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008			081228s2001 nyua |b 001 0 eng
020			_a0471438545 (acidfree paper)
039		9	_a201402040119 _bVLOAD _c201103281249 _dmalmash _c201007311124 _dmalmash _c200812281403 _dNoora _y200812281402 _zNoora
050	0	0	_aTJ217.5 _b.A428 2001
100	1		_aAlbus, James Sacra. _925559
245	1	0	_aEngineering of mind : _ban introduction to the science of intelligent systems / _cJames S. Albus, Alexander M. Meystel.
260			_aNew York : _bWiley, _cc2001.
300			_axv, 411 p. : _bill., map ; _c25 cm.
440		0	_aWiley series on intelligent systems _925560
504			_aIncludes bibliographical references (p. 379-400) and index.
505			_aPreface. Emergence of a Theory. Knowledge. Perception. Goal Seeking and Planning. A Reference Model Architecture. Behavior Generation. World Modeling, Value Judgment, and Knowledge Representation. Sensory Processing. Engineering Unmanned Ground Vehicles. Future Possibilities. References. Index.
520			_aPresenting a reference model architecture for the design of intelligent systems Engineering of Mind presents the foundations for a computational theory of intelligence. It discusses the main streams of investigation that will eventually converge in a scientific theory of mind and proposes an avenue of research that might best lead to the development of truly intelligent systems. This book presents a model of the brain as a hierarchy of massive parallel computational modules and data structures interconnected by information pathways. Using this as the basic model on which intelligent systems should be based, the authors propose a reference model architecture that accommodates concepts from artificial intelligence, control theory, image understanding, signal processing, and decision theory. Algorithms, procedures, and data embedded within this architecture would enable the analysis of situations, the formulation of plans, the choice of behaviors, and the computation of uncertainties. The computational power to implement the model can be achieved in practical systems in the foreseeable future through hierarchical and parallel distribution of computational tasks. The authors' reference model architecture is expressed in terms of the Real-time Control System (RCS) that has been developed primarily at the National Institute of Standards and Technology. Suitable for engineers, computer scientists, researchers, and students, Engineering of Mind blends current theory and practice to achieve a coherent model for the design of intelligent systems.
650		0	_aIntelligent control systems. _94274
650		0	_aRobotics. _91879
650		0	_aArtificial intelligence. _95146
942			_2lcc _n0 _cBK
999			_c10588 _d10588