What should be computed to understand and model brain function? : from robotics, soft computing, biology and neuroscience to cognitive philosophy / editor, Tadashi Kitamura.

Format:

Book

Contributor:

Kitamura, Tadashi, 1947-

Series:

FLSI soft computing series ; v. 3.

FLSI soft computing series ; v. 3

Language:

English

Subjects (All):

Artificial intelligence.

Brain--Mathematical models.

Brain.

Neural networks (Computer science).

Soft computing.

Physical Description:

1 online resource (324 p.)

Edition:

1st ed.

Place of Publication:

Singapore ; River Edge, NJ : World Scientific, c2001.

Language Note:

English

Summary:

This volume is a guide to two types of transcendence of academic borders which seem necessary for understanding and modelling brain function. The first type is technical transcendence needed to make intelligent machines such as a humanoid robot, an animal-like behavior architecture, an interpreter of fiction, and an evolving learning machine. This technical erosion is conducted into areas such as biology, ethology, neuroscience and psychology, as well as robotics and soft computing. The second type of transcendence of cross-disciplinary boundaries cuts across scientific areas such as biology a

Contents:

Series Editor's Preface; Volume Editor's Preface; Contents; Chapter 1 Consideration of Emotion Model and Primitive Language of Robots; 1.1 Introduction; 1.2 Acquisition Algorithm of World Model of Robots; 1.3 Primitive Language; 1.4 Autonomous Robot: WAMOEBA-2; 1.5 Communication of WAMOEBA-2; 1.6 Model Acquisition Algorithm of WAMOEBA-2; 1.7 Diversification of Expression; 1.8 Evaluation Experiment; 1.9 Conclusion and Further Perspectives; References; Chapter 2 An Architecture for Animal-like Behavior Selection; 2.1 Introduction; 2.2 Architechture(CBA); 2.3 Criteria for Behavior Selection

2.4 Behavior Design2.5 Experiments; 2.6 Discussion; 2.7 Conclusion; References; Chapter 3 A Computational Literary Theory: The Ultimate Products of the Brain/Mind Machine; 3.1 Introduction; 3.2 Literary Text and Cognition; 3.3 Literary Computing; 3.4 Conclusions; References; Chapter 4 Cooperation between Neural Networks within the Brain; 4.1 Introduction; 4.2 Cerebral Cortex : the 'Pilot'; 4.3 Cerebellar Cortex : the 'Smoother Computer'; 4.4 Basal Ganglia : the 'Security' Computer; 4.5 Conclusion; References

Chapter 5 Brain-like Functions in Evolving Connectionist Systems for On-line Knowledge-Based Learning5.1 Introduction: What Brain-like Functions and Principles to Implement in Intelligent Information Systems?; 5.2 The ECOS Framework; 5.3 Evolving Fuzzy Neural Networks EFuNNs; 5.4 EFuNNs as Universal Learning Machines. Local and Global Generalisation; 5.5 Conclusions and Directions for Further Research; References; Chapter 6 Interrelationships, Communication, Semiotics and Artificial Consciousness; 6.1 Introduction; 6.2 State of the Art

6.3 Several Desirable Properties and Current Limits of the Current Machines6.4 The Sensitive Computer; 6.5 Perception, Self-representation and Self-relating; 6.6 Relationship and Relationship Representation: Key Factors in Intelligence and Communication; 6.7 Methods to Embed Relationships; 6.8 Technical Means; 6.9 Conclusions and Future Perspectives; References; Chapter 7 Time Emerges from Incomplete Clock Based on Internal Measurement; 7.1 Introduction; 7.2 Distinction by Invalidating Distinction; 7.3 Punctuated Equilibrium Resulting Asynchronous Clock; 7.4 Origin of Time; 7.5 Conclusion

ReferencesChapter 8 The Logical Jump in Shell Changing in Hermit Crab and Tool Experiment in the Ants; 8.1 Introduction; 8.2 A Relationship between a Self-similarity and a Paradox; 8.3 Methods; 8.4 Results; 8.5 Conclusion and Future Perspective; References; Chapter 9 The Neurobiology of Semantics: How Can Machines be Designed to Have Meanings?; 9.1 Introduction; 9.2 Communication by Representations; 9.3 Observations of Electroencephalograms; 9.4 The Neural Basis for Intentional Action; 9.5 Linear versus Circular Causality

9.6 A Hypothesis on the Causal Relations of Meanings and Representations

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786611951818

9781281951816

1281951811

9789812810304

9812810307

OCLC:

815754734