MARC Record from marc_columbia

LEADER: 04705mam a2200337 a 4500
001 3322787
005 20221020041534.0
008 011113s2002 maua b 001 0 eng d
020 $a0631207120
020 $a0631207139 (pbk.)
035 $a(OCoLC)ocm48408450
035 $9AUW9807CU
035 $a3322787
040 $aEUN$cEUN$dABC$dIXA$dOrLoB-B
090 $aQA76.5$b.B365 2002
100 1 $aBechtel, William.$0http://id.loc.gov/authorities/names/n85126939
245 10 $aConnectionism and the mind :$bparallel processing, dynamics, and evolution in networks /$cWilliam Bechtel and Adele Abrahamsen.
250 $a2nd ed.
260 $aMalden, Mass. ;$aOxford, England :$bBlackwell,$c2002.
300 $axvi, 406 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. [363]-383) and index.
505 00 $g1.$tNetworks versus Symbol Systems: Two Approaches to Modeling Cognition.$g1.1.$tA Revolution in the Making?$g1.2.$tForerunners of Connectionism: Pandemonium and Perceptrons.$g1.3.$tThe Allure of Symbol Manipulation.$g1.4.$tThe Decline and Re-emergence of Network Models.$g1.5.$tNew Alliances and Unfinished Business --$g2.$tConnectionist Architectures.$g2.1.$tThe Flavor of Connectionist Processing: A Simulation of Memory Retrieval.$g2.2.$tThe Design Features of a Connectionist Architecture.$g2.3.$tThe Allure of the Connectionist Approach.$g2.4.$tChallenges Facing Connectionist Networks --$g3.$tLearning.$g3.1.$tTraditional and Contemporary Approaches to Learning.$g3.2.$tConnectionist Models of Learning.$g3.3.$tSome Issues Regarding Learning --$g4.$tPattern Recognition and Cognition.$g4.1.$tNetworks as Pattern Recognition Devices.$g4.2.$tExtending Pattern Recognition to Higher Cognition.$g4.3.$tLogical Inference as Pattern Recognition.$g4.4.$tBeyond Pattern Recognition --
505 80 $g5.$tAre Rules Required to Process Representations?$g5.1.$tIs Language Use Governed by Rules?$g5.2.$tRumelhart and McClelland's Model of Past-tense Acquisition.$g5.3.$tPinker and Prince's Arguments for Rules.$g5.4.$tAccounting for the U-shaped Learning Function.$g5.5.$tConclusion --$g6.$tAre Syntactically Structured Representations Needed?$g6.1.$tFodor and Pylyshyn's Critique: The Need for Symbolic Representations with Constituent Structure.$g6.2.$tFirst Connectionist Response: Explicitly Implementing Rules and Representations.$g6.3.$tSecond Connectionist Response: Implementing Functionally Compositional Representations.$g6.4.$tThird Connectionist Response: Employing Procedural Knowledge with External Symbols.$g6.5.$tUsing External Symbols to Provide Exact Symbol Processing.$g6.6.$tClarifying the Standard: Systematicity and Degree of Generalizability.$g6.7.$tConclusion --$g7.$tSimulating Higher Cognition: A Modular Architecture for Processing Scripts.$g7.1.$tOverview of Scripts.
505 80 $g7.2.$tOverview of Miikkulainen's DISCERN System.$g7.3.$tModular Connectionist Architectures.$g7.4.$tFGREP: An Architecture that Allows the System to Devise Its Own Representations.$g7.5.$tA Self-organizing Lexicon Using Kohonen Feature Maps.$g7.6.$tEncoding and Decoding Stories as Scripts.$g7.7.$tA Connectionist Episodic Memory.$g7.8.$tPerformance: Paraphrasing Stories and Answering Questions.$g7.9.$tEvaluating DISCERN.$g7.10.$tPaths Beyond the First Decade of Connectionism --$g8.$tConnectionism and the Dynamical Approach to Cognition.$g8.1.$tAre We on the Road to a Dynamical Revolution?$g8.2.$tBasic Concepts of DST: The Geometry of Change.$g8.3.$tUsing Dynamical Systems Tools to Analyze Networks.$g8.4.$tPutting Chaos to Work in Networks.$g8.5.$tIs Dynamicism a Competitor to Connectionism?$g8.6.$tIs Dynamicism Complementary to Connectionism?$g8.7.$tConclusion --$g9.$tNetworks, Robots, and Artificial Life.$g9.1.$tRobots and the Genetic Algorithm.$g9.2.$tCellular Automata and the Synthetic Strategy.
505 80 $g9.3.$tEvolution and Learning in Food-seekers.$g9.4.$tEvolution and Development in Khepera.$g9.5.$tThe Computational Neuroethology of Robots.$g9.6.$tWhen Philosophers Encounter Robots.$g9.7.$tConclusion --$g10.$tConnectionism and the Brain.$g10.1.$tConnectionism Meets Cognitive Neuroscience.$g10.2.$tFour Connectionist Models of Brain Processes.$g10.3.$tThe Neural Implausibility of Many Connectionist Models.$g10.4.$tWhither Connectionism?
650 0 $aParallel processing (Electronic computers)$0http://id.loc.gov/authorities/subjects/sh85097826
650 0 $aComputer networks.$0http://id.loc.gov/authorities/subjects/sh85029513
700 1 $aAbrahamsen, Adele A.$0http://id.loc.gov/authorities/names/n88187931
852 00 $boff,psy$hQA76.5$i.B365 2002g