Economic Sciences

Conceptual Economy is a Macro-Micro Approach

This is a synthesis of the works on conceptual economy developed by Peter Belohlavek to provide a guiding idea of how to deal with real economy considered as a complex adaptive system. It is part of the conceptual model for country scenario building and forecasting.

Conceptual EconomyThe development of the conceptual approach to country scenarios, which included conceptual economy, started in the ’70s and its core aspects were finished in the ’90s.

It was triggered by the need to find a structural solution to the multiple failures in applying economic solutions to different countries. The objective was to find the concepts that allow adapting the systemic economy to the true drivers of economics considered as a complex system managing its unified field.

A) What changed?

  1. The expansion of countries is not based on military occupation anymore. The military became a dissuasion power.
  2. Democracy became the next utopia in the world, which established the basis for the era of participation.
  3. The existence of several expansive poles and the creation of the European Union.
  4. The transformation of economy into the driver for local and international expansion.
  5. The role of banks in the administration of monetary circulation.
  6. The influence of International Institutions to prevent or palliate local economic/financial crises.

B) What remained unchanged?

  1. The fact that the USA is the leading economy in the world.

C) What made conceptual economy possible?

  1. The discovery of the logic that underlies nature.
  2. The discovery that individuals’ actions are driven by the concepts they have which are cross-cultural and timeless.
  3. The unicist anthropological modeling of collective unconsciousness and the consequent country (cultural) archetypes.
  4. The discovery that the archetype of a culture and the concept of work it has, establish the context of the unified field in which economic behavior becomes possible.
  5. The discovery of ethical intelligence as the deepest driver of individual and social behavior and its consequences in economics.
  6. The discovery of thee concepts and fundamentals that drive economic behavior.
  7. The discovery that the concepts of macro and micro economic behavior are homologous.
  8. The discovery of the unified field of economics.
  9. The development of a logical solution that allowed transforming a conceptual approach to the complexity of economics into a systemic approach to deal with variables and cause-effect relationships.
  10. The discovery that extreme consumerism, extreme communism and authoritarianism foster over-adaptive behaviors and survival ethics and stagnant survival ethics.

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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.

Unicist Conceptual Economy – A Macro-Micro Approach

The development of country and business scenarios required developing logical tools to infer the future to make forecasts reliable.

In this framework, the unicist conceptual approach to economy was necessary to integrate economic behavior with the political and social scenarios, on the one hand, and with the cultural archetype, on the other hand, in order to define economic future forecasts.

Unicist Conceptual EconomyAfter 20 years of application the “Unicist Conceptual Economy – A Macro-Micro Approach”, by Peter Belohlavek, will be launched to provide additional tools to avoid or deal with economic / financial crises.

Conceptual Economy as a name and idea already exists. If you are interested, you can find it at:

The Unicist Research Institute uses the conceptual approach for scenario building to define what is possible to be achieved, while the systemic economy allows defining the probabilities after a possibility is given.

Time has come to disseminate this knowledge because now the unicist complexity science approach is leading in its segment, and conceptual economy is a complex issue that provides true solutions.

On November 29, 2013 at 12:00 pm EST Peter Belohlavek will be lecturing on this subject as the first step of the presentation of the book.

The lecture is being promoted among members of the American Economic Association, the Chiefs of Economic Staffs of the Countries whose scenarios are being built (51 countries) and the members of our community.

Unicist Press Committee

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.

Economic Sciences require a Complexity Science Approach

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.

In the following pages, you will have 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


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
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

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).


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.

Dealing with economics requires using a pragmatic approach

Economic Sciences is a paradigmatic field of complex adaptive behavior. The unicist approach to economics integrates pragmatism, structuralism and functionalism. This first post is about the pragmatic aspects of the unicist approach. If you want to find the roots of pragmatism, we recommend reading the works of Charles Sanders Peirce, William James and John Dewey.

Framework of the Unicist ApproachThe unicist approach to complexity science was developed in order to provide a methodology that is specific to deal with complex adaptive systems in order to avoid the extension of the use of methodologies that correspond to the field of researching systemic aspects of reality.

This drove towards the integration of a pragmatic, structural and functionalist approach to research in the field of complexity sciences that is the framework used in all the researches done at The Unicist Research Institute.


The research in the field of complex adaptive systems does not allow artificial experiments because they change the conjunction of elements that integrate them.

Therefore a pragmatic approach that integrates practice and theory is needed.

This implies that complexity science requires the integration of reliable knowledge (theory) with experiencing (practice) in order to define the functionality of a complex adaptive system.

The Unicist pragmatism is based on the integration of theory and practice based on the knowledge of the ontogenetic map of the specific aspects of reality which include their fundamentals.

Unicist pragmatism is based on the unicist reflection process (action-reflection-action) and the use of destructive tests to establish the limits of the theoretical knowledge and non destructive tests to put pragmatism into action.

If you are not aware of the meaning of the word pragmatic, we strongly recommend researching the concept “pragmatism”.

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.