| Record ID | marc_columbia/Columbia-extract-20221130-005.mrc:450706191:3120 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-005.mrc:450706191:3120?format=raw |
LEADER: 03120mam a2200409 a 4500
001 2349659
005 20220616025253.0
008 981104s1999 nyua b 001 0 eng
010 $a 98049821
020 $a0195131584 (cloth : alk. paper)
020 $a0195131592 (pbk. : alk. paper)
035 $a(OCoLC)ocm40331208
035 $9APM7476CU
035 $a2349659
040 $aDLC$cDLC$dC#P$dOrLoB-B
050 00 $aQ335$b.B59 1999
082 00 $a006.3$221
100 1 $aBonabeau, Eric.$0http://id.loc.gov/authorities/names/n97016584
245 10 $aSwarm intelligence :$bfrom natural to artificial systems /$cEric Bonabeau, Marco Dorigo, Guy Theraulaz.
260 $aNew York :$bOxford University Press,$c1999.
300 $axii, 307 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aSanta Fe Institute studies in the sciences of complexity
504 $aIncludes bibliographical references (p. 275-296) and index.
505 00 $gCh. 1.$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."--BOOK JACKET.
650 0 $aArtificial intelligence.$0http://id.loc.gov/authorities/subjects/sh85008180
650 0 $aInsect societies.$0http://id.loc.gov/authorities/subjects/sh85066657
650 0 $aInsects$xPsychology.
650 0 $aBiological models.$0http://id.loc.gov/authorities/subjects/sh85014180
700 1 $aDorigo, Marco.$0http://id.loc.gov/authorities/names/n97035036
700 1 $aTheraulaz, Guy.$0http://id.loc.gov/authorities/names/n97016587
830 0 $aProceedings volume in the Santa Fe Institute studies in the sciences of complexity.
852 00 $boff,eng$hQ335$i.B59 1999