000 | 03522nam a22006135i 4500 | ||
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001 | 978-3-540-32403-4 | ||
003 | DE-He213 | ||
005 | 20161121231023.0 | ||
007 | cr nn 008mamaa | ||
008 | 100806s2005 gw | s |||| 0|eng d | ||
020 |
_a9783540324034 _9978-3-540-32403-4 |
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024 | 7 |
_a10.1007/b96963 _2doi |
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050 | 4 | _aQA75.5-76.95 | |
072 | 7 |
_aUY _2bicssc |
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072 | 7 |
_aUYA _2bicssc |
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072 | 7 |
_aCOM014000 _2bisacsh |
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072 | 7 |
_aCOM031000 _2bisacsh |
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082 | 0 | 4 |
_a004.0151 _223 |
100 | 1 |
_aHoya, Tetsuya. _eauthor. |
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245 | 1 | 0 |
_aArtificial Mind System - Kernel Memory Approach _h[electronic resource] / _cby Tetsuya Hoya. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005. |
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300 |
_aXXI, 270 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v1 |
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505 | 0 | _aPart 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. | |
520 | _aThis 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. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputers. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aBioinformatics. | |
650 | 0 | _aStatistical physics. | |
650 | 0 | _aDynamical systems. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 0 | _aVibration. | |
650 | 0 | _aDynamics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aBioinformatics. |
650 | 2 | 4 | _aStatistical Physics, Dynamical Systems and Complexity. |
650 | 2 | 4 | _aVibration, Dynamical Systems, Control. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540260721 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v1 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/b96963 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c507384 _d507384 |