Artificial Mind System: Kernel Memory Approach

Tetsuya Hoya9783540260721, 3-540-26072-2

This book is written from an engineer’s perspective of the mind. “Artificial Mind System” exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind system and its behaviour is drawn, as concretely as possible, within a unified context, which could eventually lead to practical realisation in terms of hardware or software. With a view that “the mind is a system always evolving”, ideas inspired by many branches of studies related to brain science are integrated within the text, i.e. artificial intelligence, cognitive science / psychology, connectionism, consciousness studies, general neuroscience, linguistics, pattern recognition / data clustering, robotics, and signal processing.

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Table of contents :
Artificial Mind System: Kernel Memory Approach……Page 1
Preface……Page 8
Statements……Page 12
Contents……Page 14
List of Abbreviations……Page 20
1 Introduction……Page 23
Part I The Neural Foundations……Page 31
2 From Classical Connectionist Models to Probabilistic/Generalised Regression Neural Networks (PNNs/GRNNs)……Page 33
3 The Kernel Memory Concept – A Paradigm Shift from Conventional Connectionism……Page 52
4 The Self-Organising Kernel Memory (SOKM)……Page 80
Part II Artificial Mind System……Page 102
5 The Artificial Mind System (AMS), Modules, and Their Interactions……Page 104
6 Sensation and Perception Modules……Page 116
7 Learning in the AMS Context……Page 138
8 Memory Modules and the Innate Structure……Page 155
9 Language and Thinking Modules……Page 189
10 Modelling Abstract Notions Relevant to the Mind and the Associated Modules……Page 208
11 Epilogue – Towards Developing A Realistic Sense of Artificial Intelligence……Page 255
References……Page 263
Index……Page 279