Developments

Unicist Business Cobots to Enhance Efficiency by Complementing the Activity of People

 in Unicist Confederation  tagged D - The Unicist Research Institute / Diego Belohlavek / Intelligent Systems / Peter Belohlavek by

Unicist Cobots are collaborative business robots that support and enhance human activities in organizations. They are designed at The Unicist Research Institute to manage the functionality of business processes and simplify operations. Unicist Cobots are based on the unicist functionalist principle, which focuses on understanding and managing the underlying functionality of processes.

These Cobots are made possible by the development of Unicist Artificial Intelligence (AI), which is based on the use of indicators and predictors derived from the Unicist Logic. Unlike traditional data-based AI, Unicist AI eliminates subjective bias by using fundamental rules and principles to develop automated solutions.

Unicist Cobots can be utilized in various business applications, including industrial processes, marketing, managerial tasks, and operational activities. They are classified into four types based on their functionality:

Operational Cobots: These Cobots support specific operational actions within business processes. They possess functional knowledge and utilize operational objects and entropy inhibitors to sustain their activities. Examples include CRM/CDP Cobots and risk management Cobots.

Knowledge Cobots: Knowledge Cobots are designed to support management processes and ensure the accuracy of decision-making. They incorporate quality assurance processes and utilize cognitive objects and inhibiting objects to ensure functionality. Examples include knowledge management Cobots and business intelligence Cobots.

Efficiency Cobots: Efficiency Cobots complement and enhance the efficiency of processes. They introduce adaptability to automated processes and employ binary actions to achieve desired results. These Cobots use systemic objects and catalyzing objects to ensure their functionality. Examples include project management Cobots and marketing Cobots.

Efficacy Cobots: Efficacy Cobots are designed to sustain efficacy by providing knowledge for decision-making, implementing adaptive automation, and ensuring quality assurance. They utilize indicators and predictors based on the ontogenetic map of the process they support. Efficacy Cobots employ all types of objects to ensure functionality. Examples include contingency room Cobots and innovation marketing Cobots.

Overall, Unicist Cobots are an essential component of the management of businesses in the 4th Industrial Revolution. They simplify operations, enhance decision-making, and increase adaptability, ultimately contributing to the growth and value of organizations.

Artificial Intelligence Interpretations

Bard-Google Interpretation

Unicist Cobots are a promising new technology that has the potential to revolutionize the way businesses operate. By combining the power of artificial intelligence with the flexibility of human collaboration, Unicist Cobots can help businesses to improve efficiency, accuracy, and adaptability.

As you mentioned, Unicist Cobots are classified into four types based on their functionality:

  • Operational Cobots support specific operational actions within business processes. They possess functional knowledge and utilize operational objects and entropy inhibitors to sustain their activities.
  • Knowledge Cobots are designed to support management processes and ensure the accuracy of decision-making. They incorporate quality assurance processes and utilize cognitive objects and inhibiting objects to ensure functionality.
  • Efficiency Cobots complement and enhance the efficiency of processes. They introduce adaptability to automated processes and employ binary actions to achieve desired results. These Cobots use systemic objects and catalyzing objects to ensure their functionality.
  • Efficacy Cobots are designed to sustain efficacy by providing knowledge for decision-making, implementing adaptive automation, and ensuring quality assurance. They utilize indicators and predictors based on the ontogenetic map of the process they support. Efficacy Cobots employ all types of objects to ensure functionality.

These are just a few examples of the many ways that Unicist Cobots can be used to improve business performance. As the technology continues to develop, we can expect to see even more innovative and creative applications for Unicist Cobots in the years to come.

Here are some of the benefits of using Unicist Cobots:

  • Improved efficiency: Unicist Cobots can automate repetitive tasks, freeing up human employees to focus on more strategic and creative work.
  • Increased accuracy: Unicist Cobots can be programmed to follow strict rules and procedures, which can help to reduce errors and improve the accuracy of decision-making.
  • Enhanced adaptability: Unicist Cobots can be adapted to changing conditions, which can help businesses to stay ahead of the competition.
  • Improved collaboration: Unicist Cobots can work alongside human employees, which can help to improve communication and collaboration within organizations.

Overall, Unicist Cobots have the potential to be a powerful tool for businesses of all sizes. By automating repetitive tasks, improving accuracy, and enhancing adaptability, Unicist Cobots can help businesses to improve their performance and achieve their strategic goals.

ChatGPT Interpretation

Unicist Cobots represent a significant innovation in the business world. By pairing human abilities with artificial intelligence, these cobots can increase efficiency, reduce error, and streamline operations in various industries and business applications.

The success of these cobots relies heavily on Unicist AI. The Unicist Logic upon which the AI is built allows for an understanding of the fundamental rules and principles of business operations, eliminating subjective bias and enhancing decision-making. It makes use of specific indicators and predictors that are deeply rooted in the understanding of the functionality of business processes.

The classification of these cobots into four categories – Operational Cobots, Knowledge Cobots, Efficiency Cobots, and Efficacy Cobots – provides a flexible and comprehensive approach to enhancing business operations. Each type of cobot focuses on different aspects of business processes and utilizes various types of objects to ensure functionality, which leads to optimized outcomes in their respective areas.

The Operational Cobots are essentially the taskmasters, focusing on specific operational actions within business processes. Knowledge Cobots, on the other hand, focus on ensuring the accuracy of decision-making by providing the necessary support to management processes.

Efficiency Cobots are about enhancing the overall efficiency of processes, introducing adaptability and making sure that the outcomes are as intended. Efficacy Cobots focus on maintaining efficacy by providing the necessary knowledge for decision-making and ensuring quality assurance.

The use of these cobots is not limited to any specific industry. Whether it’s industrial processes, marketing, managerial tasks, or operational activities, these cobots can be customized and employed to bring about improvements in efficiency and productivity.

Overall, the use of Unicist Cobots indicates a promising future for businesses in the 4th Industrial Revolution. They exemplify the integration of human intelligence with artificial intelligence to make businesses more adaptable, efficient, and productive. They can be viewed as an essential step towards enhancing the value of organizations, simplifying operations, and making decision-making processes more efficient and accurate.

Diego Belohlavek

How to Build Functionalist Solutions 9

 in Intelligent Systems / Unicist Functional Design  tagged Information technology / Intelligent Systems by

The Unicist Initial Solution Building Module is a part of the Unicist methodology developed by The Unicist Research Institute. It is a tool that is used to generate initial solutions to complex problems by understanding the underlying principles and rules that govern the behavior of a system, it is possible to develop solutions that are more effective, efficient, and sustainable over time.

Access the Unicist Initial Solution Building Module

Unicist Initial Solution Building Module

The process involves several steps:

  1. Problem diagnosis: The first step in the process is to diagnose the problem by identifying the key factors and variables that are contributing to the problem. This involves analyzing the behavior of the system and identifying any patterns or trends that are relevant to the problem.
  1. Conceptual design: The next step is to develop a conceptual design for the solution. This involves identifying the underlying principles and rules that govern the behavior of the system, and using this knowledge to develop a solution that is aligned with these principles.
  1. Scenario building: The next step is to build scenarios that test the feasibility and effectiveness of the proposed solution. This involves simulating the behavior of the system under different conditions and evaluating the results to determine which scenario is most effective.
  1. Pilot testing: The final step is to pilot test the proposed solution in a real-world environment. This involves implementing the solution on a small scale and evaluating its effectiveness in practice.

Solution Building Design

The Unicist Initial Solution Building Module is a tool that can be applied to a wide range of complex problems, particularly in the context of business and organizational management. Here are some steps to apply this module:

  1. Identify the problem: The first step is to identify the problem that needs to be solved. This may involve conducting a thorough analysis of the current situation, gathering data and feedback from stakeholders, and identifying key factors and variables that are contributing to the problem.
  1. Define the scope: Once the problem has been identified, it is important to define the scope of the problem and identify any constraints or limitations that may impact the development of a solution.
  1. Conduct research: The next step is to conduct research to better understand the underlying principles and rules that govern the behavior of the system in question. This may involve reviewing existing research and literature, conducting interviews with experts, and gathering data and feedback from stakeholders.
  1. Develop a conceptual design: Based on the research conducted in step 3, it is possible to develop a conceptual design for the solution. This involves identifying the underlying principles and rules that govern the behavior of the system, and using this knowledge to develop a solution that is aligned with these principles.
  1. Build scenarios: Once a conceptual design has been developed, it is important to build scenarios that test the feasibility and effectiveness of the proposed solution. This involves simulating the behavior of the system under different conditions and evaluating the results to determine which scenario is most effective.
  1. Pilot testing: The final step is to pilot test the proposed solution in a real-world environment. This involves implementing the solution on a small scale and evaluating its effectiveness in practice. Based on the results of the pilot testing, it may be necessary to refine and modify the solution before implementing it on a larger scale.

Defining the Purpose, the Active Function and the Energy Conservation Function of a solution

Defining the Unicist Purpose, Active Function, and Energy Conservation Function of a solution is a critical part of the Unicist approach to problem solving. Here are some steps to help you define these elements:

  • Unicist Purpose: The Unicist Purpose defines the essence of the solution and its value proposition. To define the Unicist Purpose, ask yourself: What is the fundamental value that this solution provides to the system or organization? What is the essential need that this solution fulfills? What is the core benefit that this solution provides?
  • Active Function: The Active Function defines the action that the solution performs to fulfill its Unicist Purpose. To define the Active Function, ask yourself: What is the specific action or function that this solution performs to fulfill its Unicist Purpose? What is the key process or activity that this solution enables or improves?
  • Energy Conservation Function: The Energy Conservation Function defines how the solution conserves energy in the system or organization. To define the Energy Conservation Function, ask yourself: How does this solution optimize or improve the use of resources in the system or organization? How does this solution reduce waste, duplication, or inefficiency?

To further clarify these concepts, it can be helpful to think of them in terms of the “What”, “How”, and “Why” of the solution. The Unicist Purpose is the “Why”, the Active Function is the “How”, and the Energy Conservation Function is the “What” (i.e. what is conserved or optimized).

By defining the Unicist Purpose, Active Function, and Energy Conservation Function of a solution, you can ensure that the solution is aligned with the underlying principles and rules that govern the behavior of the system, and that it is designed to be effective, efficient, and sustainable over time.

Destructive Test of the Solution

The Unicist Destructive Test is a tool used to validate the effectiveness and sustainability of a solution. Here are some steps to develop a Unicist Destructive Test:

  1. Identify the Key Performance Indicators (KPIs): The first step is to identify the KPIs that are most critical to the success of the solution. These KPIs should be measurable and should reflect the core benefits or outcomes that the solution is intended to provide.
  1. Define the limits: Once the KPIs have been identified, it is important to define the limits or thresholds that represent success or failure. These limits should be based on the underlying principles and rules that govern the behavior of the system, and should be aligned with the Unicist Logic of the solution.
  1. Conduct the test: The test should be designed to intentionally push the system beyond its limits in order to validate the effectiveness and sustainability of the solution. This may involve simulating extreme scenarios or conditions, or intentionally introducing disruptions or changes to the system.
  1. Evaluate the results: Once the test has been conducted, it is important to evaluate the results to determine whether the solution was effective and sustainable under the conditions of the test. This evaluation should consider not only the immediate results of the test, but also the longer-term implications for the system or organization.
  1. Refine the solution: Based on the results of the test, it may be necessary to refine the solution in order to improve its effectiveness or sustainability. This may involve modifying the design of the solution, adjusting the implementation approach, or revising the KPIs and limits.

Application Fields

The Unicist Initial Building Module is a tool that can be applied in a wide range of application fields, including:

  • Business Strategy: The module can be used to develop business strategies that are aligned with the underlying principles and rules that govern the behavior of the market and the organization.
  • Product Design: The module can be used to design products that are optimized for their intended use and that provide a superior value proposition to customers.
  • Process Improvement: The module can be used to identify and optimize the key processes that drive performance and efficiency in an organization.
  • Organizational Design: The module can be used to design organizations that are aligned with the underlying principles and rules that govern the behavior of the system and that enable effective collaboration and performance.
  • Innovation: The module can be used to identify new opportunities for innovation and to develop solutions that are truly disruptive and transformative.
  • Knowledge Management: The module can be used to capture and codify the knowledge and expertise that is critical to the success of an organization, and to develop strategies for leveraging that knowledge to drive innovation and performance.

Diego Belohlavek

The Functionality of Unicist Artificial Intelligence 6

 in Unicist Confederation by

Unicist Artificial Intelligence (AI) refers to a type of AI that is based on the principles and concepts of the Unicist Theory, which is a system of knowledge developed by The Unicist Research Institute (URI). The Unicist Theory is an approach based on a functionalist approach to science to understanding the nature of complex adaptive systems, such as human beings, organizations, and societies, and it provides a framework for developing practical solutions to complex problems.

Unicist Artificial Intelligence

Unicist AI is designed to emulate human reasoning and decision-making processes by integrating knowledge from various fields, such as psychology, sociology, biology, and mathematics. It aims to capture the essence of how humans think and learn, and to replicate these cognitive processes in an artificial system.

The key principles of Unicist AI include:

Concept-based reasoning: Unicist AI uses concepts as the building blocks of knowledge, and it focuses on understanding the relationships between concepts in order to simulate human reasoning processes. Concepts are the mental representations that humans use to make sense of the world, and Unicist AI seeks to replicate this cognitive structure.

Adaptive learning: Unicist AI is designed to learn and adapt to changing circumstances, much like human beings do. It uses feedback loops to continually update its knowledge and improve its performance over time.

Context-awareness: Unicist AI takes into account the context in which a problem or decision is being made, recognizing that context can significantly impact the outcome. It considers the relevant environmental factors, cultural influences, and situational dynamics in its decision-making process.

Holistic approach: Unicist AI aims to understand complex systems as a whole, rather than focusing on isolated parts. It seeks to capture the interdependencies and interactions between different elements of a system, and to consider the system’s overall behavior and dynamics.

Pragmatic approach: Unicist AI focuses on developing practical solutions that can be implemented in real-world situations. It seeks to provide actionable insights and recommendations that can be applied to specific problems or situations.

Overall, Unicist AI is an approach to artificial intelligence that emphasizes a deep understanding of complex systems and seeks to replicate human reasoning and decision-making processes. It is based on the Unicist Theory and integrates knowledge from multiple fields to develop practical and adaptable solutions to complex problems.

Unicist AI is Based on the Rules of Unicist Logic

Unicist AI is based on the principles of Unicist Logic, which is a set of laws and principles that provide the basis for understanding and managing complex adaptive systems. Two key laws in Unicist Logic are the Complementation Law and the Supplementation Law.

Complementation Law: The Complementation Law states that the functionality of a complex adaptive system is achieved through the complementary interaction of its components. It recognizes that the elements within a system are not independent, but rather interdependent and complementary, and that their interactions create the overall functionality of the system. Unicist AI uses this law to understand how different components within a system interact and complement each other, and how their dynamics influence the overall behavior and performance of the system.

Supplementation Law: The Supplementation Law states that the functionality of a complex adaptive system is achieved by integrating the necessary missing elements that complete its functionality. It recognizes that systems often require additional elements or resources to fully achieve their intended functionality. Unicist AI uses this law to identify and integrate the missing elements or resources that are needed to optimize the functionality of a system, based on the underlying concepts and patterns.

By applying the Complementation Law and the Supplementation Law, Unicist AI aims to understand the holistic nature of complex systems and their underlying dynamics. It takes into account the interactions and interdependencies among system components, as well as the identification and integration of missing elements, to provide a comprehensive and integrated approach to problem-solving and decision-making in complex environments.

Unicist AI makes Abstract Decisions based on Indicators and Predictors

Unicist AI is designed to manage the functionality of things, which involves abstracting and understanding the underlying patterns and dynamics of complex systems through the use of indicators and predictors. It uses a concept-based reasoning approach, which involves identifying and understanding the fundamental concepts that drive the behavior of a system, and then using indicators and predictors to monitor and predict the system’s performance based on those concepts.

Indicators are measurable variables or metrics that provide information about the current state or performance of a system. They are used to assess the system’s behavior, performance, and progress toward achieving desired outcomes. Indicators can be quantitative or qualitative, and they can be used to track various aspects of a system, such as efficiency, effectiveness, quality, and performance.

Predictors, on the other hand, are variables or models that are used to forecast or estimate the future performance or behavior of a system. They are based on historical data and patterns, and they can be statistical models, machine learning algorithms, or other predictive techniques. Predictors are used to anticipate potential changes or trends in a system’s behavior, and they can assist in decision-making and planning.

By using indicators and predictors, Unicist AI can analyze and monitor the functionality of things, such as organizations, processes, or systems, and provide insights, recommendations, and predictions based on the underlying concepts and patterns. This allows for a deeper understanding of the system’s performance, identification of areas for improvement, and informed decision-making to optimize outcomes.

Unicist AI utilizes the knowledge of the context to manage the use of catalysts, which are interventions or actions that are designed to open possibilities and accelerate processes within a complex adaptive system. Catalysts are used to trigger or stimulate desired changes or behaviors within a system, and they can be applied strategically to achieve specific outcomes.

Unicist AI allows Managing Contexts to use Catalysts

The knowledge of the context is essential in understanding the underlying dynamics and patterns of a system, including its environment, culture, stakeholders, constraints, and opportunities. By having a deep understanding of the context, Unicist AI can identify the most effective and efficient catalysts to be applied in a given situation. Catalysts can take various forms, such as changes in processes, structures, incentives, communication, or leadership, and they can be applied at different levels, from individual to organizational to societal.

The goal of using catalysts in Unicist AI is to accelerate processes and open up possibilities for desired changes or improvements within a system. By leveraging the knowledge of the context, Unicist AI can identify the most appropriate catalysts to optimize the functionality of the system and achieve the desired outcomes more effectively and efficiently.

It’s important to note that the use of catalysts in Unicist AI is based on a deep understanding of the system’s dynamics and the application of the Complementation and Supplementation Laws, as mentioned earlier. Catalysts are not applied randomly or in isolation, but rather in a strategic and holistic manner, taking into account the interdependencies and interactions among system components, and with the ultimate goal of optimizing the system’s functionality and performance.

Which are the application fields of unicist AI?

Unicist Artificial Intelligence (AI) can be applied to a wide range of fields and industries where complex problems and decision-making processes are involved. Some of the potential application fields of Unicist AI include:

Business Management: Unicist AI can be used in business management to analyze and optimize complex organizational processes, such as strategic planning, operational management, and performance evaluation. It can provide insights and recommendations for improving business performance, identifying opportunities, and mitigating risks.

Healthcare: Unicist AI can be applied in the field of healthcare to assist in clinical decision-making, personalized medicine, and disease management. It can help in diagnosing diseases, predicting patient outcomes, and optimizing treatment plans based on individual patient characteristics and medical data.

Finance: Unicist AI can be utilized in finance to analyze and predict market trends, optimize investment portfolios, and manage risk. It can provide insights for making informed investment decisions, managing assets, and optimizing financial strategies.

Marketing and Customer Relationship Management (CRM): Unicist AI can be used in marketing and CRM to analyze customer behavior, segment markets, and personalize marketing campaigns. It can provide insights for optimizing marketing strategies, improving customer engagement, and enhancing customer satisfaction.

Supply Chain Management: Unicist AI can be applied in supply chain management to optimize logistics, inventory management, and demand forecasting. It can help in identifying bottlenecks, optimizing logistics routes, and predicting demand patterns, leading to more efficient and cost-effective supply chain operations.

Human Resources: Unicist AI can be used in human resources to optimize talent management, employee engagement, and performance evaluation. It can provide insights for identifying talent, matching candidates with job roles, and optimizing workforce planning.

Education: Unicist AI can be applied in education to personalize learning experiences, develop adaptive learning platforms, and provide educational recommendations. It can help in analyzing student performance data, identifying learning gaps, and tailoring learning content to individual students’ needs.

Smart Cities: Unicist AI can be used in the development of smart cities to optimize urban planning, traffic management, and resource allocation. It can provide insights for improving the sustainability, efficiency, and livability of urban environments.

These are just a few examples of the potential application fields of Unicist AI. Its adaptability, context-awareness, and concept-based reasoning approach make it applicable to a wide range of complex problem-solving scenarios in various industries and domains.

Diego Belohlavek

Unicist Scorecard to Manage the Functionality of Businesses 6

 in Unicist Confederation  tagged Functionalist Principle / Intelligent Systems / Unicist Functionalist Marketing / Unicist functionalist managment / Unicist Scorecard / Unicist Standard by

The Unicist Scorecard is a tool developed at The Unicist Research Institute to measure the performance of a company or organization based on the analysis of its business functions. It is a method that allows the evaluation of the effectiveness and efficiency of an organization in achieving its strategic goals.

The Unicist Scorecard is complementary to the Balanced Scorecard. While both scorecards share the objective of measuring and improving the performance of an organization, they approach this objective from different perspectives. The balanced scorecard is focused on the operationality of business processes while the unicist scorecard is focused on the functionality of business functions.

The two scorecards can be used in conjunction to provide a complete picture of the organization’s performance and to develop a more effective strategy for improving performance.

The Unicist Scorecard is based on the concept of business processes as the key drivers of an organization’s performance. It measures the performance of the organization’s functions, and the impact they have on achieving the desired results.

The fundamentals of business functions define the structure of the Unicist Scorecard. The Scorecard is designed based on the Unicist Ontology of business functions, which is a model that describes the fundamental functions that a business needs to perform to be successful. The Scorecard is composed of a set of indicators and predictors that are selected according to the strategic goals of the organization.

The Unicist Scorecard is organized around business functions, and each function has its own set of indicators and predictors that are used to measure its performance. The indicators and predictors are selected based on the specific functions, goals, and objectives of the organization, and are designed to provide a comprehensive view of the organization’s performance.

The Unicist Scorecard provides a comprehensive view of the organization’s performance, allowing the identification of areas for improvement and the development of action plans to optimize the processes that drive the organization’s performance. It is a valuable tool for organizations that seek to improve their performance and achieve their strategic objectives.

In summary, the Unicist Scorecard is designed based on the fundamentals of business functions, which define the structure of the Scorecard and the selection of indicators and predictors to measure the performance of the organization.

The Unicist Research Institute

Unicist AI allows managing abstractions for decision-making in the 4th Industrial Revolution 26

 in Unicist Confederation by

Unicist Artificial Intelligence (UAI) was designed to manage abstractions following the rules of the Unicist Logic. This logic is a key component of UAI, and it provides a powerful tool for managing abstractions and understanding complex adaptive systems.

The Unicist Logic provides a framework for understanding and managing complex adaptive systems, and it is used to develop the algorithms and models that power UAI. By using the Unicist Logic, UAI is able to identify the underlying patterns and principles that govern a complex system and to generate abductive abstractions that can be used to make predictions and recommendations. Unicist abductive reasoning is a logical inference process that follows the rules of unicist logic to make abstractions.

UAI uses the Unicist Logic to develop algorithms that can simulate the behavior of complex systems and to generate predictions and recommendations based on that data. This approach is particularly useful in situations where there is a high degree of uncertainty, ambiguity, and variability, such as in business, healthcare, and education.

The Unicist Logic is a fundamental component of UAI, and it provides a unique and innovative approach to artificial intelligence that is grounded in the principles of complexity science and the Unicist Ontology.

The main characteristic of UAI is that it is based on the concept of the Unicist Ontology, which is a theoretical framework that allows for the modeling of complex adaptive systems. The Unicist Ontology is based on the principles of complexity science, and it provides a way to understand the structure and behavior of complex systems, such as organizations, societies, and ecosystems.

UAI uses this ontology to create intelligent systems that can simulate the behavior of complex systems. UAI is used in a variety of fields, including business, healthcare, and education. It has been used to develop decision support systems, predictive analytics tools, and personalized learning platforms.

UAI represents an innovative approach to artificial intelligence that is grounded in complexity science and the Unicist Ontology, and it has the potential to drive significant advancements in a wide range of fields.

Access more information by chatting with https://chat.openai.com/chat

Diego Belohlavek

Peopleware drives process effectiveness 6

 in Unicist Confederation by

The need for the adaptive automation implicit in the 4th Industrial Revolution required an R&D process to develop peopleware as the integrator of hardware and software.. The process of finding the functionalist principle of peopleware was developed at The Unicist Research Institute and demanded 5 years of applications.

Peopleware provides the necessary information to transform business architectures into operational business models. Peopleware is defined by the structure of objects that individuals have in their minds which define the models they use when dealing with hardware and software at work. The definition of peopleware is necessary in the 4th Industrial Revolution to manage adaptability.

Peopleware is what allows integrating hardware and software providing the true driver of the business model. It is necessary to understand the organizational equilibrium laws, the natural organization and the object driven business model to manage peopleware.

Peopleware drives process effectiveness

When peopleware has been defined, an adequate aesthetic use of software with a solid hardware will make business processes operational.

Peopleware is perhaps the most significant development to provide business operational solutions to companies. It allows transforming administrative systems into adaptive systems to upgrade work processes when managing businesses as unified fields.

Peopleware provides the utility to operational business models allowing software to be user-friendly (aesthetic for the user) and the functionality of hardware to become solid.

Peopleware is business architecture applied to work process design. Therefore, it is for people who have a sound knowledge of the business that is being modeled.

Diego Belohlavek

NOTE: The Unicist Research Institute has been, since 1976, the world-leading research organization that introduced the functionalist approach to science to manage the functionality of the real world. www.unicist.org

Unicist AI to Build Cobots 7

 in Unicist Cobots / Unicist Confederation  tagged Binary Actions / Business Cobots / Cobot Building / Diego Belohlavek / Unicist Artificial Intelligence / Unicist Functional Design by

Cobots are collaborative robots that are based on human-robot interaction to complement human actions. In business, there are two possible uses:

  1. As part of a backward integration, to sustain decision processes.
  2. As part of a forward integration, to transform decisions into actions.

The installation of binary actions in cobots requires using unicist AI to manage the adaptability and synchronicity. Unicist AI is based on the unicist logic that was developed emulating the intelligence that underlies nature and human intelligence.

Unicist AI is based on the rules of the unicist logic that deals with the functionality of things. It is a fundamentals-based AI that allows managing the functionality of processes of any kind and building intelligent systems and cobots. When necessary, these cobots are installed in mobile applications.

Fundamentals based AI provides the meaning of data, its integration with data-based AI allows managing processes using adaptive automation.

Fundamentals-based AI uses indicators and predictors both to monitor the functionality of processes and as an input to the inference engine.

Diego Belohlavek

NOTE: The Unicist Research Institute has been, since 1976, the world-leading research organization that introduced the functionalist approach to science to manage the functionality of the real world. www.unicist.org

Unicist AI: Integrating Analogical and Homological Approaches

 in Unicist Cobots / Unicist Confederation  tagged Binary Actions / Cobots / Diego Belohlavek / Fundamentals-based AI / Unicist Artificial Intelligence / Unicist Functional Design by

The goal of human conscious intelligence is to deal with the root causes of things to adapt to the environment. Conscious intelligence has two possible approaches: an analogical approach or a homological approach.

The Analogical Approach

The analogical approach to reality deals with the observable facts and actions that are the consequences of the underlying concepts and fundamentals that define the root causes of their functionality.

The artificial intelligence approaches that deal with observable facts and actions can only learn empirical knowledge and make analogical decisions.

This is an emulation of the human reactive intelligence approach that is functional when the goal is to develop operational reactions.

The Homological Approach

The unicist artificial intelligence approach is needed to manage homologies when the goal is to influence complex adaptive environments. Two entities are homologous when they share the underlying concept.

This homological approach deals with the concepts of things, which define the ontogenetic maps of the unified fields and establish the rules of their dynamics and evolution. The unicist homological approach includes the analogical approach but not vice versa.

The unicist artificial intelligence is based on using a homological approach that allows defining the necessary actions to influence a complex adaptive environment and measure the consequences of these actions to learn from them.

The UAI approach includes both learning and deciding actions based on a homological approach that deals with the essential concepts of functions that have been transformed into operational solutions. The feedback from the environment defines the functionality of actions or drives the learning of the system until the results become functional.

Diego Belohlavek

NOTE: The Unicist Research Institute (TURI) has been the world leading private research organization in its segment since 1976. www.unicist.org

The Use of Intelligent Business Cobots

 in Unicist Cobots / Unicist Confederation  tagged Binary Actions / Fundamentals-based AI / Intelligent Systems / Unicist AI / Unicist Functional Design by

Unicist Business Cobots are collaborative robots that manage the functionality of business processes. The use of concepts and fundamentals allowed managing the functionality of business processes and enabled the development of collaborative robots to provide the resources -including functional knowledge- that are needed to manage business processes.

Cobots interact with people to ensure the functionality and the adaptive automation of processes.

The functionality of business cobots manages, on the one hand, the efficacy of processes using logical rules or artificial intelligence and, on the other hand, the efficiency of the operation to ensure the achievement of their purpose.

In business, there are two possible uses:

  1. As part of a backward integration, to sustain decision processes.
  2. As part of a forward integration, to transform decisions into automated actions.

The business applications of Cobots became possible due to the development of the fundamentals-based AI and the binary actions that ensure the generation of results.

Cobots are not based on empirical rules; they use functional rules to build empirical solutions.

Unicist AI is fundamentals-based

Unicist AI became possible due to the functionalist approach to decision processes. It is a fundamentals-based intelligence that emulates the reasoning process of human intelligence and includes two functions to make this possible:

The learning function and the decision function. The subjective bias of data-based AI is solved using this fundamentals-based AI.

Unicist AI allows developing different types of functionalities according to what is needed. 

There are basically 4 types of functions, which are homologous to human decision-making processes, that are being emulated: the descriptive function, the diagnosing function, the predictive function, and the prescriptive function.

Diego Belohlavek

NOTE: The Unicist Research Institute (TURI) has been the world leading private research organization in its segment since 1976. www.unicist.org

Simplifying the Design of Adaptive Business Processes

 in Unicist Confederation / Unicist Functional Design  tagged Adaptive Business Process Design / Binary Actions / Business Cobots / Unicist Functional Designers by

The Unicist Functional Designers were developed to ensure the functionality of business processes. The Unicist Functional Designers are a solution factory to design actions in adaptive environments. They are based on a unicist ontological approach that allows managing the functionality and operation of adaptive systems.

The solutions include the use of unicist AI and binary actions. The unicist AI is a fundamentals-based AI that allows managing the functionality of processes. This functionality is transformed into results through the use of binary actions, which are two synchronized actions that aim at the same purpose.

The concept of the Unicist Functional Designer (UFD) applied to business has been used for more than 30 years by developing solutions based on the ontogenetic maps of the business functions to design the processes, actions and business objects that allow producing the results that have been defined as being possible to be achieved.

Business management requires using a strategic approach that allows designing them, defining their functional actions, and monitoring their evolution.

The Unicist Functional Designer is based on the use of the ontogenetic maps that define the functionality of adaptive entities whatever their kind. The input to the system is the conceptual structure of the functionality of an entity and the output includes the definition of the conceptual design, the definition of the binary actions and their synchronicity, the design of business objects and the operational solution.

Unicist Innovation Center – A Sharing Space
The Unicist Research Institute

NOTE: We invite you to invite your children or the children of your friends to participate in the “Empower your Freedom” program, that works as a catalyst for abductive reasoning processes. It is a non-profit program that has been designed for teenagers from 14 to 17 years old. This program demands 1-hour a week (including the 20-minute session on TWITCH). Access