Complex Adaptive Systems

Expanding the Boundaries of Sciences

As it is known, the management of complexity has been an unsolved challenge for sciences. This challenge was faced in 1976 by The Unicist Research Institute that was a pioneering organization in finding a structural solution for complexity without using artificial palliatives.

Complexity Science Research

The paradigm shift, based on the emulation of nature, was developed to solve the need of having reliable knowledge to deal with complex environments. It was provoked by the fallacy of considering empirically-justified knowledge as reliable knowledge.

It allowed managing complex environments as a unified field.

The paradigm shift was triggered by the need to understand complex adaptive systems. The shift implies having subordinated the empirical approach to sciences to a pragmatic, structuralist and functionalist approach to deal with complex environments that integrates, at an operational level, the preexisting empiricism.

This is a superior level in sciences that integrates complexity sciences with systemic sciences using the double-dialectical logic to emulate the ontogenetic intelligence of nature and using objects to emulate the organization of nature.

Unicist Press Committee

NOTE: The Unicist Research Institute (TURI) is a world leader in its segment. Since 1976, it has been specialized in complexity sciences applied to the research on the roots of evolution and its application to social, institutional, business and individual evolution.


The Unicist Theory changed the paradigms of the scientific approach to complexity

The Unicist Theory, developed by Peter Belohlavek at The Unicist Research Institute, changed the paradigms of the scientific approach to complexity. It made a logical approach to complex adaptive systems possible, making them reasonable, understandable and manageable. It integrated Complexity Sciences and Systemic Sciences in a unified field.

The Unicist Theory emulates the organization of nature by introducing unicist objects to drive business processes, institutional processes and social processes. You can access the complete document at

Complexity Science ResearchOverview

What is the Unicist Theory?

It is the theory that explains the nature of things.

What does the wording “nature of things” mean?

The nature of an entity is defined by its functionality in an environment, which has an underlying conceptual structure that emulates the intelligence that underlies nature.

What does the intelligence of nature mean?

It means that the functionality of every natural entity is driven by a purpose, an active and entropic principle that drives changes and an energy conservation principle that sustains the purpose.

What is the knowledge of the nature of things needed for?

To know what we are doing or talking about in order to better adapt to the environment, which implies influencing the environment while being influenced by it.

How reliable is this knowledge?

This knowledge is fully reliable because it deals with the conceptual functionality of things. It solves the empirical probabilistic approach of most systemic sciences.

When is the application of the Unicist Theory necessary?

It is necessary to diagnose, build strategies and design architectures in adaptive environments like businesses, institutions, social behavior and future research.

What happens if it is not used when dealing with complex adaptive environments?

When the nature of an entity is not considered, the capacity to adapt is lost and is replaced by dominating, opposing or submitting to the environment.

Which are the limits of its application?                                                 

The limits are given by the capacity of individuals to apprehend the concepts that underlie facts.

The Basic Breakthroughs that sustain the Unicist Theory

1) The discovery of the Ontogenetic Intelligence of Nature that regulates the evolution of living beings.

2) The discovery that Complex Adaptive Systems do not include variables but include objects that are interrelated by biunivocal multiple relationships.

3) The discovery of complementation and supplementation as the unique types of relationships in Nature.

4) The discovery of Human Ontointelligence that allows apprehending the concepts that underlie the nature and things.


The objective of the development of the Unicist Theory was to find a structural solution to deal with complex adaptive systems considering their characteristics. Complex adaptive systems have, among other aspects, open boundaries and are integrated by the conjunction of their elements. In such systems, there is no possibility for the existence of observers.

The Unicist Theory, based on the discovery of the ontogenetic intelligence of nature, allowed developing the four scientific pillars that provided the basics of the unicist logic based and objects driven technologies to manage human complex adaptive environments: Conceptual Economics, Conceptual Anthropology, Conceptual Psychology and Conceptual Management.

The Unicist Theory was originated by the need of finding responses to the question of why things happen in the social and economic world in order to influence evolution. It was triggered by the need of going beyond the empirical Know How that was used in the 70s to approach complex adaptive environments and the need to integrate it with a “Know Why”, that was inexistent.

The author developed an inductive approach to complex environments, which implied that he began at an operational level dealing with complex adaptive systems and entered deeper and deeper until the Unicist Theory was born. This theory was born when the structure of the concepts that underlie facts was discovered.

Then he began the application and research work to find the structure of concepts in the field of complex adaptive systems, beginning with biology and ending with social sciences and future research. This research work was possible due to the development of the unicist ontological research methodology that changed the paradigms of sciences to approach complexity.

The Theory itself

The research in complexity sciences to manage complex adaptive systems that led to the discovery of the Ontogenetic Intelligence of Nature and the Unicist Theory began in 1976. It was led by Peter Belohlavek and included the following discoveries and developments: Unicist Ontology, Unicist Logic, Unicist Conceptualization, Ontogenetic Maps and Unicist Objects.

The Unicist Unified FieldThe Unicist Theory was developed to manage the nature of complex adaptive entities.

On the one hand, to approach the nature of things an individual needs to be able to apprehend the essential patterns that underlie the operational patterns that are observable.

But, on the other hand, complex adaptive entities have open boundaries, which imply that the individual, who intends to influence the environment is part of the system, which makes traditional systemic science research methods fallacious.

In this context, the Unicist Ontological Research Methodology was developed to transform complex problems into manageable problems.

The Unicist Theory needs to be apprehended using the ontointelligence any individual has. It defines the individual’s capacity to apprehend the nature of things in adaptive environments.

It has to be considered that 3-5 year old children use their conceptual approach to reality to adapt to an environment that fully exceeds their rational comprehension by posing and endless questioning on the “WHY” of things.

Ontointelligence is necessary to manage reality as a unified field. This is necessary when dealing with complex adaptive systems. Ontointelligence is the deepest human intelligence that allows apprehending the nature that underlies observable facts. It is integrated by ethical intelligence, strategic intelligence and the logical type of thinking of individuals.

You can access the complete document at

Scientific Dissemination 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.


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.

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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.


The Unicist Double Dialectical Logic to deal with Complexity

Complexity in Businesses

It is necessary to define complexity in the field of business. It needs to be understood to develop and use adaptive systems:

Knowledge of Adaptive SystemsWhen you have to add 1 + 1 the problem is simple; 1 + 1 = 2. There is only one possible solution and all you have to do is follow a method.

But the problem becomes complex if you reverse the equation (2 = ???) because you need to produce a result. In this case there are infinite solutions and the problem is complex because you have to find the equation that optimizes the process of producing results. That is why using methods is simple but ensuring results is complex.

We define a complex system as an open system, which defines the functionality of a unified field through the conjunction of objects and/or subsystems.

Complexity Science Organizations

There are three main organizations in the world that are fully focused on complexity science and its application in the field of human complex adaptive systems.

We strongly recommend comparing their approaches to choose the one that is functional to your needs. We suggest beginning by accessing their institutional page to apprehend the concept of adaptiveness they manage:

Santa Fe Institute – Empirical approaches

New England Complex Systems Institute – Empirical approaches

The Unicist Research Institute – A unicist logical approach (based on a pragmatic, structuralist and functionalist framework)

Structural comparison of the applied research
in the field of Human Adaptive Systems
(Individual, social & cultural behavior; institutional & business processes; future research)


Unicist Approach

Alternative Approaches

Theoretical Framework Pragmatism, Structuralism, Functionalism Empiricism
Starting Point Possibilities Needs
Goal Produce Results Produce Results
Attitude Solution Building Problem Solving
Objective Complex Adaptive Systems Development Complex Problems Solving
Tools Logical Tools Empirical Tools
Processes Objects Driven Variables Driven
Diagnoses Based on Ontogenetic Maps Based on Variables
Future Forecasts Based on Logical Inferences & Projections Based on Projections

Dealing with Businesses as Complex Adaptive Systems

Businesses are typical adaptive systems. Businesses need to adapt to the environment in order to achieve their goals.

The Unicist Logical Approach allows emulating the dynamics of a business in mind that allows managing it as an adaptive system. Thus this approach permits defining reliable scenarios, develop diagnoses, build strategies and design business architectures.

The more adaptive a system is, the less energy it consumes to generate a predefined value. Adaptive systems require using predictors to deal with the adaptive aspects of the reality that is being managed. This requires using a unicist logical approach to define the rules that regulate adaptiveness and allow designing the architecture of the system.

Designing adaptive systems implies dealing with the complexity of such systems and developing operational solutions that can be managed by everyone to expand businesses and save energy. Complexity science can be defined as the scientific approach to complex adaptive systems.

The Unicist Logical Approach to Complexity Sciences

Learn about the Unicist Logical Approach at:

The unicist logical approach manages the adaptive aspects of business as unified fields based on the knowledge of their ontogenetic maps.

The knowledge of the ontogenetic map of a business, its market and the context allowed managing the fundamentals that define the possibilities of business actions.

The future scenario building became possible based on the knowledge of the ontology of evolution and the ontogenetic maps of a business and its restricted and wide contexts.

This knowledge allowed defining synergic maximal strategies, to expand beyond the boundaries of a business, and minimum strategies to work within them.

Adaptive business processes became reliable based on the use of ontology based business objects. The use of objects upgraded the role of human work in business.

The integration of fundamental analysis and technical analysis allowed building reliable business knowledge, transforming uncertainty into risk and integrating the knowledge of the possibilities of success with its probabilities.

All the solutions, business objects, technologies and knowledge provided by The Unicist Research Institute are based on the unicist logical approach and generate significant energy saving effects.

Steps to Manage Businesses as Adaptive Systems:

  1. Forecast the future of the adaptive system that is being influenced.
  2. Diagnose adaptive systems to define the possibilities of what can be achieved and how to do it.
  3. Develop the necessary strategies that allow developing both maximal strategies to expand the boundaries of the system and minimum strategies to ensure survival.
  4. Design the architecture of the solution in order to obtain the results that are necessary and possible to be achieved.

This requires having a conceptual approach to apprehend the unified field of the business and being able to transform adaptive aspects into operational solutions.

The Unicist Confederation is now expanding worldwide providing unicist object driven technologies to deal with the adaptive aspects of businesses.

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.


June 1st is our 37th Anniversary

It is a very special pleasure to celebrate this anniversary in the middle of our institutional expansion that includes the recognition of the scientific work that sustains it.

Unicist Unified FieldWe want to take advantage of this anniversary honoring Peter Belohlavek, the creator of the Unicist Theory, and we would like to invite you to participate in this recognition by learning about the changes this theory introduced in multiple sciences.

Please enter the following link to learn about these changes:

The Unicist Theory expanded the field of “systemic” sciences by integrating complexity sciences that allowed managing complex adaptive systems without needing to use palliatives.

We invite you to stay informed on the scientific developments following our institutional facebook:


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.