000 03551nam a2200529 i 4500
001 6783516
003 IEEE
005 20220712204824.0
006 m o d
007 cr |n|||||||||
008 151223s2014 maua ob 001 eng d
010 _z 2013025304 (print)
020 _a9780262322249
_qelectronic
020 _z9780262026765
_qhardcover : alk. paper
020 _z0262026767
_qhardcover : alk. paper
035 _a(CaBNVSL)mat06783516
035 _a(IDAMS)0b000064820d17ab
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTJ211.37
_b.H65 2014eb
082 0 0 _a629.8/92
_223
245 0 4 _aThe horizons of evolutionary robotics /
_cedited by Patricia A. Vargas, Ezequiel A. Di Paolo, Inman Harvey, and Phil Husbands.
264 1 _aCambridge, Massachusetts :
_bMIT Press,
_c[2014]
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2014]
300 _a1 PDF (x, 302 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aIntelligent robotics and autonomous agents
504 _aIncludes bibliographical references and index.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aEvolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotics engineers, neuroscientists, and philosophers. The contributors discuss incorporating principles from neuroscience into ER; dynamical analysis of evolved agents; constructing appropriate evolutionary pathways; spatial cognition; the coevolution of robot brains and bodies; group behavior; the evolution of communication; translating evolved behavior into design principles; the development of an evolutionary robotics--based methodology for shedding light on neural processes; an incremental approach to complex tasks; and the notion of "mindless intelligence" -- complex processes from immune systems to social networks -- as a way forward for artificial intelligence.ContributorsChristos Ampatzis, Randall D. Beer, Josh Bongard, Joachim de Greeff, Ezequiel A. Di Paolo, Marco Dorigo, Dario Floreano, Inman Harvey, Sabine Hauert, Phil Husbands, Laurent Keller, Michail Maniadakis, Orazio Miglino, Sara Mitri, Renan Moioli, Stefano Nolfi, Michael O'Shea, Rainer W. Paine, Andy Philippides, Jordan B. Pollack, Michela Ponticorvo, Yoon-Sik Shim, Jun Tani, Vito Trianni, Elio Tuci, Patricia A. Vargas, Eric D. Vaughan.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/23/2015.
650 0 _aEvolutionary robotics.
_922076
655 0 _aElectronic books.
_93294
700 1 _aVargas, Patricia A.,
_d1969-
_924316
700 1 _aDi Paolo, Ezequiel A.
_924317
700 1 _aHarvey, Inman.
_924318
700 1 _aHusbands, Phil.
_921918
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_924319
710 2 _aMIT Press,
_epublisher.
_924320
776 0 8 _iPrint version
_z9780262026765
830 0 _aIntelligent robotics and autonomous agents
_921692
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6783516
942 _cEBK
999 _c73368
_d73368