| Description |
1 online resource (xxi, 270 pages) : illustrations |
| Series |
Studies in computational intelligence, 1860-949X ; v. 1 |
|
Studies in computational intelligence ; v. 1. 1860-949X
|
| Contents |
Part I: The Neural Foundations -- From Classical Connectionist Models to Probabilistic / Generalised Regression Neural Networks (PNNs / GRNNs) -- The Kernel Memory Concept -- A Paradigm Shift from Conventional Connectionism -- The Self-Organising Kernel Memory (SOKM) -- Part II: Artificial Mind Systems -- The Artificial Mind System (AMS), Modules, and their Interactions -- Sensation and Perception Modules -- Learning in the AMS Context -- Memory Modules and the Innate Structure -- Language and Thinking Modules -- Modelling Abstract Notions Relevant to the Mind and Associated Modules -- Epilogue -- Towards Developing a Realistic Sense of Artificial Intelligence |
| Summary |
Annotation This book was written from an engineer's perspective of the mind. So far, although quite a large amount of literature on the topic of the mind has appeared from various disciplines; in this research monograph, the author tried to draw a picture of the holistic model of an artificial mind system and its behaviour, 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 / motivated from 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. The intention is then to expose the reader to a broad spectrum of interesting areas in general brain science / mind-oriented studies |
| Bibliography |
Includes bibliographical references (pages 245-259) and index |
| Notes |
English |
|
Print version record |
| In |
OhioLINK electronic book center |
|
SpringerLink |
| Subject |
Artificial intelligence -- Research
|
|
Ingénierie.
|
|
Artificial intelligence -- Research
|
| Form |
Electronic book
|
| ISBN |
9783540324034 |
|
3540324038 |
|
3540260722 |
|
9783540260721 |
|
