Unicist Cognitive Systems for Sustainable Growth & Profitability


Managing the Unified Field of Businesses

Cognitive systems are part of the solutions introduced by the 4th Industrial Revolution. The purpose of cognitive systems is to interpret reality. The human brain is “the” paradigmatic example of a cognitive system. The use of cognitive systems is necessary to deal with adaptive systems, complex environments, risks and uncertainty.
There are two types of complementary cognitive systems: Those that deal with operational patterns and those that deal with the fundamentals of reality.
The unicist cognitive systems integrate both systems, dealing with the fundamentals of business processes and with operational patterns when big data management becomes possible. The quality assurance of these systems is given by the fallacy avoidance tools.

 

The Paradigm Shift of the 4th Industrial Revolution

The 4th Industrial Revolution applied to business is an upgrade towards a superior level of value generation. It implies managing the unified field of business functions and developing adaptive processes.

It fosters growth, adaptability, productivity, quality, customer orientation and sustainability by managing the unified field of industries. Its consequences cover all the aspects of business behavior. The paradigm shift involves:

Business Strategy: It defines maximal strategies to grow and minimum strategies to ensure survival to sustain growth and defines the unified field of business functions to ensure productivity, quality and sustainability.

Marketing: it manages the root causes of buying processes and the complementary marketing actions to ensure growth and customer orientation.

Management: it requires customer/client centered management to ensure adaptability and customer orientation.

Organization: It organizes processes, objects and roles according to their participation in the business process to ensure productivity, quality, sustainability and the personal development of the participants.

 

The 4th Industrial Revolution

The 4th Industrial Revolution
It is an upgrade towards a superior level of value generation.

Industry 4.0
That introduces adaptiveness, productivity, quality, customer orientation and sustainability.

 

First Principles Method
That allows dealing with fundamentals and the root causes:of business processes.

Artificial Intelligence
That emulates human intelligence to build reliable knowledge.

 

Big Data Analytics
To develop predictive analytics using unstructured, semi-structured and structured data.

Cognitive Computing
That allows transforming data into functional knowledge.

The Market opened by the 4th Industrial Revolution

Industry 4.0 Market worth 152.31 Billion USD by 2022
https://www.marketsandmarkets.com/PressReleases/industry-4.asp

Cognitive Analytics Market worth 10.95 Billion USD by 2022
https://www.marketsandmarkets.com/PressReleases/cognitive-analytics.asp

 

The Origin of Unicist Cognitive Systems

The unicist cognitive systems became possible due to the research on the root causes of social, institutional and individual behavior that discovered that the concepts and fundamentals that underlie social and business functions define the root causes of their functionality.

This discovery was expanded by the development of the ontogenetic maps of these functions, described by their unicist ontologies, that define the conceptual structures and fundamentals that drive the functionality of social and business processes.

The Unicist Cognitive Systems were built upon the information provided by the more than 5,000 researches developed since 1976 at The Unicist Research Institute. These researches provided the necessary information to build the systems to support social and business decision making processes.

 

 

Unicist Cognitive Systems manage the Unified Field of Business Functions

The management of the unified field of adaptive environments is necessary to ensure their functionality. It requires managing the root causes of their functionality and developing maximal strategies to grow and minimum strategies to ensure results.

It has to be considered that the concepts and fundamentals that underlie business functions define their unified fields and drive the root causes of their functionality.

Unicist Cognitive Systems manage the unified fields of business functions using the unicist artificial intelligence to monitor the functionality of their fundamentals to ensure results. These systems are necessary to manage feedback dependent environments.

 

Cognitive Systems deal with Businesses as Adaptive Systems

The Unicist Standard provides the unicist unified field method to manage the unified field of business functions to ensure the achievement of results.
Industry 4.0, artificial intelligence, cognitive systems and the first principles approach consolidated a paradigm shift in business management to increase productivity, quality and customer orientation. The unicist cognitive systems with unicist artificial intelligence use concepts and fundamentals to manage the root causes and the evolution of businesses and their functions to sustain growth and profitability.
They define the framework for management systems, decision support systems and knowledge systems. This approach is necessary to manage the adaptive aspects of businesses. The unicist unified field method defines the steps to diagnose, build solutions and develop pilot tests to ensure the results of business processes.

 

The Unicist Unified Field Method

Unicist Cognitive Systems use the unified field methods to develop structural solutions by managing the root causes of problems.. This method was developed to manage complex problems in adaptive systems which, by definition, have open boundaries to be adaptive.

The unified field of an adaptive system is defined by the ontogenetic maps of the unicist ontologies that define the concepts and fundamentals of the system that drive the root causes of its functionality. These ontogenetic maps are an input to manage the unified field method.

The Unicist Unified Field Method is based on an Action-Reflection-Action process driven by pilot tests. This method was designed to deal with adaptive environments where the conceptual structures are known because they have been researched. When the conceptual structure of a system is unknown, it is necessary to begin with a research process.

It has to be considered that the essential concepts that underlie things are timeless and cross-cultural while the functional concepts are environment dependent and evolve in time. This implies that the structure of concepts can be considered fixed while its content is more or less stable depending on the environment.

The method includes two preparation steps: confirming the experience in the field, by emulating the functionality of the system, and developing a detailed description of its functionality. The central steps of the method deal with making diagnoses, building solutions and developing pilot tests to confirm the functionality.

The method uses the support of a Unicist Artificial Intelligence Module to monitor the learning process triggered by the pilot tests. Finally, there is a recycling process in the case that the results of the pilot test do not allow ensuring the reliability of the solutions.

 

The Unicist Artificial Intelligence Monitor

Unicist artificial intelligence is necessary to emulate the functionality of the unified field of business functions. For this reason, Unicist Cognitive Systems include the use of an artificial intelligence monitor that emulates the ontogenetic structure of fundamentals to ensure their functionality while it learns from the feedback of the pilot tests.

Unicist artificial intelligence is based on the ontogenetic maps of the functions of the adaptive systems or environments that are being managed. These ontogenetic maps describe the underlying concepts and fundamentals that define the root causes of the functionality of an adaptive system. They are an emulation of the triadic ontogenetic intelligence of nature and define the structure of the unicist artificial intelligence.

This intelligence is structured by the unicist logic, that emulates human intelligence and the intelligence of nature, and establishes the rules of the functionality and evolution of the ontogenetic maps, which define the unified field of the adaptive system, including the restricted and wide contexts.

 

The Functionality of Unicist Artificial Intelligence

The Unicist Artificial Intelligence (UAI) was developed to deal with adaptive systems in adaptive environments which, by definition, have open boundaries and are evolving based on the feedback of their actions and on the influence of the context.

Traditional artificial intelligence is based on dealing with reality by emulating the human mind based on the principles of operational thinking in an analytical thinking context.

This implies using a dualistic approach where the validity of conclusion depends on the quantity of iterations to avoid fallacious conclusions based on the subjective bias of their learning processes. AI uses data to learn and interpret reality.

UAI is based on emulating the ontogenetic intelligence of nature and the triadic structure of systemic thinking in the context of conceptual thinking. It uses a double dialectical logic that emulates the intelligence of nature, which allows managing a triadic structure based on a binary approach.

Unicist artificial intelligence uses the ontogenetic maps of the functions involved, which define their underlying concepts and fundamentals, while it learns from the emergent of its interpretations.

Both types of AI fulfill different purposes. While the traditional AI allows dealing with operational environments, the unicist AI allows dealing with a systemic approach to adaptive environments. UAI manages the unified field of social and business functions based on an evolutionary approach that allows managing their dynamics.

 

Fallacy avoidance through destructive testing

Cognitive systems need to have a quality assurance process to ensure fallacy avoidance. These systems need to avoid the subjective bias of big data analysis and avoid the use of hypothetical fundamentals in cognitive systems.

Fallacies are not reasoning errors. Fallacies are the drivers of the human actions that foster the evasion of responsibilities and avoid facing the “unbearable” aspects of reality.

While destructive testing is the quality assurance process of cognitive systems, it provides the learning unit of the unicist artificial intelligence monitors. It allows defining the limits of the validity of knowledge considering that there are always, on the one hand, conceptual limits and, on the other, operational limits.

It is necessary that destructive testing be the first test when dealing with adaptive environments. This implies developing a destructive testing approach to eliminate the subjectivism that is implicit in any projection.

Comparison Between IBM/Watson and Unicist

A comparison between the cognitive approach proposed by IBM/Watson and the Unicist Cognitive Systems clarifies their differences and complementarities:

Aspect IBM/Watson Cognitive Systems Unicist Cognitive Systems
Purpose Reliable Solution Building Managing complex adaptive environments
Approach to Reality Univocal approaches with empirical confirmation Biunivocal approaches with empirical confirmation
Engine Mathematical and Logical Algorithms Unicist Ontogenetic Maps and Unicist-Logic Algorithms
Basic approach It emulates the dualistic human intelligence It emulates the triadic intelligence of nature and the triadic functionality of human intelligence
Pattern recognition Operational patterns Conceptual and operational patterns
Input It uses scientific and operational knowledge and data It uses conceptual, scientific and operational knowledge and data
Knowledge Building Univocal rules and empirical learning Double dialectical rules and empirical learning based on the ontogenetic maps of the concepts of things
Solution Building Based on patterns Based on root causes
Main Application Fields Data analysis, big data management, business applications, natural language understanding, knowledge discovery, visual recognition, speech to text and text to speech, translations, personality insights, tone analysis Social behavior, economic behavior educational applications, institutional applications, business applications, individual behavior, biological behavior, complex systems behavior.
Necessary Managerial Approach It is based on a systemic approach to reality It is based on a strategic approach to reality
Reliability of Knowledge Empirical Conceptual and Empirical
Knowledge Bases External knowledge bases Unicist root cause library and external knowledge bases

 

Unicist Strategy to Manage Adaptiveness

The management of adaptive environments requires having a strategic approach to deal with feedback. Unicist Strategy is an emulation of the intelligence that underlies nature that allows dealing with adaptive environments. It is a conscious planning process to achieve possible goals developing maximal strategies to expand and minimum strategies to ensure profits.

It was created to develop strategies in adaptive environments, integrating expansive and defensive strategies as a unit to ensure results.

The Unicist Artificial Intelligence, that emulates the rules of the intelligence that underlies nature and human intelligence, allowed developing the Unicist Strategic AI Monitor that transforms the conceptual and fundamental approach into operational action plans.

 

Unicist Conceptual Management to manage Root Causes

The concepts of business functions define the root causes of their functionality. The discovery that the concepts and fundamentals people have in their long-term memory drive their actions, allowed managing the fundamentals of business functions, driving management to a superior level.

On the one hand, unicist conceptual management approaches the root causes of business problems to develop structural solutions, using unicist conceptual design to ensure their functionality.

On the other hand, conceptual management allows forecasting the future using a unicist strategic approach to develop maximal strategies to grow and minimum strategies to ensure results.

 

Managing the DNA of Businesses

The Unicist Paradigm Shift in Business establishes the framework of the unicist approach to the 4th Industrial Revolution. It defines the different technologies and methodologies to be used to manage businesses as adaptive systems.

The discovery of the intelligence that underlies nature allowed emulating it, emulating its organization and emulating its evolution. This drove to the discovery of the structure and functionality of concepts and fundamentals that drive human behavior and underlie things which define the root causes of adaptive environments.

This structure of concepts defines the DNA of organizations and adaptive systems that allowed managing the root causes of their functionality.

This upgraded business management, introducing a new stage in business diagnostics, future research, business strategy, business architecture and applying it to business process design. This approach established the conceptual structure of Industry 4.0.

 

Business Objects to Emulate the Organization of Nature

Emulating the organization of nature implies managing businesses based on business objects. The Unicist Cognitive Systems include a module to build business objects to introduce in business processes. Unicist business objects (UBO) are encapsulated adaptive systems that produce predefined results that can be inserted in work processes to increase productivity and quality and to save energy.

Objects are productive adaptive units that have a concept, an added value, the necessary quality assurance and a methodology to ensure the minimum strategy. To imagine an object please consider an automatic pilot in an airplane. It can be considered a “paradigmatic” object.

From a functional point of view there are different types of objects:

  • Driving Objects
    To drive processes
  • Catalyzing Objects
    To accelerate processes
  • Entropy Inhibiting Objects
    To inhibit the entropy of business processes
  • Inhibiting Objects
    To inhibit dysfunctional events in a business
  • Gravitational Objects
    To influence the results of processes

 

Fundamentals' Knowledge Base

The research of the concepts and fundamentals that underlie business functions made unicist cognitive systems possible. A cognitive system is an interface that builds knowledge using artificial intelligence. Knowledge is such when it provides the information, framework, methodologies or methods that are necessary to generate value. The business cognitive systems are essentially analogous to medical cognitive systems because they use validated information to build reliable knowledge.

There are basically two different types of approaches to build business cognitive systems:

  • The data-based approach – based on empirical data.
  • The ontogenetic maps based approach – based on knowledge of the concepts and fundamentals of business functions.

Both approaches converge on the same solution when the learning process of the data-based approach tends towards infinity.

The unicist business cognitive systems are based on the concepts and fundamentals of business functions and an empirical learning process based on the pilot-testing of the validity of the knowledge.

The structure of concepts and their fundamentals is cross-cultural and timeless. It remains unchanged as long as the business function exists, while its operational content is environment dependent. The value of the unicist business cognitive systems is given by the knowledge of the ontogenetic maps of the business functions researched and the learning capacity of the unicist artificial intelligence.

 

The Unicist Cognitive Systems

The Unicist Cognitive Systems for businesses were developed to improve productivity, quality and customer orientation and to manage business monetization processes.

The Unicist Cognitive Systems in business, manage the root causes, the dynamics and the evolution of the business processes they deal with.

These systems were developed to manage businesses as adaptive systems to foster growth, process improvement, decision making, profit improvement and customer orientation.

They take advantage of the technologies included in the 4th Industrial Revolution and use the knowledge of the concepts and fundamentals of the business functions to manage their root causes.

 

Brief of the Unicist Cognitive Systems:

Market Growth Systems

Pilot Test Driven Market Lab System: It was developed to manage and monitor the root causes of buying processes to generate market growth. It is based on the discoveries that were made in the field of human behavior. It is for companies that are expanding their markets.

Marketing Management System: It was developed to increase notoriously the speed of market growth, building sustainable growth while expanding markets. It is based on the knowledge of the concepts and fundamentals of markets and of the compatible marketing models, which are based on the discoveries that were made in the field of human behavior. It is for companies that need to expand their markets.

Profit Improvement Systems

Performance Management System: It was developed to provide the information of the functionality and performance of the adaptive business functions and their processes. It is based on the development of the conceptual measurement and their KPIs. It is for companies who are focused on business expansion.

Root Cause Management System: It was developed to find the root causes of business functions which are defined by the underlying concepts and fundamentals to optimize the cost-value relationships and/or generate profit improvement. It is for organizations that already have a process improvement system.

Unicist Strategy Building Systems

Business Strategy System: It was developed to increase notoriously the speed of growth while ensuring the results to be produced. It is based on the emulation of the intelligence that underlies nature. It is for companies that are expanding the boundaries of their business.

Business Intelligence System: It was developed to provide the information of present and future scenarios to access the information for competitive, critical and structural intelligence. It is based on the conceptual structures that define business scenarios. It is for companies that assume a leading position in the market.

Business Process Improvement Systems

Business Diagnostics System: It was developed to make fundamental diagnoses that allow managing the root causes of problems and build structural solutions. It is based on the knowledge of the fundamental structure of business functions. It is for companies that need to make partial or total turnarounds.

Conceptual Design System: It was developed to use technical knowledge and fundamental knowledge to build the conceptual design of business processes and business functions. It uses the ontogenetic maps of the fundamentals of business functions and the pilot testing processes to ensure the results of the design. It is for companies that need being adaptive.

Efficacy Assurance Systems

Pilot Testing System: It was developed to ensure the functionality of the solutions that are being developed in the company and to learn from their feed-back. The pilot testing systems are simultaneously the learning module of the unicist artificial intelligence monitors. It is for companies that manage continuous improvement.

In-House Coaching System: It was developed to coach the management of the root causes of problems and develop structural solutions. Its activity focused on the projects, the business and the coachee. It is based on the use of the concepts that were researched. It is for organizations that have a systemic approach to businesses.

Organizational Learning Systems

Business Education System: It was developed for business education of managers and high potentials who need to have a strategic approach to manage businesses. It works as a “Teaching Hospital in Business”. It is based on the discoveries that were made on the functionality of human intelligence. It is for companies that manage their high potentials.

Talent Development System: It was developed to diagnose talents, based on the capacity of managing the fundamentals of business processes, and foster their evolution. It is based on the discoveries that were made on the functionality of human intelligence. It is for companies that manage their high potentials.

 

Conclusion

The use of cognitive systems is necessary to deal with adaptive environments, risk management and uncertainty management. It is an emulation of nature where the cognitive system can be found in the genetic intelligence of living beings. It is a strategic approach to reality, which implicitly has a maximal strategy to grow and a minimum strategy to ensure survival.

Unicist cognitive systems include the interpretation of operational patterns and the understanding of the root causes of business processes. The use of destructive pilot tests ensures a fallacy free understanding of reality and the learning process of the unicist artificial intelligence monitor.

 

The Unicist Research Institute