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El. knyga: Information Adaptation: The Interplay Between Shannon Information and Semantic Information in Cognition

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  • Formatas: PDF+DRM
  • Serija: SpringerBriefs in Complexity
  • Išleidimo metai: 04-Oct-2014
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783319111704
Kitos knygos pagal šią temą:
Information Adaptation: The Interplay Between Shannon Information and Semantic Information in CognitionDidesnis paveikslėlis
  • Formatas: PDF+DRM
  • Serija: SpringerBriefs in Complexity
  • Išleidimo metai: 04-Oct-2014
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783319111704
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This monograph demonstrates the interplay between Shannon information and semantic information in cognition. It shows that Shannon’s information acts as driving force for the formation of semantic information; and vice versa, namely, that semantic information participates in the formation of Shannonian information. The authors show that in cognition, Shannonian and semantic information are interrelated as two aspects of a cognitive process termed as information adaptation. In the latter the mind/brain adapts to the environment by the deflating and/or inflating of the information conveyed by the environment. In the process of information adaptation, quantitative variations in Shannon’s information entail different meanings while different meanings affect the quantity of information. The book illustrates the above conceptually and mathematically by reference to three cognitive processes: pattern recognition, face learning and the recognition of a moving object.

1 Shannonian Versus Semantic Information and Cognition
1(10)
1.1 Shannonian Information
1(1)
1.2 Semantic Information
2(1)
1.3 Applications to Cognition
3(3)
1.4 Semantic Information Enters in Disguise
6(4)
1.5 Toward Information Adaptation
10(1)
2 Information Versus Data
11(8)
2.1 General Discussion
11(3)
2.1.1 On Knowledge
11(3)
2.2 Mathematical Formulation. Some Basic General Concepts
14(2)
2.2.1 Information Deflation
15(1)
2.3 Data, Information and Meaning. How Are These Related?
16(3)
3 The Empirical Basis of Information Adaptation
19(12)
3.1 Introduction
19(1)
3.2 Deconstruction---Reconstruction
19(1)
3.3 Analysis---Synthesis
20(1)
3.4 Hybrid Images and the Meaning of the Deconstruction/Analysis Process
21(6)
3.4.1 Hybrid Images
22(4)
3.4.2 A Model of Hybrid Images
26(1)
3.5 Computational Models: Link Between Bottom-Up and Top-Down
27(4)
4 A Complexity Theory Approach to Information
31(12)
4.1 Complexity Theory
31(1)
4.2 Complexity and Information
32(2)
4.3 Forms of Communication
34(4)
4.3.1 Complexity, Cognition and Information Adaptation
36(2)
4.4 A Communication System of a Complex Adaptive Cognitive System
38(5)
5 On Synergetic Computers and Other Machines
43(10)
5.1 Can Machines Think?
43(1)
5.2 Trivial Versus Non-Trivial Machines in Relation to Simple Versus Complex Systems
44(3)
5.3 The Synergetic Computer
47(6)
5.3.1 Motivation
47(1)
5.3.2 Self-organization
47(2)
5.3.3 From Pattern Formation to Pattern Recognition
49(1)
5.3.4 SIRN---Synergetic Inter-Representation Networks
50(3)
6 Pattern Recognition as a Paradigm for Information Adaptation
53(8)
6.1 Pattern Recognition
53(1)
6.2 Pattern Recognition of Faces as Information Adaptation by Means of Deflation
53(3)
6.3 Pattern Recognition of Caricatures as Information Adaptation
56(1)
6.4 Pattern Recognition as Information Adaptation by Means of Inflation
57(4)
7 From General Principles of Information Adaptation to Concrete Specific Models
61(18)
7.1 Introductory Remarks
61(1)
7.2 Task: Define Probability of Patterns
62(1)
7.3 Information Deflation via Correlation Functions. Jaynes' Maximum (Information) Entropy Principle
62(1)
7.4 Need for Models: Prototype Patterns
63(1)
7.5 Learning
64(1)
7.6 Recognition
65(2)
7.7 Some More Properties of the SC
67(2)
7.8 On Attention Parameters
69(1)
7.9 Time Dependent Data Set
70(2)
7.10 Machinery
72(1)
7.10.1 First Step: Preprocessing
72(1)
7.10.2 Second Step: Learning
72(1)
7.10.3 Third Step: Recognition
73(1)
7.11 The HMAX Model: Outline---Relation to Information Adaptation
73(6)
7.11.1 The In variance Problem
73(1)
7.11.2 The HMAX Model
74(2)
7.11.3 Information Adaptation
76(3)
8 Some Further Applications and Discussions of Information Adaptation
79(6)
8.1 A Baby Learning the Concept "Mother"
79(1)
8.2 Information Adaptation to an Approaching Object
80(1)
8.3 Adapting the Face of the City to Humans' Information Processing Capabilities
81(4)
Concluding Notes 85(2)
References 87
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