000			02809cam a2200325 a 4500
001			a3995
003			SIRSI
008			080226s2008 maua b 001 0 eng
010			_a2008008739
020			_a9780262062718 (hardcover : alk. paper)
020			_a0262062712 (hardcover : alk. paper)
035			_a(Sirsi) i9780262062718
050	0	0	_aQ336 _b.F66 2008
082	0	0	_a006.3 _222
100	1		_aFloreano, Dario.
245	1	0	_aBio-inspired artificial intelligence : _btheories, methods, and technologies / _cDario Floreano, Claudio Mattiussi.
260			_aCambridge, Mass. : _bMIT Press, _cc2008.
300			_axiv, 659 p. : _bill. ; _c24 cm.
490	1		_aIntelligent robotics and autonomous agents.
504			_aIncludes bibliographical references (p. [587]-649) and index.
505	0		_aEvolutionary systems -- Cellular systems -- Neural systems -- Development systems -- Immune systems -- Behavioral systems -- Collective systems.
520	1		_a"New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence - to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers." "Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems-including several approaches to robotics, such as behavior-based, biomimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading."--Jacket.
650		0	_aArtificial intelligence _xData processing.
650		0	_aBiologically-inspired computing.
650		0	_aSelf-organizing systems.
650		0	_aAutonomous robots.
650		0	_aBiomimetics.
700	1		_aMattiussi, Claudio.
830		0	_aIntelligent robotics and autonomous agents.
999			_c17963 _d17963