What Should Be Computed To Understand And Model Brain Function?: From Robotics, Soft Computing, Biology And Neuroscience To Cognitive Philosophy
eBook - PDF

What Should Be Computed To Understand And Model Brain Function?: From Robotics, Soft Computing, Biology And Neuroscience To Cognitive Philosophy

From Robotics, Soft Computing, Biology and Neuroscience to Cognitive Philosophy

  1. 324 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

What Should Be Computed To Understand And Model Brain Function?: From Robotics, Soft Computing, Biology And Neuroscience To Cognitive Philosophy

From Robotics, Soft Computing, Biology and Neuroscience to Cognitive Philosophy

Book details
Table of contents
Citations

About This Book

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 and cognitive science/philosophy, into comprehensive, less technical and more abstract aspects of brain function. These aspects enable us to know in what direction and how far an intelligent machine will go.

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Information

Publisher
World Scientific
Year
2001
ISBN
9789812810304
Topic
Computer Science
Subtopic
Computer Science General
Index
Computer Science

Table of contents

  1. Contents
  2. Series Editor's Preface
  3. Volume Editor's Preface
  4. Chapter 1 Consideration of Emotion Model and Primitive Language of Robots
  5. Chapter 2 An Architecture for Animal-like Behavior Selection
  6. Chapter 3 A Computational Literary Theory: The Ultimate Products of the Brain/Mind Machine
  7. Chapter 4 Cooperation between Neural Networks within the Brain
  8. Chapter 5 Brain-like Functions in Evolving Connectionist Systems for On-line Knowledge-Based Learning
  9. Chapter 6 Interrelationships, Communication, Semiotics and Artificial Consciousness
  10. Chapter 7 Time Emerges from Incomplete Clock Based on Internal Measurement
  11. Chapter 8 The Logical Jump in Shell Changing in Hermit Crab and Tool Experiment in the Ants
  12. Chapter 9 The Neurobiology of Semantics: How Can Machines be Designed to Have Meanings?
  13. Chapter 10 The Emergence of Contentful Experience
  14. Chapter 11 Intentionality and Foundations of Logic: A New Approach to Neurocomputation
  15. About the Authors
  16. Keyword Index