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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-009.mrc:155231990:3504
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-009.mrc:155231990:3504?format=raw

LEADER: 03504cam a22004098a 4500
001 4121032
005 20221027041350.0
008 030613s2003 nyu 101 0 eng
010 $a 2003054389
020 $a3540404295 (softcover : alk. paper)
035 $a(OCoLC)ocm52494034
035 $a(NNC)4121032
035 $a4121032
040 $aDLC$cDLC$dOHX$dNNC$dOrLoB-B
042 $apcc
050 00 $aQ325.5$b.W65 2003
072 7 $aQ$2lcco
082 00 $a006.3/1$221
111 2 $aWorkshop on Adaptive Behavior in Anticipatory Learning Systems$n(1st :$d2002 :$cEdinburgh, Scotland)
245 10 $aAnticipatory behavior in adaptive learning systems :$bfoundations, theories, and systems /$cMartin V. Butz, Olivier Sigaud, Pierre Gérard (eds.).
260 $aNew York :$bSpringer,$c2003.
263 $a0307
300 $ax, 301 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aLecture notes in computer science,$x0302-9743 ;$v2684. Lecture notes in artificial intelligence
504 $aIncludes bibliographical references and index.
505 00 $tAnticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior /$rMartin V. Butz, Olivier Sigaud and Pierre Gerard -- $tWhose Anticipations? /$rAlexander Riegler -- $tNot Everything We Know We Learned /$rMihai Nadin -- $tAnticipatory Behavioral Control /$rJoachim Hoffmann -- $tTowards a Four Factor Theory of Anticipatory Learning /$rMark Witkowski -- $tInternal Models and Anticipations in Adaptive Learning Systems /$rMartin V. Butz, Olivier Sigaud and Pierre Gerard -- $tMathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations /$rDaniel M. Dubois -- $tAnticipation Driven Artificial Personality: Building on Lewin and Loehlin /$rStevo Bozinovski -- $tA Framework for Preventive State Anticipation /$rPaul Davidsson -- $tSymbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment /$rJun Tani -- $tForward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot /$rGianluca Baldassarre -- $tSensory Anticipation for Autonomous Selection of Robot Landmarks /$rJason Fleischer, Stephen Marsland and Jonathan Shapiro -- $tRepresenting Robot-Environment Interactions by Dynamical Features of Neuro-controllers /$rMartin Hulse, Keyan Zahedi, Frank Pasemann and Sankt Augustin -- $tAnticipatory Guidance of Plot /$rJarmo Laaksolahti and Magnus Boman -- $tExploring the Value of Prediction in an Artificial Stock Market /$rBruce Edmonds -- $tGeneralized State Values in an Anticipatory Learning Classifier System /$rMartin V. Butz and David E. Goldberg.
650 0 $aMachine learning$vCongresses.$0http://id.loc.gov/authorities/subjects/sh2008107143
650 0 $aExpectation (Philosophy)$vCongresses.
700 1 $aButz, Martin V.,$d1975-$0http://id.loc.gov/authorities/names/n2001015113
700 1 $aSigaud, Olivier.$0http://id.loc.gov/authorities/names/n2003003508
700 1 $aGerard, Pierre.$0http://id.loc.gov/authorities/names/nr93026501
711 2 $aInternational Conference on Simulation of Adaptive Behavior$n(7th :$d2002 :$cUniversity of Edinburgh)
830 0 $aLecture notes in computer science ;$v2684.$0http://id.loc.gov/authorities/names/n42015162
830 0 $aLecture notes in computer science.$pLecture notes in artificial intelligence.$0http://id.loc.gov/authorities/names/n86736436
852 00 $boff,eng$hQ325.5$i.W65 2003