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020 _a9783319095783
_9978-3-319-09578-3
024 7 _a10.1007/978-3-319-09578-3
_2doi
035 _ato000557676
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aHB1-846.8
072 7 _aKCA
_2bicssc
072 7 _aBUS069030
_2bisacsh
082 0 4 _a330.1
_223
245 1 0 _aAdvances in Artificial Economics
_helectronic resource
_cedited by Frédéric Amblard, Francisco J. Miguel, Adrien Blanchet, Benoit Gaudou.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aX, 243 p. 91 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aLecture Notes in Economics and Mathematical Systems,
_x0075-8442 ;
_v676
505 0 _aDoes Collaboration Pay?- Why Do Firms Exist?- The "Win-Continue, Lose-Reverse" Rule in Cournot Oligopolies -- Organizational Change for Its Own Sake?- Best Practices in Programming Agent-Based Models in Economics and Finance -- Building Artificial Economies -- Spontaneous Segregation of Agents Across Double Auction Markets -- The J-Curve and Transaction Taxes -- Insights from an Artificial Stock Market -- What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency -- An Agent Based Propagation Model of Bank Failures -- Direct vs. Side Effects in Financial Contagion -- Saudis and Expats - an Agent-Based Model of the Saudi Arabian Labor Market -- Forbidding Fixed Duration Contracts -- Shadow Economy and Wealth Distribution -- Distribution Effects of Extortion Racket Systems -- Impacts on Stability of Interdependencies Between Markets in a Cobweb Model -- Detecting Key Variables in System Dynamics Modelling by Using Social Network Metrics -- Trade-in Programs in the Context of Technological Innovation with Herding -- Evaluating Scenarios for Upgrading Sustainability of the Meat Supply Chain.
520 _aThe book presents a peer-reviewed collection of papers presented during the 10th issue of the Artificial Economics conference, addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues. The field of artificial economics covers a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The grounding principle of artificial economics is the analysis of aggregate properties of simulated systems populated by interacting adaptive agents that are equipped with heterogeneous individual behavioral rules. These macroscopic properties are neither foreseen nor intended by the artificial agents but generated collectively by them. They are emerging characteristics of such artificially simulated systems.
650 0 _aComputer organization.
_9461312
650 0 _aApplication software.
_9459955
650 0 _aSystem theory.
_9460201
650 0 _aeconomic theory.
_9304282
650 1 4 _aEconomics.
_9135154
650 2 4 _aEconomic Theory/Quantitative Economics/Mathematical Methods.
_9462061
650 2 4 _aComputer Systems Organization and Communication Networks.
_9566233
650 2 4 _aComputer Appl. in Social and Behavioral Sciences.
_9303250
650 2 4 _aComplex Systems.
_9412218
700 1 _aAmblard, Frédéric.
_eeditor.
_9417633
700 1 _aMiguel, Francisco J.
_eeditor.
_9462865
700 1 _aBlanchet, Adrien.
_eeditor.
_9462866
700 1 _aGaudou, Benoit.
_eeditor.
_9450246
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aLecture Notes in Economics and Mathematical Systems,
_9279724
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-09578-3
912 _aZDB-2-SBE
999 _c412367