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Cognitive modeling / edited...
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monografia Rebiun37043860 https://catalogo.rebiun.org/rebiun/record/Rebiun37043860 m o d cr cn||||||||| 030408s2002 maua ob 001 0 eng d 2001018325 60819441 71799465 251910127 444854677 508208530 990470700 990739462 992091522 1020520004 1053311161 1167591406 1259141804 1285460019 1286901903 1340052011 0585442789 electronic bk.) 9780585442785 electronic bk.) 9780262281744 electronic bk.) 0262281740 electronic bk.) 0262161982 9780262161985 0262661160 pbk. ;) alk. paper) 9780262661164 pbk. ;) alk. paper) 0262293080 9780262293082 (WaSeSS)ssj0000124372 AU@ 000051356067 AU@ 000072079333 DEBBG BV043067537 DEBSZ 422463426 GBVCP 800937821 NZ1 11633798 NZ1 13084833 1888 MIT Press N$T eng pn N$T YDXCP OCLCQ TUU OCLCQ TNF OCLCQ OCLCF OCLCO NLGGC OCLCQ VVL VT2 COO OCLCQ NUI MBB ZCU OCLCO OCLCQ CUS OCLCQ AGLDB TOA LIP PIFBR MERER OCLCQ OCLCO WY@ OCLCO OCLCA U3W OCLCQ ROC OCLCO MNS LUE OCLCO RCC OCLCO ANT OCLCO GILDS VNS MNI WCO VTS CEF XQH MUO RRP OCLCQ OCLCO INT REC TOF OCLCO OCLCQ OCLCA MITPR OCLCA YOU STF OCLCO MITPR M8D TEF RDF EBLCP OCLCA INARC OCLCO OCLCQ QGK COA OCLCO OCLCL OCLCQ SCI 090000 bisacsh PSY 008000 bisacsh 153 21 Cognitive modeling edited by Thad A. Polk and Colleen M. Seifert Cambridge, Mass. MIT Press 2002 Cambridge, Mass. Cambridge, Mass. MIT Press 2002 1 online resource (xxi, 1270 pages) illustrations 1 online resource (xxi, 1270 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft Bradford Books "A Bradford book." Includes bibliographical references and index 1.) Role of knowledge in discourse comprehension: a construction-integration model Walter A. Kintssch -- 2.) Act: a simple theory of complex cognition John R. Anderson -- 3.) Preliminary analysis of the soar architecture as a basis for general intelligence Paul S. Rosenbloom, John E. Laird, Allen Newell, and Robert McCarl -- 4.) Adaptive executive control: flexible multiple-task performance without pervasive immutable response-selection bottlenecks David E. Meyer [and others] -- 5.) Capacity theory of comprehension: individual differences in working memory Marcel A. Just and Patricia A. Carpenter -- 6.) How neural networks learn from experience Geoffrey E. Hinton -- 7.) Hopfield model John Hertz, Anders Krogh, and Richard G. Palmer -- 8.) Learning representations by back-propagating errors David E. Rumelhart, Geoffrey E. Hinton, and Ronald J. Williams -- 9.) Forward models: supervised learning with a distal teacher Michael I. Jordan and David E. Rumelhart -- 10.) Finding structure in Time Jeffrey L. Elman -- 11.) Self-organizing neural network for supervised learning, recognition, and prediction Gail A. Carpenter and Stephen Grossberg -- 12.) Optimality: from neural networks to universal grammar Alan Prince and Paul Smolensky -- 13.) Dynamic binding in a neural network for shape recognition John E. Hummel and Irving Biederman -- 15.) End of the line for a brain-damaged model of unilateral neglect Michael C. Mozer, Peter W. Halligan, and John C. Marshall -- 16.) Integrated theory of list memory John R. Anderson, Dan Bothell, Christian Lebiere, and Michael Matessa -- 17.) Why there are complementary learning systems in hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory James L. McClelland, Bruce L. McNaughton, and Randall C. O'Reilly -- 18.) ALCOVE: an exemplar-based connectionist model of category learning John K. Kruschke -- 19.) How people learn to skip steps Stephen B. Blessing and John R. Anderson -- 20.) Acquisition of children's addition strategies: a model of impasse-free, knowledge-level learning Randolph M. Jones and Kurt Van Lehn -- 21.) Learning from a connectionist model of the acquisition of the English past tense Kim Plunkett and Virginia A. Marchman -- 22.) Acquiring the mapping from meaning to sounds Garrison W. Cottrell and Kim plunkett -- 23.) Understanding normal and impaired word reading: computational principles in quasi-regular domains David C. Plaut, James L. McClelland, Mark S. Seidenberg, and Karalyn Patterson -- 24.) Language production and serial order: a functional analysis and a model Gary S. Dell, Lisa K. Burger, and William R. Svec -- 25.) Interference in short-term memory: the magical number two (or three) in sentence processing Richard L. Lewis -- 26.) Similarity, interactive activation, and mapping: an overview Robert L. Goldstone and Douglas L. Medin -- 27.) Analogical mapping by constraint satisfaction Keith J. Holyoak and Paul Thagard -- 28.) MAC/FAC: a model of similarity-based retrieval Kenneth D. Forbus, Dedre Gentner, and Keith Law -- 29.) Distributed representations of structure: a theory of analogical access and mapping John E. Hummel and Keith J. Holyoak -- 30.) Case-based learning: predictive features in indexing Colleen M. Seifert [and others] -- 31.) Feature-based induction Steven A. Sloman -- 32.) Deduction as verbal reasoning Thad A. Polk and Allen Newell -- 33.) Project Ernestine: validating a GOMS analysis for predicting and explaining real-world task performance Wayne D. Gray, Bonnie E. John, and Michael E. Atwood -- 34.) Connectionism and the problem of systematicity (continued): why Smolensky's solution still doesn't work Jerry Fodor -- 35.) Networks and theories: the place of connectionism in cognitive science Michael C. McCloskey -- 36.) Neuropsychological inference with an interactive brain: a critique of the "locality" assumption Martha J. Farah -- 37.) Is human cognition adaptive? John R. Anderson -- 38.) Précis of Unified Theories of Cognition Allen Newell Annotation. Computational modeling plays a central role in cognitive science. This book provides a comprehensive introduction to computational models of human cognition. It covers major approaches and architectures, both neural network and symbolic; major theoretical issues; and specific computational models of a variety of cognitive processes, ranging from low-level (e.g., attention and memory) to higher-level (e.g., language and reasoning). The articles included in the book provide original descriptions of developments in the field. The emphasis is on implemented computational models rather than on mathematical or nonformal approaches, and on modeling empirical data from human subjects English Cognition Cognitive science Cognition Cognitive Science Cognition Sciences cognitives cognition. SCIENCE- Cognitive Science. PSYCHOLOGY- Cognitive Psychology. Cognition. Cognitive science. Cognitie. Cognitieve processen. Cognitiewetenschap. Modellen (theorie) Handboeken (vorm) Polk, Thad A. Seifert, Colleen M. Print version Cognitive modeling. Cambridge, Mass. : MIT Press, 2002 0262161982 (DLC) 2001018325 (OCoLC)45791410 Bradford book