Studies in Computational Intelligence

Kernel Memory Approach

By: Tetsuya Hoya

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Paperback | 25 August 2005

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296 Pages

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23.5 x 16.51 x 2.54

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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.

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Published: 8th November 2014

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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)
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
Table of Contents provided by Publisher. All Rights Reserved.

Studies in Computational Intelligence

Kernel Memory Approach

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Paperback

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