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LEADER: 03803fam a22004094a 4500
001 2382147
005 20220616033639.0
008 990312t19991999maua b 001 0 eng
010 $a 99025823
020 $a0792385039 (alk. paper)
035 $a(OCoLC)40990315
035 $a(OCoLC)ocm40990315
035 $9APR7841CU
035 $a(NNC)2382147
035 $a2382147
040 $aDLC$cDLC$dDLC$dOrLoB-B
042 $apcc
050 00 $aHB135$b.C632 1999
082 00 $a330/.01/51$221
245 00 $aComputational techniques for modelling learning in economics /$cedited by Thomas Brenner.
260 $aBoston :$bKluwer Academic Publishers,$c[1999], ©1999.
300 $axiii, 390 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aAdvances in computational economics ;$vv. 11
504 $aIncludes bibliographical references and index.
505 00 $gPt. 1.$tSimulating in Economics.$tEvolutionary Economics and Simulation /$rWitold Kwasnicki.$tSimulation as a Tool to Model Stochastic Processes in Complex Systems /$rKlaus G. Troitzsch --$gPt. 2.$tEvolutionary Approaches.$tLearning by Genetic Algorithms in Economics? /$rFrank Beckenbach.$tCan Learning-Agent Simulations Be Used for Computer Assisted Design in Economics? /$rTony Curzon Price.$tOn the Emergence of Attitudes towards Risk /$rSteffen Huck, Wieland Muller and Martin Strobel.$tInterdependencies, Nearly-decomposability and Adaptation /$rKoen Frenken, Luigi Marengo and Marco Valente --$gPt. 3.$tNeural Networks and Local Interaction.$tNeural Networks in Economics /$rRalf Herbrich, Max Keilbach and Thore Graepel /$r[et al.].$tGenetic Algorithms and Neural Networks: A Comparison Based on the Repeated Prisoners Dilemma /$rRobert E. Marks and Hermann Schnabl.$tLocal Interaction as a Model of Social Interaction? /$rDorothea K. Herreiner --$gPt. 4.$tBoundedly Rational and Rational Models.
505 80 $tMemory, Learning and the Selection of Equilibria in a Model with Non-Uniqueness /$rEmilio Barucci.$tA Behavioral Approach to a Strategic Market Game /$rMartin Shubik and Nicolaas J. Vriend.$tBayesian Learning in Optimal Growth Models under Uncertainty /$rSardar M. N. Islam --$gPt. 5.$tCognitive Learning Models.$tModelling Bounded Rationality in Agent-based Simulations Using the Evolution of Mental Models /$rBruce Edmonds.$tCognitive Learning in Prisoner's Dilemma Situations /$rThomas Brenner.$tA Cognitively Rich Methodology for Modelling Emergent Socioeconomic Phenomena /$rScott Moss.
520 1 $a"Computational Techniques for Modelling Learning in Economics offers a critical overview on the computational techniques that are frequently used for modelling learning in economics.
520 8 $aIt is a collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique.
520 8 $aHence, the book offers some guiding in the field of modelling learning in computation economics."--BOOK JACKET.
650 0 $aEconomics, Mathematical$xStudy and teaching.
650 0 $aEconometrics$xStudy and teaching.
650 0 $aComputational learning theory.$0http://id.loc.gov/authorities/subjects/sh94004662
700 1 $aBrenner, Thomas,$d1968-$0http://id.loc.gov/authorities/names/n99021161
830 0 $aAdvances in computational economics ;$vv. 11.$0http://id.loc.gov/authorities/names/n92094456
852 00 $boff,bus$hHB135$i.C632 1999