Unicist Logical Approach


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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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.

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.
https://www.unicist-school.org/theoryofevolution/wp-content/uploads/2015/09/turi.pdf

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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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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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Dualism vs. Double Dialectical Logic to deal with reality

The dualism of neural functionality makes dualistic logical approaches become the natural way to deal with reality. This dualism is functional in operational environments, ruled by cause-effect relationships where the actors dominate the consequences of their actions.

Knowledge of Adaptive SystemsCommon sense is the consequence of having found recipes using dualistic logic. Common sense rules are pre-concepts that work as recipes for the one who uses them.

At an abstract level, truth tables are also the consequence of the use of dualism. In the field of dualistic approaches things are true or false, good or bad, etc.

The disjunction “OR” is the basic rule when dealing with dualistic approaches in operational environments. This makes people feel powerful because they establish the “OR” they need.

But when dealing with adaptive aspects of reality there is no possibility to define actions using a dualistic approach because the triadic structure of reality cannot be apprehended with a binary model.

The triadic structure of reality, its concept, is defined by a purpose, an active function and an energy conservation function.

To apprehend this triadic structure with a binary mind it is necessary to be able to build a double dialectical approach in mind that emulates a specific reality.

This approach was named unicist double dialectical logic because it allows defining the unified field of adaptive systems in order to diagnose and influence them. It is based on the fact that in complex systems all the elements are integrated by the conjunction “AND”.

The Unicist double dialectical approach leaves behind the truth tables (True “OR” False) and replaces them with functional tables evaluating the functionality based on predefined purposes.

The unicist reflection process: action-reflection-action is the technology to be used to transform dualistic logical approaches into unicist double dialectical approaches in order to define the concepts of complex adaptive systems.

This technology allows starting with the use of disjunctions “OR” and ending with the use of conjunctions “AND”.

This process requires that those who have decided to deal with complex problems need to be fully focused on producing results, have sound knowledge of the problem and have decided to influence it in an adapted way.

The paradox is that at the end the diagnoses and solutions found need to be transformed into operational “recipes” in order to make them manageable by ordinary people.

But it has to be considered that without being able to manage the triadic structure of the concept of complex adaptive systems, the diagnoses and solutions developed are either palliatives or fallacies that cannot produce meaningful results.

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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Unicist Learning Technology: Static vs. Dynamic Equilibrium

The unicist object driven learning process is based on the empowerment of the adaptive capacity of individuals. There are two different attitudes towards the environment:

  1. Dealing with reality based on a static equilibrium
  2. Dealing with reality based on a dynamic equilibrium

1) Static Equilibrium

The use of dualistic logic, based on the confrontation of positions, using the disjunction “or” to deal with reality, drives individuals to a static equilibrium where their opinions prevail.

Dualistic thinking, following the natural behavior of neurons, is the less energy consuming thinking process.

This drives naturally towards an over-adaptive behavior which implies submitting, dominating or opposing to the environment.

Dualistic logic generates naturally aprioristic fallacies to deal with the environment which allows individuals to build a parallel reality that works as a comfort zone where they have no need of adapting. Domination, submission and oppositions are the alternatives they manage to feel safe.

Dualistic dialectic is the justification of the actions of individuals when they need to remain in a static equilibrium.

The positive aspect is that static equilibrium allows managing reality as a systemic model based on cause-effect relationships although complexity cannot be apprehended.

Static equilibrium is necessary to deal with methods and supernatural and religious thinking. That is why the basic educational system is based on teaching static processes in order to allow people to access the world of work.

2) Dynamic Equilibrium

Dynamic equilibrium implies adapting to reality which implies a permanent accommodation process in order to generate the necessary complementation or supplementation with the environment.

It requires using the double dialectical logic to approach reality which is based on the conjunction “and” without the existence of disjunctions. This allows individuals to influence the environment while they are being influenced by it.

It requires having a structural approach in order to be able to apprehend the fundamentals of reality and a functional approach in order to measure them in terms of results. In a dynamic equilibrium environment things are not true or false, but functional or dysfunctional.

Dynamic equilibrium requires dealing with reality as a complex adaptive system. This implies that the structure of the complex adaptive system, defined by a purpose, an active function and an energy conservation function, needs to be apprehended.

This apprehension requires the use of the double dialectical logic which demands using double dialectical thinking.

It allows apprehending the complex adaptive systems in their nature and transforming them into systemic systems making the necessary compromises without leaving aside their essential structure while measuring the results that are being achieved.

Peter Belohlavek

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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