The Unicist Ontology of Biological Entities

The unicist ontology of a “biological entity” defines its structure and functionality in an environment.

The understanding of the ontology of “biological entities” helps to follow the laws of nature when dealing with genetic engineering processes and use it to apprehend the nature of beings with “artificial life” such as institutions.

The genotype defines the genetic structure of the entity that rules its evolution and generates the phenotype of the being.

The objective of the genotype is to ensure the permanence of species, it reproduction and production.

The phenotype defines the morphologic, behavioral and materialistic characteristics of the entity. It defines the functional characteristics, the functional power of the entity and the functional assurance.

Functionality defines the effectiveness of the phenotype measured as the consequence of the adaptation of the biological entity to the environment. Functionality is measured in the capacity of adapting and growing, on the one hand, and surviving, on the other hand.

To apprehend the dynamic of a biological entity it is necessary to manage the unicist double dialectical logic. Dualistic approaches only allow making static observations of a biological entity and/or making disruptive interventions on its evolution.

Peter Belohlavek

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. http://www.unicist.org

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Evolution: The power of a Nation is in its Archetype

The Power of a Nation provides a gravitational force for its external relations in the public and private fields that defines the level of synergy of the culture and establishes the standard for social, economic and political behaviors in terms of their capacity to influence the environment.

The Power of NationsWe are entering in one of the most obscure aspects of social behavior that deals with the power that cultures have and transfer to their members.

Essentially, the power of a Nation is synthesized in its archetype which has a level of energy that allows the Nation to follow a common goal with a natural path to achieve it.

The first obscure aspect is to accept that different countries have a different level of energy to influence the environment to transform nature for the benefit of their members.

Defining these differences is implicitly the explanation of the different levels of development of countries and explains also why the solution towards a higher level of power to influence the environment has to come from the inside and not from the outside.

This work is the result of more than 30 years of researching and forecasting the evolution of countries until the fundamentals that define the power of Nations were refined and proven that they have no exceptions.

At an operational level statistics is an adequate tool for most of the social researches. At an essential level, when dealing with the world of possibilities, the conclusions are 0 (zero) or 1 (one). No probabilities are admissible.

The power of a Nation is in its Archetype

The archetype of a Nation defines its power. But archetypes evolve, and this evolution occurs driven by the elite of a country. Elites have two roles in a country. On the one hand, they are the representatives of the archetype of the culture and, on the other hand, they are the ones that foster its evolution.

You can access the application of Country Archetypes in the “Conceptual Economy: a macro-micro approach” at: http://www.unicist.org/repo/#Economy

Peter Belohlavek

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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Homology between Unicist Concepts and Stem Cells

The function of stem cells in the human body is homologous to the function of concepts in the field of human actions. While stem cells can give rise to specialized cells and thus organs, essential concepts allow building unicist objects.

Essential ConceptUnicist objects are adaptive systems that have a concept and generate added value within a quality assurance system to fulfill the purpose of the concept. Unicist objects are interdependent entities that integrate a complex adaptive system.

The knowledge of the essential concepts is basic to build unicist objects because these objects are the materialization of a concept.

Under certain conditions, organs can be transplanted and this is also the case of unicist objects that can be replicated as long as they belong to homologous and analogous entities.

Objects are inserted into processes to produce specific results. The same way stem cells have the potential capacity to give birth to human organs, concepts can give birth to objects to produce results.

The knowledge of the Unicist Theory allows using a double dialectical approach to reality to emulate the organization of nature using an object driven organization.

Nature is organized by objects which can be observed in the ecosystem. The human body is an example of the organization of nature, where organs are homologous to unicist objects. That is why the transplantation of organs became possible.

While the structure of the different organs of the body derives from the stem cells, the unicist objects derive from the essential function of an entity that is defined by its concept.

Properties of Stem Cells and Concepts

Stem Cells

Concepts

They are unspecialized They are universal
They are capable of self-renewal They are timeless
They can give rise to specialized cells They allow building operational functions

Thus, stem cells and concepts are homologous. While essential concepts allow the construction of objects to insert into human adaptive processes, stem cells allow the building of organs that work as unicist objects to sustain the functionality of a complex adaptive system such as the human body.

Peter Belohlavek

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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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.
http://www.unicist.org/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

The 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

Unicist Ontology of Complex SystemsLevel 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. http://www.unicist.org/turi.pdf

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Discovery of the Evolution and Involution of Human Intelligence

The research on the possibilities of influencing the evolution of individual intelligence was based on the already demonstrated fact that the ethical intelligence evolves based on the maturity of individuals.

Evolution of IntelligenceThe intelligence used by the stagnant survivor ethics, survival ethics, value earning ethics, value adding ethics and foundation ethics that were discovered, defined different functionalities in the adaptation process. While, just born babies are driven by the ethics of survival, wise people, in their field of wisdom, are driven by conceptual ethics.

Ethical intelligence defines the true intentions of individuals and drives the long-term results of their actions.

While ethical intelligence defines the purpose, the true intentions of an individual, it influences the use of the strategic intelligence – that deals with actions and conflict solving – and of the logical intelligence – that deal with conceptualization, defining the concepts that guide the individual’s actions.

The question posed by this research was: how can the evolution of intelligence be stimulated? This question drove to develop multiple applications since 2003 that confirmed that the strategies individuals use when developing actions are the drivers of the evolution of intelligence.

The following table shows the equivalence of the different levels of intelligence.

(*) Ethical
Intelligence

(*) Logical
Thinking
(*) Strategic
Intelligence
Influence /
Adaptiveness

Stagnant Survivor
Ethics

Analogies /
Preconcepts

Subjective
Strategy

+/-

Survivor
Ethics

Idea of the
Concept

Operational
Strategy

++

Value Earning
Ethics

Operational
Concept

Non-influential
Strategy

+++

Value Adding
Ethics

Functional
Concepts

Specific
Strategy

++++

Foundations
Ethics
Essential
Concepts
Universal
Strategy

+++++

(*) See paper on “The roots of human intelligence”:
http://www.unicist.org/repo/#Psychology

The evolution of intelligence has two functionalities in itself:

  1. On the one hand, it upgrades the level of ethical intelligence. The use of a superior strategic intelligence, based on the development of repetitive actions of a comparative superior level that the ones the individual used to perform, fosters the development of a superior level of ethical intelligence.
  2. On the other hand, it the development of intelligence fosters an expansive attitude in everyday actions that drives individuals towards evolutive actions that increase their level of adaptiveness and influence.

Conclusion

The research demonstrated that the evolution of the strategic approach of individuals drives the evolution of their intelligence and can be considered the core of adults’ evolution.

The more influential the strategies are, the higher the level of ethical intelligence that is required. The systematic exercise of performing influential strategies expands the functionality of ethical intelligence.

It is important to clarify that the intelligence of an individual does not evolve based on strategic planning, it evolves driven by the planned actions an individual does. The success and the failure of these actions drive the evolution of intelligence when the individual does the necessary amendments in case of failure.

The stagnation of the level of use of strategic intelligence generates the degradation of ethical intelligence because the individual loses, step by step, her/his adaptation capacity, which drives necessarily towards a survivor ethics in order to avoid being excluded from the environment.

While the evolutionary process requires increasing the level of consciousness of actions, the involution process is fully unconscious, because “involution” is a personal and social taboo that cannot be accepted.

Intelligence evolves based on actions in the real world. The brain requires having a real need in order to expand the functionality of the neural system that guides human actions.

That is why the reading of books empowers the intelligence necessary to improve the reading capacity and not the doing capacity.

Intelligence CatalystsOne of the objectives of the research was to find personal methods that catalyze the expansion of an individual’s intelligence. What was discovered is that catalysts for the development of intelligence only work when the individual has a real need to generate value to influence an environment, s/he has an institutionalized attitude which means a role driven attitude, that implies that this search to add value is not subjective-driven and has the necessary reliable knowledge to generate such value.

In conceptual terms, this can be defined as being complementation building driven, assuming an adaptive leading role and being able to acquire the necessary knowledge to build such complementation.

Complementation Building (Unicist “Q” Method), Institutionalization (adaptive leadership) and Reliable knowledge Building (Unicist 5 Why Method) work as catalysts in the development of intelligence.

In this context, The Unicist Research Institute has decided to give free access to these technologies to the community through the Unicist Goodwill Network to foster equal opportunities for young people.

You can access the Unicist “Q” Method at:
http://www.goodwillnetwork.net/deb-uqm.php

The Unicist “5 Why” Method is available at:
http://www.goodwillnetwork.net/deb-5why.php

The approach to “Adaptive Leadership” can be found at:
http://www.goodwillnetwork.net/deb-leadership.php

Introducing these catalysts requires having the necessary will and discipline to make this process work. It requires installing “evolution” in one’s lifestyle. The comfort zone needs to be displaced towards the satisfaction of generating value.

A Generic Solution to Expand Intelligence

The action-reflection-action process proposed by the unicist logical approach to complex environments is a way to deal with such environments but also a way to expand the intelligence of those who use this approach. This approach implies the use of the before mentioned methods (Unicist Q Method, 5 Why Method and Adaptive Leadership approach).

The final conclusion, in plain language, is that if someone wants to empower her/his intelligence, s/he should not imagine or study. Only actions will drive the evolution of intelligence; and the action-reflection-action process is the most powerful method to influence an environment while developing one’s intelligence. Ethical intelligence does not evolve based on moral thinking but on developing value adding actions.

Peter Belohlavek

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/turi.pdf

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