Theory of knowledge : structures and processes
M. S. Burgin (Author)
"This book aims to synthesize different directions in knowledge studies into a unified theory of knowledge and knowledge processes. It explicates important relations between knowledge and information. It provides the readers with understanding of the essence and structure of knowledge, explicating operations and process that are based on knowledge and vital for society. The book also highlights how the theory of knowledge paves the way for more advanced design and utilization of computers and networks."--Publisher's website
World Scientific series in information studies, v. 5, Vol. 5
xvi, 948 pages ; 24 cm.
9789814522670, 9814522678
934627836
Machine generated contents note: 1.Introduction
1.1.The role of knowledge in the contemporary society
1.2.A brief history of knowledge studies
1.3.Structure of the book
2.Knowledge Characteristics and Typology
2.1.The differentiation and classification of knowledge
2.2.Existential characteristics of knowledge
2.3.Descriptive properties of knowledge and corresponding typology
2.3.1.Dimensions and other characteristics of knowledge
2.3.2.Correctness, relevance, and consistency of knowledge
2.3.3.Confidence in and certainty of knowledge
2.3.4.Complexity and clarity of knowledge
2.3.5.Significance of knowledge
2.3.6.Efficiency of knowledge
2.3.7.Reliability of knowledge
2.3.8.Abstractness and generality of knowledge
2.3.9.Completeness of knowledge versus precision of knowledge
2.3.10.Meaning of knowledge
2.3.11.Other descriptive properties of knowledge
2.4.Metaknowledge and metadata Note continued: 3.Knowledge Evaluation and Validation in the Context of Epistemic Structures
3.1.Knowledge in the context of epistemic structures and knowledge scales
3.2.Knowledge evaluation, justification, and testing
3.2.1.Knowledge evaluation
3.2.2.Knowledge validation, justification, and testing
3.3.Local consistency versus global consistency in knowledge representation
4.Knowledge Structure and Functioning: Microlevel or Quantum Theory of Knowledge
4.1.Basic structures of knowledge units on the quantum level
knowledge quanta and semantic links
4.1.1.Quantum theory of knowledge (QTK)
4.1.2.Semantic link network theory (SLNT) and Semantic link theory of knowledge (SLTK)
4.1.3.QTK
SLTK connection
4.2.Signs and symbols as quantum units of knowledge
4.3.Operations with and relations between quantum knowledge units
4.3.1.Properties of and relations between nodes and links in SLN and knowledge quanta in QTK Note continued: 4.3.2.Operations with extended knowledge quanta
4.3.3.Operations with symbolic knowledge quanta and complete semantic links
5.Knowledge Structure and Functioning: Macrolevel or Theory of Average Knowledge
5.1.Language as a universal tool for knowledge representation
5.1.1.Natural languages
5.1.2.Languages of science and mathematics
5.1.3.Algorithmic and programming languages
5.2.Logic as a tool for knowledge representation and production
5.2.1.Concepts, names, terms, and objects
5.2.2.Statements, queries, and instructions
5.2.3.Logical systems of inference
5.3.Theory of abstract properties
5.4.Semantic networks and ontology
5.5.Scripts and productions
5.6.Frames and Schemas
6.Knowledge Structure and Functioning: Megalevel or Global Theory of Knowledge
6.1.A typology of structures and scientific knowledge
6.2.Nuclear and comprehensive knowledge systems Note continued: 6.3.Logic-linguistic knowledge system and descriptive knowledge
6.4.Model-representation knowledge system and representational knowledge
6.5.Procedural, axiological and instrumental knowledge systems, and operational knowledge
6.6.Relations between and operations with global knowledge systems
6.7.Hierarchies of knowledge systems
7.Knowledge Production, Acquisition, Engineering, and Application
7.1.Knowledge production, learning, and acquisition as basic cognitive processes
7.1.1.Scientific cognition
7.1.2.Intuition as a cognitive instrument
7.1.3.Computers and networks as cognitive tools
7.1.4.Learning
7.1.5.Knowledge creation in organizations
7.2.Knowledge organization and engineering
7.3.Knowledge management and application
8.Knowledge, Data, and Information
8.1.Epistemic structures and cognitive information
8.2.Structural aspects of knowledge
information duality Note continued: 8.3.Information as a source of knowledge
8.4.Dynamic aspects of knowledge, data, and information interaction
8.5.Knowledge as a measure of information
9.Conclusion
Appendix
A.Set theoretical foundations
B.Elements of the theory of algorithms
C.Elements of algebra and category theory
D.Numbers and numerical functions
E.Topological, metric and normed spaces