000			03565cam a2200613 i 4500
999			_c25644 _d12092
001			25644
003			TR-AnTOB
005			20240104083838.0
007			ta
008			240103t19991999nyua b 001 0 eng
015			_aGB9975929 _2bnb
020			_a0195131584 _q(cloth : alk. paper)
020			_a9780195131581 _q(cloth : alk. paper)
020			_a0195131592 _q(pbk. : alk. paper)
020			_a9780195131598 _q(pbk. : alk. paper)
035			_a(OCoLC)40331208 _z(OCoLC)671982673 _z(OCoLC)704177773
035			_a(TR-AnTOB)25644
040			_aDLC _beng _erda _cDLC _dC#P _dUKM _dGZM _dBAKER _dNLGGC _dBTCTA _dYDXCP _dUBA _dOCLCQ _dZCU _dHEBIS _dU5D _dZWZ _dDEBSZ _dOCLCQ _dDEBBG _dBDX _dOCLCF _dOCLCO _dBEDGE _dP4I _dUKMGB _dOCLCQ _dOCLCO _dUtOrBLW _dTR-AnTOB
041	0		_aeng
050	0	4	_aQ335 _b.B6633 1999
090			_aQ335 _b.B6633 1999
100	1		_aBonabeau, Eric _eauthor _921707
245	1	0	_aSwarm intelligence : _bfrom natural to artificial systems / _cEric Bonabeau, Marco Dorigo, Guy Theraulaz
264		1	_aNew York : _bOxford University Press, _c1999.
264		4	_c©1999
300			_axii, 307 pages : _billustrations ; _c25 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aSanta Fe Institute studies in the sciences of complexity
504			_aBIBINDX
505	0	0	_gCh. 1. _tIntroduction -- _gCh. 2. _tAnt Foraging Behavior, Combinatorial Optimization, and Routing in Communications Network -- _gCh. 3. _tDivision of Labor and Task Allocation -- _gCh. 4. _tCemetery Organization, Brood Sorting, Data Analysis, and Graph Partitioning -- _gCh. 5. _tSelf-Organization and Templates: Application to Data Analysis and Graph Partitioning -- _gCh. 6. _tNest Building and Self-Assembling -- _gCh. 7. _tCooperative Transport by Insects and Robots -- _gCh. 8. _tEpilogue
520	1		_a"This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail
520	8		_aIn particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots
520	8		_aThe book will be an invaluable resource for a broad range of disciplines."--Jacket
650		0	_aArtificial intelligence _91543
650		0	_aSwarm intelligence _921714
650		0	_aInsect societies _921715
650		0	_aInsects _xPsychology _921716
650		0	_aBiological models _921717
650		4	_aArtificial intelligences
650		4	_abiologie
650		4	_asysteme multi-agent
650		4	_aintelligence artificielle
650		4	_arésolution problème
650		4	_aalgorithme fourmi artificielle
650		4	_aintelligence en essaim
653			_aUXC: Artificial intelligence
700	1		_aDorigo, Marco _eauthor _921708
700	1		_aTheraulaz, Guy _eauthor _921709
942			_2lcc _cBK