The unicist research on complexity is a paradigm shift that supersedes the preexisting empirical approach. The unicist pragmatism, the structuralism based on unicist ontologies and the functionalism driven by concepts were developed at TURI to research the field of complex adaptive systems.
More than 5,000 unicist ontological researches were developed since 1976 in the field of individual, institutional and social evolution. The main countries that originated these researches were: US, DE, UK, FR, JP, SE, CA, CH, IN, BR, AR, CAT, RU, CN, AU. TURI's Future Research Laboratory completed the research of 70 countries' archetypes until April 2015.
The Unicist Standard defines the structures and the unified fields that have to be managed in an adaptive system in order to organize it and achieve the results that have been defined as possible.
This allows managing the unified field of human adaptive systems in a reasonable, understandable and provable way. The energy saving produced by the strict use of the Unicist Standard of a function exceeds 30% (experience data).
The use of the Unicist Standard is a condition for designing Strategies and Architectures. All the structural solutions, business objects and technologies follow the Unicist Standard and generate significant energy saving effects.
The ontogenetic intelligence of nature defines the nature of an entity. It is defined by a purpose, an active principle and an energy conservation principle. As such, its structure was named unicist ontology and the name given to this intelligence was concept. It has to be considered that the research of the intelligence that underlies nature needs to be measurable, that is why this could only be done in the unified field where the results were measurable. The ontogenetic intelligence of nature discovered defines that there are only two types of relationships in the world: a complementary relationship and a supplementary relationship, integrated in a triadic function.
The objective of the research on the scientific evidences of the Unicist Theory was centrally focused on confirming: The existence and functionality of the ontogenetic intelligence of nature - That the unicist ontology emulates the ontogenetic intelligence of nature - The functionality of the unicist double dialectical logic to apprehend the triadic structure of nature and go beyond dualism - That concepts are defined by the ontological structure of an entity and have a functional meaning that is the framework of any possible action - The functionality of unicist objects that are built emulating the objects in nature.
The Unicist Ontology describes the nature of reality by emulating the ontogenetic intelligence of nature. Therefore there is an ontological logic to understand the nature of reality. Nature is not a question of opinion. From a functional point of view, the nature of a specific reality is unique. Therefore there can only be “one” unicist ontology of something. Unicist ontology has an extreme difference with a philosophical approach. Its purpose is not to exert influence but to generate added value. What it has in common with philosophy is the action of apprehending the nature of reality.
Modern dialectics began based on an idealistic and materialistic dualistic approach to reality (Hegel – Marx) that proved being fallacious. It produces rationalistic conclusions of reality that sound incredibly simple and make the producer feel extremely powerful in the sense that it is possible to change an existing reality using a rational approach. The unicist double dialectics is a triadic approach based on the emulation of the ontogenetic intelligence of nature that allows emulating nature and complex adaptive systems. Its application made the valid emulation of individual, institutional and social evolution possible.
The discovery of the ontogenetic intelligence of nature allowed finding the roots of evolution, involution and mutation. This intelligence drives the purpose of the living entities in nature based on an active principle that sustains growth, change and mutation and an energy conservation principle that saves energy, sustains the survival and the purpose and inhibits the entropy produced by the active principle. This structure that regulates the nature of living beings was called intrinsic concept and is described by a unicist ontological structure that was called ontogenetic map.
The objective of the Scientific Research developed by Peter Belohlavek at The Unicist Research Institute was to deal with complex adaptive systems. These systems might be natural systems or artificial complex adaptive systems like cultures, institutions or information systems. The final goal was to find a solution for complexity as a universal problem. This drove to the development of the Unicist Theory and the shift it generated in sciences. This approach has integrated systemic sciences with complexity sciences. The paradigm shift of the Unicist Theory allowed the emulation of nature in the field of complex adaptive systems.
Unicist R&D-Groups deal with the nature of things, which means that they manage the concepts that underlie reality that allow defining the functionality and credibility of facts, the possibilities for evolution and the objects that are involved in the process.
A Triadic Approach
They are based on the discussion of the foundations and justifications of the arguments, which implies using the pragmatic, structural and functionalist framework of the unicist approach. This is a triadic approach that subordinates the dualistic empirical approach, which is only acceptable when dealing with the operational aspects of the solutions that are developed.
The Unicist R&D-Groups are integrated by people who develop upgrades in effectiveness in complex environments.
The Unicist R&D-Groups that work in the field of basic sciences and natural sciences use the unicist complexity sciences research methodology. Their final goal is to expand the boundaries of the scientific knowledge of complex adaptive environments.
The Scientific Framework
They provide the framework for applied research in the field of complex environments. They use a pragmatic, structuralist and functionalist framework based on the triadic essential structure of nature. This approach subordinates the dualistic empirical approach when dealing with complex environments. The empirical approach is used exclusively to deal with systemic environments where the complexity has been “solved”.
The Core Activities
The core activities of these groups are the discovery of the conceptual structure of the functions in nature and the development of the necessary destructive tests to define the limits of the validity of the findings and the application of non-destructive tests to confirm their functionality.
These groups deal with the building of future scenarios in the social, economic and business fields. This approach is based on the fact that future and past are not symmetric. This is the case of all the environments that are evolving or involving. The past and the future are only symmetric in stagnated environments. When an individual “looks back” at the history, the events that occurred are reasonable, understandable and logical. Therefore, when approaching the future what is required is having the “logic” that is evident when analyzing the events of the past.
The building of future scenarios is based on the fact that the structure of the unicist ontology of a specific environment needs to be found in the past and that the facts of the present are used to infer the future. The unicist approach to future research is based on inferring the future based on the laws of evolution established by the ontogenetic intelligence of nature, which allowed developing the unicist ontology of evolution.
These R&D groups deal with Economics as a complex adaptive system. The objective of this activity is the development of 50-year economic scenarios for countries. These scenarios and plans are developed by R&D-Groups organized with local ONGs using the unicist conceptual economic technology to manage the complex aspects of economic evolution. The conceptual economic technology provides the information on the objects that influence economic evolution. Its integration with conceptual anthropology allows managing the social, political and economic scenarios as a unified field. These groups are integrated by teams that include local conceptual economists, educators specialized in superior education, anthropologists and jurists.
Economics as a Complex System
The economic scenario of a country drives the development of its social scenario. The Unicist Conceptual Economics was developed to deal with the nature of economic behavior allowing the development of transgenerational plans (20-50 years) to promote the development of countries. Managing economics as a complex adaptive system is an upgrade that allows dealing with the world of possibilities before entering the world of probabilities. An internationally recognized expert, Alan Greenspan, recognized the need of a conceptual approach to economy in order to maximize the predictability of economic scenarios. The 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.
The “Unicist K-Groups” develop and implement technologies in businesses. They are a participative way to develop solutions with sponsors and clients using the unicist technologies developed at The Unicist Research Institute. They became possible due to the integration of systemic methods, conceptual design, fundamental analysis and the use of business objects. They are professional groups that were developed to solve complex problems using the unicist technologies. They use the unicist logical approach to deal with complex problems. The “Unicist K-Groups” are integrated by members of the Unicist Confederation and members of the sponsors or clients. They produce solutions in a predefined timeframe. They are groups where the conceptual knowledge of complex adaptive systems is transformed into solutions.
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This library gives access to more than 2,500 documents and articles on: Unicist Strategy, Unicist Marketing, Business Management, Healthcare, Information Technologies, Conceptual Design, Human Behavior, Conceptual Economics, Financial Strategies, Future Scenarios, Unicist Theory of Evolution, Research, Conceptual Thinking, Complexity Sciences.
The conceptual approach allows individuals to deal with the essential functionality of the reality they are dealing with. This appears to be an obvious and necessary approach which in the real world has been left aside is not coming back. The comeback is the consequence of the technologies that were developed to manage the operational aspects which require now upgrading this process based on the knowledge of the concepts that underlie each function.
Here you can access the library that includes papers that deal with complexity sciences. Complexity Sciences are defined as the scientific approach to deal with complex adaptive systems. 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.
The Unicist Standard for Complexity Research was developed based on the characteristics of adaptive systems considered in their complexity. Some of the characteristics of such systems are:
- Open boundaries
- Bi-univocity of its components
- The existence of conjunctions without disjunctions
- The inexistence of observers
The unicist approach to complexity sciences integrates ontology, science and actions in a unified field. The development of the unicist ontological research methodology allowed discovering the unicist ontogenetic maps and ontogenetic algorithms of human adaptive systems making them reasonable, understandable and predictable.
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