《情报科学原理 Principles of Information Science（PIS）》课程PPT教学课件：Chapter 10 Methodology, Applications & Progress

Principles of Information Science Chapter 10 Methodology, Applications progress

Principles of Information Science Chapter 10 Methodology, Applications & Progress

§1 Introduction Background for New Methodology Modern natural science methodology is mainly based on matter and energy. in information system, yet the characteristic feature of o Even though matter and energy are still necessitate factor 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 Semantic Al nalysis Analysis Elements Pragmatic Pragmatic Pre-Processing Analysis Input Language Understanding pplications: 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 Thinking Modern time Divided-and-Analyzed Thinking 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