Artificial Mind System
Springer Berlin (Verlag)
978-3-540-26072-1 (ISBN)
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.
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.
| Erscheint lt. Verlag | 25.8.2005 |
|---|---|
| Reihe/Serie | Studies in Computational Intelligence |
| Zusatzinfo | XXI, 270 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 612 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Technik | |
| Schlagworte | Artificial Intelligence • Cognition • cognitive science • creating the brain • Intelligence • Künstliche Intelligenz • learning • Linguistics • Mind • Model • Modeling • Neural networks • Regression • robot • Robotics • Signal |
| ISBN-10 | 3-540-26072-2 / 3540260722 |
| ISBN-13 | 978-3-540-26072-1 / 9783540260721 |
| Zustand | Neuware |
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