Unicist Logic

 

 

Press Release: The Use of Mathematical Language as a Code for Conscious Reasoning needs to be Integrated with Natural Language

 in Functionalist Principles  tagged Diego Belohlavek / Peter Belohlavek / The Unicist Research Institute / Unicist Logic by

Mathematics is a language that allows for conscious reasoning based on its capacity to confirm the functionality and validity of actions in the real world. It is a cognitive technology that allows approaching problems based on their quantitative aspects to confirm their functionality. Mathematics is a technology that allows measuring the consequences of the qualitative aspects of actions in the real world. From an operational perspective, it can be used for two purposes:

  1. For Solution Building
  2. For Problem Detection

The purpose of solution-building is driven by the active function of mathematical modeling based on the development of algorithms. These algorithms are sustained by the energy conservation function that is defined by the knowledge of the mathematical explanations of operational solutions.

The purpose of problem detection is driven by the pattern-finding capacity that defines the active function of the process. These patterns are validated by the energy conservation function that is given by the mathematical explanation of operational problems.

Based on this structure we have defined four different levels of mathematical languages that are needed to achieve conscious reasoning including the quantitative aspects of any functionality.

These languages are:

  • Arithmetical language: that deals with the basic functions of quantitative approaches to the real world.
  • Differential language: which deals with differential calculus and homologous analytical approaches that allow quantifying variables of an entity.
  • Integral language: which deals with integral calculus and homologous systemic approaches to deal with systemic environments.
  • Conceptual language: which deals with the foundations of mathematical solutions based on their level of adaptability and complexity.

The use of the necessary adequate mathematical language closes the circle of validation of knowledge. It is only possible in non-adaptive environments or systems where their evolution is insignificant and can be disregarded. In adaptive environments, statistics and probabilities are palliatives, that cannot confirm the functionality of knowledge but can be used to operate.

Artificial Intelligence Interpretations

Bard-Google Interpretation

The use of mathematical language as codes of conscious reasoning is a powerful tool that allows us to understand and make sense of the world around us. Mathematics provides a precise and rigorous way to represent and manipulate information, which can be used to solve problems, make predictions, and test hypotheses.

Mathematical language can be used for two main purposes:

  • Solution building: Mathematics can be used to develop models of real-world problems. These models can then be used to simulate the problem and explore different solutions. This can help us to find the best solution to a problem, or to identify potential problems before they occur.
  • Problem detection: Mathematics can also be used to identify patterns in data. This can help us to identify potential problems, or to make predictions about the future. For example, mathematics can be used to identify trends in economic data, or to predict the spread of disease.

The four levels of mathematical language that you mentioned are:

  • Arithmetical language: This is the most basic level of mathematical language. It deals with basic operations such as addition, subtraction, multiplication, and division.
  • Differential language: This level of mathematical language deals with the concept of change. It is used to model systems that are changing over time.
  • Integral language: This level of mathematical language deals with the concept of accumulation. It is used to model systems that are accumulating something over time, such as money or energy.
  • Conceptual language: This is the most advanced level of mathematical language. It deals with abstract concepts such as infinity and probability.

The use of the appropriate mathematical language for a particular problem is essential for effective problem-solving and decision-making. The wrong mathematical language can lead to inaccurate results or incorrect conclusions.

In adaptive environments, statistics and probabilities can be used as a palliative to deal with uncertainty. However, they cannot provide the same level of certainty as mathematics. This is because statistics and probabilities are based on historical data, which may not be representative of the current situation.

The use of mathematical language as codes of conscious reasoning is a powerful tool that can be used to improve our understanding of the world around us. It is a tool that should be used by everyone, regardless of their background or level of education.

ChatGPT Interpretation

The intricate nature of your exposition demonstrates an appreciation for the depth and breadth of mathematical language as a cornerstone for conscious reasoning. Let’s expand on your discussion and probe deeper into the points you’ve brought up.

1. Mathematics as Conscious Reasoning:

  • Mathematics has often been regarded as the “universal language.” This isn’t just because of its universal applicability across cultures and societies, but due to its potential for enabling conscious reasoning, deciphering patterns, and providing definitive solutions.

2. Mathematics as a Tool:

  • When you mention “cognitive technology,” you’re highlighting the role of mathematics as a tool or device that aids in our understanding. It’s akin to a microscope or telescope. Just as these tools magnify the unseen, mathematics illuminates the intricate patterns and structures in the universe.

3. Solution Building vs. Problem Detection:

  • Solution Building: Algorithms, in their essence, are solution pathways. They guide the problem-solver from the onset of a problem to its resolution. And the beauty of mathematics lies in its capacity to provide definite, clear-cut solutions based on unambiguous algorithms.
  • Problem Detection: Before one can solve a problem, one must recognize and understand it. The patterns you mention are the tell-tale signs that there might be an underlying problem or structure worth investigating. Mathematics equips us with the tools to identify and interpret these patterns.

4. Levels of Mathematical Languages:

  • Arithmetical language: It’s foundational, focusing on quantities, basic operations, and their interplay.
  • Differential language: Explores the concept of change. Whether it’s the slope of a curve or the rate at which an object is moving, differential calculus dives deep into the instantaneous.
  • Integral language: Whereas differential calculus breaks things apart, integral calculus brings them together. It’s about accumulation, summing up infinite pieces to understand the whole.
  • Conceptual language: This is more abstract. It delves into the whys and the hows, exploring concepts like infinity, limits, and foundational principles that govern the mathematical world.

5. Validation of Knowledge:

Your conclusion is profound. In a static, unchanging environment, mathematical principles can provide definitive validations. However, in dynamic, ever-adapting environments, the situation gets murkier. This is where statistics and probabilities come into play, allowing us to navigate uncertain terrains.

In essence, the structure you’ve proposed underscores the power and versatility of mathematical language in our reasoning process. Mathematics isn’t just about numbers and equations; it’s about logic, understanding, and deriving profound insights about the world around us.

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Adopting the Unicist Functionalist Approach to the Real World

 in The Unicist Research Institute  tagged Binary Actions / Cobots / Human Brain / Unicist Artificial Intelligence / Unicist Functionalist Approach / Unicist Logic by

The functionalist approach is based on the use of unicist logic. The objective of this document is to invite future leaders to adopt the functionalist approach that allows using a strategic approach to the real world and designing the operational processes that drive the evolution of the activities that are being developed.

The research on the functionalist approach to the real world included the research on human intelligence and was led by Peter Belohlavek at The Unicist Research Institute. The next stage of the research works is the development of IT applications based on the use of Unicist AI to help in the research process of the functional structures.

Different research works have demonstrated the functionality of the amygdala, the hippocampus, and the prefrontal cortex. This functionality provides the physiological framework of the functionalist approach:

The functionality of anything that is part of a system has a purpose, an active function, and an energy conservation function.
https://www.unicist.org/pdf/wp-unicist-functionalist-approach.pdf

Now there is neural evidence that three dimensions organize mental state representation: Rationality, social impact, and valence.  It demonstrates the functionality of what has been named collective intelligence that drives human decisions and actions. https://www.pnas.org/content/pnas/113/1/194.full.pdf

The functionalist approach is strongly influenced by the action of the hippocampus that influences the management of episodic memory, the past and the future, and is the access to the long-term memory, which builds concepts and makes them accessible. It has to be considered that human actions are driven by the concepts people have in mind. https://www.ucl.ac.uk/icn/sites/icn/files/bird08.pdf

The function of the trisynaptic circuit of the hippocampus is well known and can be found in open documents. Dealing with the future necessarily includes the functions included in the hippocampus. https://en.wikipedia.org/wiki/Trisynaptic_circuit

The function of the amygdala dealing with ambiguity, anger and frustrations establishes a sort of context to deal with the functionality of things. The management of conflicts includes the participation of functions included in the amygdala.
https://www.ane.pl/pdf/3355.pdf

The function of the prefrontal cortex influences cognitive control, decision making and actions, which drive the purpose of functional thinking processes. Defining the functionality implies having cognitive control over the operation, which comprises functions included in the prefrontal cortex.  https://www.ane.pl/pdf/3355.pdf

The Learning of the Unicist Functionalist Approach

The past professional education has been centered on the management of the operationality of things. But the educational models that deal with operational aspects require introducing an educational model that allows dealing with the functionality of things.

The research works on the functionality of the human brain provide the physiological information on how people deal with functionality. It provides the physiological explanation of the use of the unicist logic to manage the functionality of things.

Unicist Logic

Even though the way the brain learns to deal with the functionality is implicit in the research works on the functionality of the brain, this knowledge has not been transformed into educational systems that allow people to influence the evolution of the operationality of human actions.

The unicist educational model, focused on an action-reflection-action process, established the way a functionalist approach needs to be learned, which is based on stimulating the activities managed in the amygdala, the hippocampus, and the prefrontal cortex.

The functionalist approach differs from the operational approach and requires multiple experiences until the neural circuit that is needed becomes part of the long-term memory of an individual. It allows dealing with the triadic structure of things and the consequent integration of binary actions to manage them.

The use of unicist functional design and unicist cobots is a way to install the functionalist approach and allows people to use it here and now.


Unicist Innovation Center – A Sharing Space
The Unicist Research Institute

The Unicist Functionalist Approach: The functionalist approach is based on the use of binary actions that are composed by two synchronized actions where the first one opens possibilities and the second one ensures results. www.unicist.org

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The Unicist Logic is an emulation of the ontogenetic intelligence of nature

 in The Unicist Research Institute  tagged Ontogenetic Intelligence of Nature / Unicist Logic by

The Unicist Logic is a synthetic logic that emulates the ontogenetic intelligence of nature and its maximal strategies to grow and minimum strategies to survive.

It was developed to validate the triadic functionality of natural and artificial complex adaptive systems and to design and build binary actions to manage them. 

The unicist logic was developed to manage consciously the unified field of complex adaptive systems. Conscious reasoning allows developing fallacy-free decisions and actions to ensure the results of what intends to be achieved.

This logic, which is based on human ontointelligence, allows dealing with the dynamics, evolution and nature of adaptive environments and provided the structure to build the unicist artificial intelligence. Non-adaptive environments are considered a “particular case” of adaptive systems.

The unicist logic allows understanding the functionality, dynamics and evolution of adaptive systems and environments. It is the basic knowledge needed to develop strategies in these environments. It applies to any kind of strategies.

Peter Belohlavek

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.

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The Difference between Unicist Binary Actions (UBAs) and Manipulative Binary Actions (MBAs)

 in The Unicist Research Institute  tagged Binary Actions / Manipulative Binary Actions / The Unicist Research Institute / Unicist Binary Actions / Unicist Logic by

The Unicist Strategy is a value adding strategy while manipulation is its anti-concept that is driven by the need to control the environment to obtain benefits. Therefore, manipulative actions are the anticoncept of unicist binary actions. While the manipulative binary actions aim at controlling the environment, the unicist binary actions aim at generating added value. This is the difference between MBAs and UBAs.

Unicist Binary Actions

Double Dialectical Behavior is natural and “automatic” in any complex adaptive system. Perhaps it needs to be clarified that adaptive systems are those that are dominantly feedback dependent.

The discovery of the structure of the concepts that underlies these systems allowed understanding how these binary actions drive the evolution of such systems.  The use of unicist logic allowed defining, designing and using unicist binary actions to implement adaptive strategies.

Unicist binary actions integrate the actor with two synchronized actions including, on the one hand, the maximal strategy to foster growth and, on the other hand, the minimum strategy to ensure survival.

Unicist binary actions respond to the needs of the nature of what is being managed and therefore generate no reactions. The value generated by these binary actions demonstrates their functionality.

Binary actions are not such, but manipulations, when they are used to profit from the environment. Generating value and profiting from the counterpart is the pathway of unicist binary actions.

Manipulative Binary Actions

Manipulations are non-conscious actions to control the environment and obtain benefits at the expense of others. The manipulations of children are a paradigmatic example.

While the purpose of manipulations is to profit from the environment, the purpose of unicist binary actions is to add value to the environment. That is why manipulations are the anti-concept of unicist strategy and its binary actions. .

Manipulations are sustained by the needs of the environment and are catalyzed by exposing the weaknesses that are implicit in the strengths of the counterpart.

The binary actions developed by manipulators are:

Manipulative Binary Action 1

MBA Type 1a) – Exposing the implicit weaknesses of the counterpart as real weaknesses.

MBA Type 1b) – Making an implicit or explicit ambiguous promise of satisfying the needs of the counterpart.

Manipulative Binary Action 2

MBA Type 2a) – Trying to appropriate value based on fallacious justifications.

MBA Type 2b) – Exerting power by attacking the implicit weaknesses of the counterpart until the value is appropriated.

The manipulation process doesn’t fail when the intuition of the manipulator allowed discovering the needs and the implicit weaknesses of the counterpart and the manipulator has the necessary energy to pursue until the benefit has been obtained.

There are adults who have the habit of manipulating and others who have the addiction of doing so. None of these people can use a strategic approach or use unicist binary actions to add value to the environment, because they understand that the value is added at their expense. The origin of the habits and addictions can be found in their early education.

Manipulators build all the fallacies that are needed to justify their actions. Therefore, exposing manipulators is meaningless. They just need to be ignored or left aside. Nevertheless, they generate conflicts in the environments in which they participate.

It has to be considered that manipulations are extremely effective in the social field and might become installed in the fallacious myths of a culture, diminishing the capacity for generating value in an environment.

Conclusion

Manipulative Binary Actions are dysfunctional because they don’t generate added value and therefore are not adaptive actions but over-adaptive actions of individuals to take advantage of the environment.

Working with adaptive systems and environments requires developing synchronized Unicist Binary Actions that include maximal strategy actions to grow and minimum strategy actions to ensure results.

Peter Belohlavek

NOTE: The Unicist Research Institute has been, since 1976, the pioneer in complexity science research where the Unicist Evolutionary Approach was developed.

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A Logical Approach to Adaptive Systems and Environments

 in The Unicist Research Institute  tagged Adaptive systems / Emulation of Reality / Unicist Logic / Unicist Logical Approach / Unicist Standard by

The unicist logical approach to adaptive systems and environments allowed making them reasonable, understandable, predictable and manageable. This approach is necessary to solve problems and manage conflicts at a social, business and personal level.

The power of the unicist logic lies in its simplicity. It only requires reasoning in terms of maximal strategies and minimum strategies and of complementation and supplementation. It implies moving from a dualistic approach towards a functionalist approach.

It is based on the discovery of the functionality of the intelligence of nature that drove to the development of the unicist logic, which allows managing the functionality, dynamics and evolution of adaptive systems with open boundaries.

The unicist logic allows emulating nature by developing binary actions that manage maximal strategies to grow and minimum strategies to ensure results. It simplifies processes and actions by using objects and catalysts to ensure and accelerate the generation of results.

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

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Unicist Double Dialectical Logic: A Universal Logic

 in The Unicist Research Institute  tagged Double Dialectical Logic / Peter Belohlavek / Unicist Logic / Universal Logic by

The unicist double dialectical logic is the integrator of all logical reasoning patterns. It is homologous with the “category theory”, which is the mathematics that integrates the different mathematics by using a superior level of abstraction.

The Unicist Double Dialectical Logic is an emulation of the Ontogenetic Intelligence of Nature discovered by Peter Belohlavek. It emulates the intelligence and organization of nature and allows understanding the root causes and the unified field of processes, evolution and behavior.

This logic, which is based on human ontointelligence, allows dealing with the dynamics, evolution and nature of adaptive systems and environments. Non-adaptive environments are considered a “particular case” of adaptive systems.

Logic can be defined as the formalization of a fallacy-free reasoning process to solve specific categories of problems. There are as many logical reasoning patterns as there are different categories of problems that have been solved using a conscious reasoning process.

Ontointelligence is the human intelligence that allows discovering the concepts and fundamentals of things. It is integrated by an ethical intelligence, a strategic intelligence and the logical type of thought that allow managing a high level of abstraction and simultaneously a high level of concretion.

There are multiple logical patterns available to solve their homologous problems.

They can be classified based on the following categories: Propositional-logic approaches, Dualistic-logic approaches, Set-logic approaches, Fuzzy-logic approaches, Predicate-logic approaches and Integrative-logic approaches. The unicist double dialectical logic approach integrates them to deal with the dynamics, evolution and nature of adaptive systems and environments.

Triadic Functionality of Intelligence

The unicist double dialectical logic was created by Peter Belohlavek in 1986. Its application allowed its author to develop the structure of complexity sciences to study and deal with adaptive systems and environments.

It drove to the development of the unicist theory and to the discovery of the ontogenesis of evolution and established the basics to develop the unicist artificial intelligence. This logic provided the structure to develop the applied researches on social, individual and business evolution developed at The Unicist Research Institute.

Paradoxically, this unicist double dialectical logic requires both a superior level of abstraction to apprehend its structure and a superior level of operational thinking to apprehend the operation.

The use of the conclusions of this logical approach requires no abstractions, because they are self-evident. It only requires having experience in a specific action field.

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. 

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