Analysis and synthesis: multi-agent systems in the social sciences

Although they flow from a common source, the uses of multi-agent systems (or 'agent-based computational systems'--ACE) vary between the social sciences and computer science. The distinction can be broadly summarized as analysis versus synthesis, or explanation versus design. I compare and contrast these uses, and discuss sufficiency and necessity in simulations in general and in multi-agent systems in particular, with a computer science audience in mind.

[1]  W. Brian Arthur,et al.  On designing economic agents that behave like human agents , 1993 .

[2]  D. Midgley,et al.  Breeding competitive strategies , 1997 .

[3]  M. Knoche Kat. 16 Das Gründungsdokument der modernen Naturwissenschaft Isaac Newton: Philosophiae naturalis principia mathematica. Londini: jussi Societatus Regiae ac typis Josephi Streater / London: John Streater und Samuel Smith, 1687 , 2011 .

[4]  Nicolaas J. Vriend,et al.  An Illustration of the Essential Difference between Individual and Social Learning, and its Consequences for Computational Analyses , 1998 .

[5]  David F. Midgley,et al.  Building and assurance of agent-based models: An example and challenge to the field , 2007 .

[6]  Implicit Coalitions in a Generalized Prisoner's Dilemma , 1988 .

[7]  R. Axelrod Simulation in Social Sciences , 2007 .

[8]  Lee G. Cooper,et al.  Co-Evolving Better Strategies in Oligopolistic Price Wars , 2007 .

[9]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[10]  Alvin E. Roth,et al.  Game Theory as a Tool for Market Design , 2000 .

[11]  Bruce Edmonds,et al.  Beyond the Design Stance : The Intention of Agent-Based Engineering , 2003 .

[12]  K. Judd Computationally Intensive Analyses in Economics , 2006 .

[13]  Philip Mirowski,et al.  Markets come to bits: Evolution, computation and markomata in economic science , 2007 .

[14]  Elizabeth Sklar,et al.  Co-evolutionary Auction Mechanism Design: A Preliminary Report , 2002, AMEC.

[15]  Robert Axelrod,et al.  Advancing the art of simulation in the social sciences , 1997, Complex..

[16]  Julian A. Padget,et al.  Agent-Mediated Electronic Commerce IV. Designing Mechanisms and Systems , 2002, Lecture Notes in Computer Science.

[17]  W. Hamilton,et al.  The evolution of cooperation. , 1984, Science.

[18]  G. Nigel Gilbert,et al.  Simulation for the social scientist , 1999 .

[19]  S. Kauffman At Home in the Universe: The Search for the Laws of Self-Organization and Complexity , 1995 .

[20]  James W. Haefner,et al.  Modeling Biological Systems , 1996, Springer US.

[21]  I. Newton Philosophiæ naturalis principia mathematica , 1973 .

[22]  Robert E. Marks,et al.  Validating Simulation Models: A General Framework and Four Applied Examples , 2007 .

[23]  Milton Friedman,et al.  Essays in Positive Economics , 1954 .

[24]  A. Roth The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics , 2002 .

[25]  Richard M. Burton,et al.  Computational Laboratories for Organization Science: Questions, Validity and Docking , 2003, Comput. Math. Organ. Theory.

[26]  N. R. Jennings,et al.  To appear in: Int Journal of Group Decision and Negotiation GDN2000 Keynote Paper Automated Negotiation: Prospects, Methods and Challenges , 2022 .

[27]  M. Wellman,et al.  Automated Markets and Trading Agents , 2007 .

[28]  John Duffy,et al.  Agent-Based Models and Human Subject Experiments , 2004 .

[29]  Alvin E. Roth,et al.  GAME THEORY AS A PART OF EMPIRICAL ECONOMICS , 1991 .

[30]  F. Crick,et al.  Molecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic Acid , 1953, Nature.

[31]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[32]  Joshua M. Epstein,et al.  Agent-based computational models and generative social science , 1999, Complex..

[33]  Leigh Tesfatsion,et al.  Testing the Reliability of FERC's Wholesale Power Market Platform: An Agent-Based Computational Economics Approach , 2004 .

[34]  Thomas Brenner,et al.  Agent Learning Representation - Advice in Modelling Economic Learning , 2004 .

[35]  B. LeBaron Agent-based Computational Finance , 2006 .

[36]  John Dickhaut,et al.  Price Formation in Double Auctions , 2001, E-Commerce Agents.

[37]  R. Marks Market Design Using Agent-Based Models , 2006 .

[38]  Robert L. Axtell,et al.  Aligning simulation models: A case study and results , 1996, Comput. Math. Organ. Theory.

[39]  J. Mcmillan Reinventing the Bazaar: A Natural History of Markets , 2002 .

[40]  Donald Ervin Knuth,et al.  The Art of Computer Programming , 1968 .

[41]  D. Cliff Evolutionary Optimization of Parameter Sets for Adaptive Software-Agent Traders in Continuous Double Auction Markets , 2001 .

[42]  F. Crick,et al.  Molecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic Acid , 1974, Nature.

[43]  Paul Milgrom,et al.  Putting Auction Theory to Work , 2004 .

[44]  B. W. Rust,et al.  Importance of validation in ecosystem analysis , 1975 .

[45]  Robert E. Marks,et al.  Breeding hybrid strategies: optimal behaviour for oligopolists , 1989, ICGA.

[46]  Joshua M. Epstein,et al.  Remarks on the Foundations of Agent-Based Generative Social Science , 2012 .

[47]  S. Durlauf Complexity and Empirical Economics , 2005 .

[48]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[49]  Michael P. Wellman,et al.  Autonomous bidding agents - strategies and lessons from the trading agent competition , 2007 .

[50]  M. J. Hatcher,et al.  Modeling Biological Systems: Principles and Applications , 1997 .

[51]  A. Rubinstein Modeling Bounded Rationality , 1998 .

[52]  Robert Axelrod Advancing the art of simulation in the social sciences , 1997 .

[53]  H. Simon,et al.  Models of Bounded Rationality: Empirically Grounded Economic Reason , 1997 .

[54]  Dhananjay K. Gode,et al.  Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality , 1993, Journal of Political Economy.

[55]  Nicolaas J. Vriend,et al.  An Illustration of the Essential Difference between Individual and Social Learning, and its Consequences for Computational Analyses , 1998 .

[56]  Andrew Byde,et al.  Applying Evolutionary Search to a Parametric Family of Auction Mechanisms , 2006 .

[57]  W. Arthur Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality , 1991 .

[58]  杉本 剛 Philosophiae Naturalis Principia Mathematica邦訳書の底本に関するノート , 2010 .