Conceptual Psychology are some of the milestones of this process that included the researches developed in 2013-2014 (see image above).

You can access Conceptual Economics and Conceptual Anthropology at:
http://www.unicist.org/repo/#Economy

If you want to access the “Drivers of Human Behavior” that explain the structure of human intelligence, please access: www.unicist.org/repo/#Psychology

Unicist Press Committee

NOTE: The Unicist Research Institute was the pioneer in using the unicist logical approach in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. It has an academic arm and a business arm. http://www.unicist.org/repo/#Unicist

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What are Complexity Sciences?

The objective of the Unicist Approach to Complexity Sciences developed by Peter Belohlavek was to find a scientific approach to understand nature and provide a structure to emulate it when designing, building or managing complex adaptive systems.

Unicist Approach to Complexity SciencesBelohlavek developed the epistemological structure for complexity sciences, by developing the unicist ontological methodology for complex systems research, which substituted the systemic approach to research adaptive systems and was materialized in the unicist logical approach to deal with adaptiveness.

This is an excerpt comparing the different approaches that intended to deal with Complexity Sciences. It needs to be stated that the unicist approach developed the first integrated structure to manage complex adaptive systems.

Until the existence of this approach the methods of systemic sciences were used as a palliative to deal with complex adaptive behaviors.

The structure of the unicist approach to complexity sciences implies the integration of a unicist ontological approach, which defines the structure of the nature of a specific reality with the use of unicist objects that allow emulating the organization of nature to predict the behavior of complex adaptive systems, design them, built them or manage them.

Access to a synthetic comparison of the Unicist Approach with the different approaches based on their nature and functionality:

  1. Complex Adaptive Systems
  2. Ontologies
  3. Objects

Comparison of the Approaches to Complexity Sciences

Aspect

Peter Belohlavek’s approach
to Complexity Sciences
(*)

Preexisting approaches: Bateson, Förster, Lorenz, Maturana, Morin, Prigogine
and others

Field of Study Complex adaptive systems Complex adaptive systems
Approach Pragmatic – Structural – Functionalist Empirical
Definition of the field of study A specific reality as a unified field that includes the restricted and wide contexts and the emergence of the system Based on the emergence of the system
Possibility of external observation Inexistent Inexistent
Research method Unicist Ontological Research Systemic research
Boundaries of the system Open Open
Self organization Concepts – analogous to strange attractors Strange Attractors / undefined
Structure Double Dialectics Dynamics
Purpose – active function – energy conservation function
Variables
Relationship between the elements Following complementation and supplementation laws Undefined
Evolution / Involution Based on the evolution/involution laws of the ontogenetic intelligence of nature Undefined
Processes Object driven processes Undefined
Certainty Dealing with possibilities and probabilities Dealing with probabilities
Demonstration Real applications Real applications
Emulation in mind Double dialectical thinking
(using ontointelligence)
Complex thought
Emergence Results Results
Chaos Inexistent Existent
Influence on the system Based on actions and driving, inhibiting, entropy inhibiting, catalyzing and gravitational objects. Based on actions
Validation Destructive and non-destructive tests (real applications) Systemic research validation methods

 

Comparison of Ontologies with the Unicist Ontology

Comparison of:

Ontology (Philosophy)
Aristotle, Wolff,
Kant and others

Ontology (Information Science)
Gruber, Sowa, Arvidsson and others

Unicist Ontology (Complexity Sciences)
Peter Belohlavek (*)

Purpose Knowledge acquisition Information and knowledge acquisition Managing complex adaptive systems and adaptive processes
Foundations Discovery Shared expert opinions Ontogenetic Intelligence of Nature and discovery of functionalities
Use in business To apprehend reality Artificial Intelligence  and building of complex information systems Manage human adaptive systems and adaptive processes
Scope of application Universal Artificial Intelligence, Information Systems Development of ontogenetic maps for the individual, institutional, business and social fields.
Language used Natural Web Ontology Language and others Unicist Standard Language and natural language
Results to be achieved True knowledge Valid knowledge and information Value generation
Evolution / Involution laws Inexistent Inexistent Unicist laws of evolution
Validation model Inexistent Inexistent Unicist logic
Taxonomic structure Inexistent Based on shared validation Defined by the Unicist Algorithms
Mathematic validation Inexistent Inexistent Following the Unicist logic
Deals with Ideas Categories and objects Algorithms and business objects
Oneness One ontology for each aspect of reality Depending on the consensus of the expert opinions One ontology for each functionality

Comparison of the different types of objects

Objects Oriented Programming

Main concepts of objects in IT programming

Complex Adaptive
Systems

Main concepts of
unicist objects

Adaptive Systems
in Nature

Main concepts of objects in nature (e.g. a tree)

Class Restricted Context Species
Object Business Object Entity
Inheritance Homologous Inheritance Inheritance
Method Method Functionality
Event Action Action
Message Information System Nervous System
Attributes Fundamentals Morphology
Abstraction Ontogenetic Map Genotype
Encapsulation Unified Field Phenotype
Polymorphism Polymorphism Polymorphism
Synchronicity Synchronicity
Critical Mass Critical Mass

Complexity Science Research

The unicist theory expanded the frontiers of sciences making the scientific approach to complex adaptive systems possible without needing to use arbitrary palliatives to transform complex systems into systemic systems in order to be able to research them.

Complexity Science ResearchParadoxically, this is a breakthrough and a back to basics. On the one hand, it is a breakthrough because it changed the paradigms of scientific research. On the other hand, it is a back to basics because it drives sciences to deal with the nature of reality.

The unicist logical approach opened the possibilities of managing complexity sciences using a pragmatic, structured and functionalist approach.

The unicist approach to complexity is based on the research of the unicist ontological structure of a complex adaptive system which regulates its evolution. This is based on emulating the structure of the unicist ontogenetic intelligence of nature considering that every functional aspect of reality has a unique unicist ontological structure.

The approach to ontological structures of reality requires going beyond the dualistic thinking approach and being able to use the double dialectical logic to approach complex adaptive systems.

The research in complexity science needs to have its own format for its presentation that has a structural difference with the papers for systemic sciences (abstract, introduction, materials and methods, discussion, literature).

Synthesis

The unicist approach to complexity sciences is a pragmatic, structural and functionalist approach.

This approach establishes the framework for the research on complexity sciences but also for the unicist logical approach that uses the conclusion of the researches in their application in the field of complex adaptive systems.

The Unicist Research Institute

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems.
https://www.unicist-school.org/theoryofevolution/wp-content/uploads/2013/11/turi.pdf

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The Unicist Approach to Corruption and its Antidotes

This is a synthesis of a research, led by Peter Belohlavek, which began in July 1975 and ended in February 2013 when it was proven that the avoidance of corruption depends on individual behavior and not on the conditions of the environment.

Corruption allows individuals to profit from the environment through illegitimate actions while they disintegrate the system they are part of. It is based on a “parasitarian” complementation that uses value judgments to justify the degradation of the environment they do in order to profit from it.

Corruption is an individual and social addiction that is installed in environments where the participants do not have the necessary critical mass to influence the environment.

Corrupt environments need that their dominant ethics is intentions driven, their justice does not cover the needs of equal opportunities and that the private and public actions of individuals are not transparent.

Corruption may occur in any human action field. It can be included in the emotional, economic, social and political aspects of human behavior. The most known aspects deal with economic and power corruption.

The final purpose is to profit from the environment. To obtain this benefit corrupts adopt four types of actions: sabotage, blackmailing, bribing and defrauding. As it is an addiction, corrupts build a parallel reality in which corruption is a natural and accepted behavior.

Psychopathic manipulation and psychopathic leadership are the natural “tools” corrupts use to develop their actions when they deal with non-corrupt participants of an environment.

Corruption is illegal or socially sanctioned in non-corrupt environments. In corrupt environments corruption is a fallacious myth that covers the shared weaknesses of the members. Those who do not accept it are automatically excluded from the groups.

The antidote for corruption, at an individual level, is the critical mass individuals or their actions have to influence the environment.

Social corruption antidotes require the existence of transparency, functional and not intentional ethics and the existence of equality of opportunities for the members.

But the conclusion of the research was that the responsibility for corruption avoidance is a personal decision.

Unicist Press Committee

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a private global decentralized world-class research organization in the field of human adaptive systems.
http://www.unicist.org

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The Unicist Theory of Evolution and its applications

The Unicist Theory of Evolution of Peter Belohlavek was a theory developed to deal with the adaptive aspects of reality. Its purpose was not to find the origin of species. It was the finding of the laws of evolution in order to predict human adaptive systems to influence them.

The Unicist Theory of Evolution widely exceeded the original purposes established and can be now considered as the theory that allows dealing with the evolution of living beings if it is possible to apprehend their structure.

This established a new starting point which widened the possibilities of the research in life-sciences and the behavior of individuals, institutions and cultures.

The first stage of the discovery of the Unicist Theory of Evolution happened in 1985 and since then there were new aspects discovered based on the application of this theory in multiple fields that begin with life-sciences and end with social sciences.

Considering that in the field of complex adaptive systems there is no possibility to develop artificial experiences but making real applications to research, this theory was validated through real applications that began in 1985.

Access the presentation at:
https://www.unicist-school.org/theoryofevolution/wp-content/uploads/2012/11/unicist-theory-evolution.pdf

Unicist Press Committee

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a global decentralized world-class research organization in the field of human adaptive systems.
http://www.unicist.org

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The Unicist Ontology is analogous to the structure of atoms

All the essential structures of nature are homologous. Therefore the unicist ontology is, obviously, essentially analogous to the structure of atoms.

The ontogenetic intelligence of nature defines that every living being has a purpose, an active principle and an energy conservation principle.

The purpose can also be defined as the substantive function, the active principle as the verbal function and the energy conservation principle as the adverbial function.

In physics atoms are defined by having a central nucleus, composed by positively charged protons and neutral neutrons, surrounded by negatively charged electrons.

The positively charged protons are homologous to the substantive function, the neutral neutrons are homologous to the adverbial function and the negatively charged electrons are homologous to the verbal function. An atom, having an equal number of protons and electrons, is electrically neutral.

Living beings are continuously evolving and involving which implies that there is always disequilibrium between their purposes and their active functions which is homologous to the disequilibrium of protons and electrons.

This disequilibrium is what defines the energy and the influence of an ontogenetic structure in the environment.

The active function and the purpose are antithetic and supplementary implying that both are charged with energy.

The energy conservation function and the purpose have a complementary relationship which is evident in atoms where the neutrons allow the integration of the protons.

The mass of an element is basically given by the nucleus of an ontological structure meaning that the mass is given by the purpose and its complementary energy conservation function. But the evolution of a living being is given by the power of the active function in the environment.

Unicist Press Committee

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a global decentralized world-class research organization in the field of human adaptive systems.
http://www.unicist.org

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