Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010093287 | Q335.7 H69 2005 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
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.
Table of 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 |
