Introductory Program coming soon:
Introductory Program coming soon:
Facileness degrades, marginalizes and kills social evolution. As is has been researched, facileness is the root cause that underlies involving environments and business failures. It oversimplifies reality by transferring risks and costs to others and avoiding conflicts. This makes the solution of the root causes of problems unnecessary and degrades the value propositions, the reliability and the brand attributes of any culture or business.
While facileness generates involution through short-term maximization, the unicist evolutionary approach drives and catalyzes evolution.
The unicist evolutionary approach avoids facileness by designing processes as a unified field, using value adding strategies, building objects to ensure results and developing pilot tests to confirm their functionality and learn from the environment.
The concepts and fundamentals that underlie social and business functions are the root-drivers of their functionality. The eventual dysfunctionality of the fundamentals is the root-cause of the problems of these functions.
This is an approach that catalyzes the adaptability of cultures and business, their speed of growth in an environment of customer orientation and sustainability. It is the necessary microeconomic approach in the 4th Industrial Revolution.
Unicist Press Committee
NOTE: The Unicist Research Institute has been, since 1976, the pioneer in complexity science research where the Unicist Evolutionary Approach was developed.
All developed, developing and emergent cultures use social objects to foster their evolution. Social objects are “encapsulated” entities that regulate the functionality of cultures. Laws, regulations, and social, economic and political systems, including institutions, and organizations of any kind, are examples of social objects.
The social functions are regulated by driving, inhibiting and entropy inhibiting objects. The catalysts are part of the restricted context of the process that is being catalyzed, while the gravitational objects are part of the wide context. These catalysts need to be redundant with the gravitational objects that sustain the basic framework of the functions involved.
In developed cultures, legality and legitimacy tend to be overlapped. These cultures use driving, inhibiting, entropy inhibiting, catalyzing and gravitational objects that establish the framework and administrate the operational rules of the environment. See “Microeconomics driven Development” www.unicist.net/economics/participate
The gravitational objects, like the constitution of a country, establish the basic framework of a culture considered as a system. The catalyzing objects establish the acceleration that ensures the synchronicity of actions for the evolution of any adaptive system.
The drivers, inhibitors and entropy inhibitors establish the operational rules that have to be followed to be part of the system.
Unicist Press Committee
NOTE: The Unicist Research Institute has been, since 1976, the pioneer in complexity science research where the Unicist Evolutionary Approach was developed.
Facileness is an addiction that is installed in over-adaptive environments, which drives their stagnation and/or involution. This behavior is driven by the submission to the fallacious myths of a society, is acted out by the actions of transferring risks and costs to others and is sustained by the avoidance of conflicts.
Facileness is necessarily short-term oriented and cannot deal with structural approaches, institutionalization, the root causes of problems or strategic approaches to reality.
Proposing utopias, making shortcuts, subjectifying, “buying time”, lying and denying facts are typical actions in facileness driven environments.
Facileness, as an addiction, is fully unconscious and develops the necessary defenses to maintain the status quo while following the fallacious myths of the environment.
As an addiction, it creates a parallel reality in the world where only those who share this addiction can participate as leaders.
The submission to the fallacious myths proposes behaviors that avoid facing the weaknesses that cannot be accepted by the environment.
This social behavior is installed as an addiction in environments that are natural resources dependent without assuming an active role to increase the value of the resources.
It is also installed in extremely poor over-adaptive environments.
Facileness profits by transferring risks and cost to others, which installs distrust in the environment and reinforces an extremely individualistic behavior.
As conflicts are drivers of changes, this addiction requires avoiding conflicts to ensure that the parallel reality is not endangered.
Minimizing facileness is a basic condition for social development and requires that the leaders of the environment feel that they are “Peers in the World”, which do not need to be submissive or oppositional to evolve.
This requires that they have an adaptive attitude, which means that they feel they can influence the environment while they are influenced by it.
The development of a “Peers in the World” attitude requires promoting a strategic approach to reality among young leaders of the environment in a way that they can perceive short-term results while a long-term approach is introduced.
You can access the Transgenerational 50-year Project at:
NOTE: The Unicist Research Institute has been, since 1976, the pioneer in complexity science research where the Unicist Evolutionary Approach was developed. It was one of the precursors of the Industry 4.0 concept.
The birth of an industrial revolution is triggered by new technologies, which produce a new industrial stage when they are able to satisfy latent needs of a society. The history of industrial revolutions show that they expand as such in environments where they satisfy the needs of an “establishment” of a culture.
As soon as they begin to have a viral expansion, the industrial revolutions demonstrate their true value and the underlying concepts can be perceived. In the case of the 4th Industrial Revolution, it becomes evident that its purpose is to introduce adaptiveness into industrial and business processes.
It has to be considered that adaptiveness, the concept that underlies flexibility, was always a goal in industry but could not be solved without increasing costs and affecting the quality of the produces. Industry 4.0, due to the now available technologies, introduced adaptiveness but also increased the productivity and quality of the produces.
This opened a new stage that was based on industrial processes, although it deals with businesses as a whole. It introduces adaptiveness by managing the concepts and fundamentals of business functions. This allows managing the root causes of the functionality of processes to increase their productivity and quality and to ensure their reliability.
Unicist Press Committee
NOTE: The Unicist Research Institute has been, since 1976, the pioneer in complexity science research to deal with adaptive entities and became a private global decentralized leading research organization in the field of adaptive systems and environments. It was one of the precursors of the Industry 4.0 concept
The empowerment of the value of country brands is basic to manage sustainable globalization and exerting diplomatic power. When we talk about country brand we mean the value behind a single phrase or word: “made in Germany, USA, Taiwan, China, Japan, etc.” or the name of the country as a representation of its values.
Brands are defined by the expectation of added value they generate, the uniqueness of their attributes and the consistency of their actions. The empowerment of country brands requires managing the concept, and of the under-promising and overdelivering attitude to install a consistent brand.
It requires several decades of significant investment in communication to empower a country brand which needs to be believed the members of the community in order to be consistent.
To be consistent, it is necessary that those aspects of the society that are chosen as representative of a countries positioning assume a world class positioning. The amplitude of the meaning of “world” defines the functionality of the brand.
Microeconomics Driven Development
Social crises unavoidably foster the change of an environments. Crises happen when the security framework of a society or group becomes dysfunctional. Social crises always include economic, ideological and social aspects.
Crises force people to do things that would not have done before in order to survive. The palliation of crises is a spontaneous natural response that sustains the status quo of a society and, if palliation succeeds, all remains unchanged but degraded, towards a lower level of collective ethical intelligence.
Crises drive people towards a superior level of individualism to ensure their individual survival and the survival of the group they belong to. Those cultures that are subject to regular crises, whatever their kind, have a weak cultural nucleus.
There is a different functionality of crises when they occur in an environment that has a long-term goal implicit in its archetype which drives the collective intelligence. Crises work as catalysts for growth when they happen in a society or group that has long term goals.
Crisis management for growth requires developing simultaneously two strategies: a maximal strategy to develop structural adjustments based on the lessons learned from a crisis and a minimum strategy to palliate the negative effects trying to minimize the dysfunctional effects of the increase of individualism.
In cultures that have been affected by regular crises for decades that first step is to install long term planning which, paradoxically, is considered as not feasible in such environments.
Microeconomics Driven Development
Depending on the width of the application field of the innovation, there is a notorious difference between businesses that are built upon an invention or discovery. There is a high risk of building a butterfly company when the innovation has a specific use with a specific added value.
A butterfly company is defined as a business that has a beginning and an end within a short timeframe. Only innovations that create a category that has social added value where the trends expand their use can be considered as start-up businesses. A category has been created when a new concept has been installed.
If you read the history of Google, Apple, Ford, Siemens, Facebook, etc. you will find the description of startups that became corporations. There is no difference between them and the creation of a startup based on an innovation that has notorious social value, where the IP can be protected and that is able to build a growing market.
Isolated inventions need to be managed as opportunities that will be absorbed by the market and where the creators can make a larger or smaller profit depending on their negotiation capacity.
Microeconomics Driven Development
The objective is to install in postgraduate studies and doctorates the research-based learning approach focused on developing real solutions for unsolved problems.
The goal of this new standard is that the participants learn from the feedback of their decisions and are able to approach the solution of problems in adaptive environments. It moves from an answer driven learning approach to a question driven learning approach.
More than 20 years ago, the unicist reflection driven learning approach was developed at The Unicist Research Institute. The objective of this approach was to provide an educational framework and a methodology to foster the learning of the management of root causes of adaptive systems and environments.
The final goal of this approach is that the participants develop real solutions for complex problems which include their implementation to confirm their validity.
This approach is homologous to the research-based learning approach when it is fully focused on developing and implementing a solution. It differs totally from a research approach based on literature surveys.
For the case that the standard of research-based learning cannot be installed as an educational standard, the MDD project includes the reflection driven education for the leaders of private organizations.
Microeconomics Driven Development
The paradigm shift of the Unicist Theory is based on the discovery of the ontogenetic intelligence of nature, which is the intelligence that underlies nature. It establishes the basic structures of behavior in nature. The understanding of the unicist paradigm shift is necessary to accept the validity of the resulting applied technologies.
The Unicist Theory gave birth to Complexity Sciences, providing both their epistemological structure and their integration with Systemic Sciences. This allowed developing a scientific approach to adaptive environments.
At an operational level the objective 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 objective of the research works developed at The Unicist Research Institute has been the development of solutions to influence complex environments in order to foster their evolution. This research drove to a paradigm shift in science, which is based on emulating the maximal and minimum strategies that are implicit in the intelligence that underlies nature.
This allowed discovering the double dialectical behavior of nature and transferring this knowledge to its application to deal with adaptive environments in order to ensure the results that are being fostered.
The core application of the paradigm shift in sciences was the development of maximal strategies to grow and minimum strategies to ensure survival using double dialectical actions to manage functions in complex environments in order to ensure results.
The unicist approach to complexity emulates nature to deal with natural or artificial complex adaptive systems. Such emulation is based on the discovery of the ontogenetic intelligence of nature that regulates the evolution of living beings and natural entities.
The Unicist Theory explains the dynamics and evolution of living beings and complex adaptive entities. It substituted empiricism by a pragmatic, structuralist and functionalist approach and replaced knowledge falsification processes with destructive testing processes.
The four pillars of the paradigm shift developed by Peter Belohlavek are:
The Unicist Theory explains the evolution and dynamics of complex adaptive entities whether they are natural beings or artificial entities. This theory is based on the discovery of the triadic structure of the ontogenetic intelligence of nature.
This theory describes the universal structure of the unified field in nature that is applicable to all complex adaptive entities whatever their kind. It needs to be considered that the unified field has a triadic structure that is homologous to the structure of the ontogenetic intelligence of nature.
The evolution of complex adaptive entities is based on the laws of the ontogenetic intelligence of nature. This intelligence includes an active principle that drives the evolution and establishes the maximal strategy of the entity while it generates entropic effects. It also includes an energy conservation principle that establishes a minimum strategy to ensure the survival.
This theory allows emulating the organization of nature when dealing with adaptive environments. It is based on forecasting their future scenarios, defining the functional unified fields based on the knowledge of the ontogenetic map that defines their conceptual structure. This approach simplifies the management of complex environments.
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.
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.
The 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.
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The objective of the scientific evidences of the Unicist Theory is focused on:
The scientific evidences of the Unicist Theory that confirm its functionality to deal with complex systems are:
Access the scientific evidences: www.unicist-school.org/complexity-sciences/scientific-evidences
This synopsis describes the “before” and “after” the development of the unicist approach to complexity.
Before: Sciences were based on an empirical cause-effect approach that was functional in systemic environments but dysfunctional to deal with complex adaptive environments that have open boundaries and bi-univocal relationships among their components.
After: The unicist approach to sciences is based on a pragmatic, structuralist and functionalist framework that allows integrating the scientific approach to both complex and systemic environments. It subordinates the empirical approach to deal with operational aspects after the complex aspects have been managed using a unicist ontological approach. It integrates systemic sciences and complexity sciences in a unified field.
Example in Economics: The knowledge of the unicist ontogenetic maps allow defining the structural economic solution for an entity and the use of the technical-analytical tools allows defining and monitoring the operation.
Before: The category of complexity sciences was inexistent as such. The understanding of complexity was simplified by using artificial palliatives, to generate pseudo-systemic structures of variables. This implies using a dualistic empirical approach to reality.
After: All fields of reality where their evolution depends on the feedback from the context belong to the field of complexity sciences. Complexity Sciences provide solutions for adaptive environments.
Natural or artificial complex adaptive environments are approached as unified fields that are defined and regulated by their ontogenetic structures and are constituted by processes and objects that work as complex adaptive entities. This approach implies using a triadic, pragmatic, structuralist and functionalist framework.
Example: This is the case of natural sciences, life sciences, social sciences, economic sciences, political sciences, anthropology, behavioral sciences, etc.
Before: The structure that regulates the evolution of nature was unknown.
After: The structure of nature that regulates its evolution is given by the triadic structure of the ontogenetic intelligence of nature.
This intelligence is defined by a purpose, an active principle and an energy conservation principle that are integrated in their oneness defining the functionality of the entity. The active principle drives the evolution while the energy conservation principle sustains the purpose. The ontogenetic intelligence of an entity defines its intrinsic concepts that regulates its evolution.
Example: 1) The structure of the human nervous system where the purpose is defined by the vital function, the active function is given by the motor system and the energy conservation is given by the sensitive system. 2) The structure of the atom where the purpose is given by the protons, the active function is given by the electrons and the energy conservation function is given by the neutrons.
Before: The evolution is random.
After: Evolution is purpose driven to sustain the survival of the species.
Example: The evolution of finches explained by Charles Darwin. The beak of the finches evolves to ensure the survival of the species.
Before: The apprehension of the Unified Field has been an unsolved problem in sciences. The apprehension of nature was considered as part of intuition and an evidence of wisdom.
After: The Unicist Theory gives access to the triadic structure of the unified field in nature that defines the concept that regulates its evolution.
The discovery of the triadic functionality of ontointelligence allowed apprehending the unified field in nature. It solved the problem of the integration of solutions that are incompatible at an operational level.
This intelligence, that is used by individuals to apprehend the nature of a reality, is integrated by the ethical intelligence, the strategic intelligence and the logical thought. It requires being able to deal with the ambiguity implicit in any complex environment.
It opened the possibility to make reasonable, understandable and provable the emulation of nature. It defines the possibility of managing different levels of complexity in the real world.
Example: The ethical intelligence is the deepest intelligence of human beings that evolves with their maturity and defines the true intentions of individuals when dealing with the environment. It is functional when it is consistent with the ethical intelligence of the environment.
Before: The structure of nature was unknown therefore there were no laws of evolution
After: The evolution implies that the active principle drives the evolution of an entity while the energy conservation sustains the status quo.
When the energy conservation principle prevails, the entity becomes stagnated in order to survive.
Example: 1) The change of the beak of finches is an example of evolution. 2) The encystment of microorganisms is an example of the prevalence of the energy conservation principle.
Before: The evolution of living beings or complex adaptive environments was forecasted based on experiential benchmarks, the consensus of expert opinions or the use of intuition (Nostradamus and others).
After: The unicist approach to evolution is based on discovering the unicist ontological structure of an environment and using the signs and symptoms in order to infer the future using the principles of evolution. The opinions of experts are used as destructive tests, while pilot forecasts are used as non-destructive tests.
Example: The development of county future scenarios or business long-term planning.
Before: The Complex Adaptive Systems were managed as systemic systems to manage their processes and functions.
After: Complex adaptive systems, being natural entities or artificially created, are integrated by objects, which are integrated in a unified field.
Each object is an interdependent autonomous entity that fulfills a function and has a quality assurance that ensures its functionality.
Example: 1) The human body is integrated by objects that are evident to everyone and other objects that are not. The organs of the body are objects that are evident and the amino-acids belong to the category of not evident objects. 2) Countries are social entities organized by objects that function as institutional roles. 3) Institutionalized businesses are complex adaptive entities that are organized by objects and functional roles to ensure their permanence.
Before: The Empiric frameworks were used in order to falsify hypotheses.
After: The use of a Pragmatic, Structuralist and Functionalist framework was the basis for the development of destructive tests to define the limits of knowledge and non destructive tests to confirm the functionality.
Example: 1) The research of complexity has to be done in a real environment and not in artificial environments. 2) The research of complex environments requires an ontological research focused on the objects that integrate a complex adaptive system.
Before: Empiric knowledge is validated by confirming its justifications.
After: Reliable knowledge of complex systems is validated using “foundations” to confirm the functionality of their concepts and justifications to confirm the operational aspects.
Example: The statistical validity of human behavior needs to be applied based on considering that each conceptual segment of a population is an independent universe.
Before: There was no knowledge about the conceptual structure of the relationships in nature.
After: The relationships between the elements that integrate a unified field are complementary or supplementary.
There are no other types of relationships among the elements that integrate a unified field than those of complementation and supplementation.
Example: The purpose and the active function of a concept have a relationship of supplementation. The relationship between the purpose of the concept and the energy conservation function is based on a complementary relationship.
Before: (1724 – 1804) Immanuel Kant defined that concepts have a functional meaning that is the framework of any action.
After: The concepts of non-living entities have the same structure of the ontogenetic intelligence of nature, defined by a purpose, an active function and an energy conservation function that define the extrinsic concepts.
These functions work as a unified field that drives human action. The extrinsic concepts define the functionality of things and are deposited by humans in order to manage their nature.
The structure of extrinsic concepts is timeless and cross-cultural; their credibility zone is defined by the environment and its conjuncture. They exist as long as the function exist. The mental concepts are the concepts that guide the actions of individuals and are stored in their long term memory.
Example: The concept of leadership is integrated by a purpose, which is to sustain the authority of an individual, its active function is given by the participation with the group and the energy conservation function is given by the power that an individual has to influence the context.
Before: Ontology was an approach to apprehend the nature of reality, which belonged to the field of philosophy.
After: Unicist ontology is a structured approach to apprehend the nature of complex adaptive systems using an emulation of the ontogenetic intelligence of nature.
The unicist ontology is necessary to deal with Complexity Sciences because it allows defining the concepts that guide actions.
Example: The nature of any strategic approach to reality implies an emulation of nature meaning that there is a purpose to be achieved, the active function is given by a maximal strategy that drives beyond existing boundaries in order to provoke evolution, and the energy conservation function is given by a minimum strategy that ensures survival.
Before: The complex adaptive systems were considered as systemic systems. They were managed considering their functional elements as variables.
After: A complex adaptive system is considered as an open system, in which the conjunction of objects and/or subsystems determines the functionality of the unified field.
These systems have no variables but objects that are integrated by the conjunction “and”. In complex systems there is no “or” in the relationships of their objects.
Example: The human body is a paradigmatic example of a complex adaptive system that has no variables. It has objects that fulfill functions and processes that establish the relationships between these objects. The organs of the body are evident objects.
Before: The use of analogical thinking was dominant and critical thinking was a superior approach to adapt to the environment.
After: The ontointelligence to deal with the unified field of complex environments was discovered. This drove to the integration of analogical thinking, critical thinking and unicist thinking that allows apprehending the unified field and fundamentals of a given reality. Analogical thinking is spontaneous and based on genetic intelligence, critical thinking requires an analytical thinking process and unicist thinking demands the use of a unicist reflection process.
Example: The design of solutions of complex problems.
Before: The logical approach to deal with sciences was based on empiricism, which requires the use of a dualistic approach in order to disregard the unified field of complex adaptive systems.
Dualism has two main justifications that sustain the artificial isolation of aspects of reality. On the one hand, the “Truth Tables” (True or False) are an example of dualistic logic that is functional to manage systemic functions. But they are dysfunctional to deal with the unified field of complex adaptive environments.
On the other hand, “Ceteris Paribus” is a fallacious solution to isolate variables or aspects of reality that is based on defining all other aspects of a problem as constants. It is used to confront adaptive environments without needing to adapt.
After: The double-dialectical logic is an integrative logic based on the use of conjunctions to define the structure of the unified field of complex adaptive systems using double-dialectical thinking.
The elements included in complex environments are not true or false. They are defined by their levels of functionality. Their functionality is defined by the value generated by the integration of their triadic functions that require the use of the logic of double-dialectics in order to be understood.
Example: Both the dialectics of Hegel and Marx have a dualistic basis using a thesis-antithesis model that drives to a resulting synthesis.
But cultures have homeostatic elements that participate in the social process which implies a triadic dialectical approach defined by a thesis-antithesis-homeostasis model.
To access a triadic approach with a dualistic mind-set (the neurons are on or off) it is necessary to use a double-dialectical model that integrates thesis and antithesis in the active function with the thesis and homeostasis in the energy conservation function.
The double-dialectical logic is a mind-set that needs to be used to emulate the ontogenetic intelligence of nature in order to manage concepts to deal with complex adaptive systems.
In Scientific Research – 1980: Development of a unicist ontological methodology for complex systems research, substituting the systemic approach to research adaptive systems. 2014: The integration of the unified field of macro and micro behavior. 2015: Development of the destructive and non-destructive tests to research adaptive environments.
In Life Sciences – 1988: Discovery of the functional structure that regulates evolution and the unicist ontological structure of living beings as a unified field. 2006: Discovery of the unicist ontological algorithm of evolution and involution. 2008: Discovery of the two types of integration, complementation and supplementation, of elements in complex adaptive systems.2012: Discovery of the unicist ontology of biological entities. 2013: Confirmation of the unicist ontology of viruses. 2014: Discovery of the ontological structure of chronic diseases. 2014:Discovery of the structure of therapeutics. 2015: Discovery of the ontological structure of health. 2016: Development of the Scientific Foundations of Medicine.
In Complexity Sciences – 1998: Development of the unicist ontology emulating the ontogenetic intelligence of nature. 2003: Discovery of the anti-concepts that work as antimatter. 2006: Development of objects to manage human adaptive systems emulating the structure of nature. 2011: Discovery of the unicist ontology of complex adaptive systems.2014: Discovery of the behavior of objects in complex adaptive systems. 2015: Discovery of the essential opposition but operational complementation between the active function and the energy conservation function of concepts.
In Information Sciences – 2002: Development of unicist ontogenetic based ontologies replacing the empirically structured ontologies. 2014: Development of unicist adaptive robotics. 2015: Development of prototypers. 2016: Discovery of the nature of conceptual design. 2018: Discovery of the ontogenetic map to emulate the unified field of adaptive environments. 2018: Development of the unicist cognitive systems.
In Future Research and Strategy – 1984: Modeling of the ontological structures that allow inferring the evolution developing the ontogenetic maps of human adaptive systems. 2014: Confirmation of the functionality of ethical intelligence in future research. 2015: Discovery of the unicist ontology of personal strategies. 2016: Discovery of the nature of entrepreneurial strategies. 2017: Discovery of the double dialectical tactics.
In Logic – 1986: Development and formalization of the integrative and the unicist logic. 2013: Functionality of Dualistic Logic in complex environments. 2013: Discovery of the structure of aprioristic fallacies.
In Anthropology – 1986: Discovery of the “invariables” of human behavior. 1997: Discovery of the double dialectical behavior. 2008: Discovery of the anthropological lifestyles. 2010: Discovery of the institutional and social viruses. 2012: Discovery of the integration of ontogeny and phylogeny. 2012: Discovery of the stagnant survivors’ role in societies. 2012: Discovery of the unicist ontological structure of aptitudes, attitudes and intentions. 2013: Development of the unicist ontology of cultural adaptiveness & over-adaptiveness. 2014: Synthesis of Conceptual Anthropology. 2014: Discovery of the Cultural, Institutional, Individual and Social Archetypes. 2015: Discovery of the functionality of rationalism and subjectivism as social and individual addictions. 2016: Discovery of the nature of innovation processes. 2017: Discovery of the context of social dysfunctional utopias.
In Economic Science – 1989: Discovery of the unicist ontological structure of Economics.1998: Discovery of the unicist ontological algorithm of the price elasticity of demand. 2004: Discovery of the ontogenetic structure of economic models and their functionality. 2011: Discovery of the ontology of currency and inflation. 2012: Discovery of the ontology of the industrialization level. 2012: Discovery of the unicist ontology of the overcoming of scarcity. 2012: Pricing of Futures and Options. 2012: Discovery of the unicist ontology of speculative manipulation. 2014: Synthesis of Conceptual Economy. 2015: Discovery of the unicist ontology of economic freedom.
In Political Science – 1990: Development of the ontological algorithm and the ontogenesis and phylogeny of ideologies and their functionality. 2013: Development of the unicist ontology of Social, Economic and Political Democracy.
In Social Sciences – 1993: Discovery of the collective unconscious and the unicist archetypes of cultures. 2012: Discovery of the role of stagnant survivor elites in the stagnation of segments or cultures. 2016: Discovery of the nature of social networks.
In Linguistics – 2004: Discovery of the unicist ontological algorithms of natural, ambiguous and figurative languages and the unicist ontology of words. 2014: Development of semantic objects. 2015: Discovery of the ontological structure of subliminal communication.
In Mathematics – 1996: Development of the conceptual basis of interdependent, dependent and independent variables. 2014: Development of the mathematical foundations of reality indicators.
In Philosophy – 1994: Development of the unicist ontology integrating philosophy, science and action in a unified field. 1997: Refutation of Hegel’s and Marx’s dialectics and the formulation of the laws of the double dialectics.
In History – 2000: Development of a historical analysis methodology based on the unicist double dialectics.
In Cognitive Science – 2001: Development of a methodology to construct knowledge with existing information through an integrative logic. 2002: Development of the unicist reflection methodology to deal with the nature of reality. 2006: Discovery of the object driven organization of mental processes and the development of cognitive objects. 2008: Development of the ontological algorithms of fundamental analysis. 2013: Development of the unicist ontology of erudition and wisdom (observers vs. participants). 2014: Discovery of the structure of the emulation of reality. 2015: Discovery of the unicist ontology of conceptualization. 2018: Discovery of the triadic functionality of conscious intelligence. 2018: Development of the Unicist Artificial Intelligence.
In Education – 1979: Discovery of the ontogenetic algorithms of learning which has given scientific sustainability, amongst others, to Piaget. 2014: Discovery and development of learning objects. 2015: Development of Reflection Driven Education. 2016: Discovery of the nature of learning by teaching.
In Psychology – 1984: Discovery of human ontointelligence to deal with adaptive systems. 2003: Discovery of the unicist ontological structure of fallacies, the functionality of anti-intelligence and anti-intuition. 2004: Discovery of the double dialectical thinking process. 2005: Discovery of the unicist ontology and evolution laws of human essential complexes. 2011: Discovery of the unicist ontology of conscious behavior. 2012: Discovery of the unicist ontology of complementation of thinking processes. 2012: Discovery of the unicist ontology of psychopathy. 2014: Discovery of the structure of subliminal decision-making. 2014: Synthesis of Conceptual Psychology. 2015: Functionality of concepts as behavioral objects. 2016: Discovery of the nature of human metamorphosis. 2016: Discovery of the functionality of thinking processes. 2017: Discovery of the context of personal dysfunctional utopias. 2017: Discovery of the nature of self-criticism.
In Semiology – 2012: Discovery of the unicist ontology of semiosis as a complex adaptive system. 2015: Development of semiotic role objects. 2017: Development of the semiotic research groups.
NOTE: The Unicist Research Institute has been, since 1976, the pioneer in complexity science research to deal with adaptive entities and became a private global decentralized leading research organization in the field of adaptive systems and environments. It was one of the precursors of the Industry 4.0 concept.