Principles of Information Science Chapter 10 Methodology, Applications progress
Principles of Information Science Chapter 10 Methodology, Applications & Progress
§1| ntroduction Background for New Methodology Modern natural science methodology is mainly based on matter and energy. Even though matter and energy are still necessitate factors in information system, yet the characteristic feature of information systems, particularly the complex ones, is neither matter nor energy, but information. Without information the complex information systems like brain and intelligent life, cannot be understood
§1 Introduction Background for New Methodology Modern natural science methodology is mainly based on matter and energy. Even though matter and energy are still necessitate factors in information system, yet the characteristic feature of information systems, particularly the complex ones, is neither matter nor energy, but information. Without information, the complex information systems, like brain and intelligent life, cannot be understood
The Weakness of Old Methodology Structuralism(Matter)-The Same Function May Have Different Structure Functionalism(Energy)-The Same Function May have Different mechanisms Information- Central Mechanism for Complex systems
The Weakness of Old Methodology Structuralism (Matter) – The Same Function May Have Different Structure Functionalism (Energy) – The Same Function May Have Different Mechanisms Information – Central Mechanism for Complex Systems
82 Methodology of Informatics The main body of the methodology includes: Information( Mechanism) analysis of complex systems Information(Mechanism) synthesis of complex systems Information(Mechanism) evolution of complex systems The related criteria of the methodology include: The trinity of matter, energy, and information; The trinity of structure, function, and behavior
§2 Methodology of Informatics -- Information (Mechanism) analysis of complex systems -- Information (Mechanism) synthesis of complex systems -- Information (Mechanism) evolution of complex systems The related criteria of the methodology include: The main body of the methodology includes: -- The trinity of matter, energy, and information; -- The trinity of structure, function, and behavior
Mechanism for Intelligent System Information Knowledge Intelligence
Mechanism for Intelligent System Information Knowledge Intelligence
§3 Implications of The Methodology It is complementary to the traditional methodology The applicability of the methodology is mainly in the complex systems, like intelligence, biological function and behavior understanding and simulation Human society, as well as many macro-systems in economy, is also a complex system with information as a dominant, and characterized, factor. As result, the methodology should be applicable to social science and economic systems
§3 Implications of The Methodology It is complementary to the traditional methodology . The applicability of the methodology is mainly in the complex systems, like intelligence, biological function and behavior understanding and simulation. Human society, as well as many macro-systems in economy, is also a complex system with information as a dominant, and characterized, factor. As result, the methodology should be applicable to social science and economic systems
Comprehensive Information Theory Based Natural Language Processing and Understanding Syntactic Grammatical Semantic emantic Analysis Analysis Elements Pragmatic Pragmatic Pre-Processing Analysis Input language Understanding Applications: Search, Abstraction, Translation
Pre-Processing Comprehensive Information Theory Based Natural Language Processing and Understanding Syntactic Semantic Pragmatic Input Language Understanding Pragmatic Analysis Grammatical Analysis Semantic Analysis Elements Applications: Search, Abstraction, Translation, …
A New Tendency Ancient time Shallow-and-Unitarily Thin king Modern time Divided-and-Analyzed Thin king Present Time Integrated and Comprehensive Thinking Information Science is one of the examples
A New Tendency Ancient Time Shallow-and-Unitarily Thinking Modern Time Divided-and-Analyzed Thinking Present Time Integrated and Comprehensive Thinking Information Science is one of the examples
