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.
Author(s): Tetsuya Hoya
Series: Studies in Computational Intelligence
Edition: 1
Publisher: Springer
Year: 2005
Language: English
Pages: 288
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
