The Theoretical Framework of Cognitive Informatics

Outline

• Abstract
• Keywords
• Introduction
• The Fundamental Theories of Ci
• The Information-Matter-Energy Model
• The Layered Reference Model of the Brain
• The Oar Model of Information Representation in the Brain
• The Cognitive Informatics Model of the Brain
• Natural Intelligence (ni)
• Neural Informatics (nei)
• Cognitive Informatics Laws of Software
• Mechanisms of Human Perception Processes
• The Cognitive Processes of Formal Inferences
• The Formal Knowledge System
• Denotational Mathematics for Ci
• Concept Algebra
• Real-Time Process Algebra (rtpa)
• System Algebra (sa)
• Applications of Ci
• The Architecture of Future Generation Computers
• Estimation of the Capacity of Human Memory
• Autonomic Computing
• Cognitive Properties of Knowledge
• Simulation of Human Cognitive Behaviors Using the Contemporary Mathematics
• Agent Systems
• Ci Foundations of Software Engineering
• Deductive Semantics of Software
• Cognitive Complexity of Software
• Conclusions
• Acknowledgment
• References

Conclusions

This article has presented an intensive survey of the recent advances and groundbreaking studies in Cognitive informatics, particularly its theoretical framework, denotational mathematics, and main application areas. CI has been described as a new discipline that studies the natural intelligence and internal information processing mechanisms of the brain, as well as processes involved in perception and cognition. CI is a new frontier across disciplines of computing, software engineering, cognitive sciences, neuropsychology, brain sciences, and philosophy in recent years. It has been recognized that many fundamental issues in knowledge and software engineering are based on the deeper understanding of the mechanisms of human information processing and cognitive processes.

A coherent set of theories for CI has been described in this article, such as the Information-Matter-Energy model, Layered Reference Model of the Brain, the OAR model of information representation, Natural Intelligence vs. Artificial Intelligence, Autonomic Computing vs. imperative computing, CI laws of software, mechanisms of human perception processes, the cognitive processes of formal inferences, and the formal knowledge system. Three contemporary mathematical means have been created in CI known as the denotational mathematics. Within the new forms of denotational mathematical means for CI, Concept Algebra has been designed to deal with the new abstract mathematical structure of concepts and their representation and manipulation in learning and knowledge engineering. Real-Time Process Algebra has been developed as an expressive, easy-to-comprehend, and language-independent notation system, and a specification and refinement method for software system behaviors description and specification. System Algebra has been created to the rigorous treatment of abstract systems and their algebraic relations and operations.

A wide range of applications of CI has been identified in multidisciplinary and transdisciplinary areas, such as the architecture of future generation computers, estimation the capacity of human memory, autonomic computing, cognitive properties of information, data, knowledge, and skills in knowledge engineering, simulation of human cognitive behaviors using descriptive mathematics, agent systems, CI foundations of software engineering, deductive semantics of software, and cognitive complexity of software systems.