ACE Models of Endogenous Interactions
In: Handbook of Computational Economics
AbstractVarious approaches used in Agent-based Computational Economics (ACE) to model endogenously determined interactions between agents are discussed. This concerns models in which agents not only (learn how to) play some (market or other) game, but also (learn to) decide with whom to do that (or not).
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- Joerg Oechssler, 1994.
"Decentralization and the Coordination Problem,"
Game Theory and Information
- Romans Pancs & Nicolaas J. Vriend, 2003.
"Schelling's Spatial Proximity Model of Segregation Revisited,"
487, Queen Mary, University of London, School of Economics and Finance.
- Pancs, Romans & Vriend, Nicolaas J., 2007. "Schelling's spatial proximity model of segregation revisited," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 1-24, February.
- Romans Pancs & Nicolaas J. Vriend, . "Schelling's Spatial Proximity Model of Segregation Revisited," Modeling, Computing, and Mastering Complexity 2003 15, Society for Computational Economics.
- Romans Pancs & Nicolaas J. Vriend, 2003. "Schelling's Spatial Proximity Model of Segregation Revisited," Computing in Economics and Finance 2003 63, Society for Computational Economics.
- Kirman, Alan P. & Vriend, Nicolaas J., 2001. "Evolving market structure: An ACE model of price dispersion and loyalty," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 459-502, March.
- Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, January.
- Dan Ladley & Seth Bullock, 2008. "The Strategic Exploitation of Limited Information and Opportunity in Networked Markets," Computational Economics, Society for Computational Economics, vol. 32(3), pages 295-315, October.
- HaydÃ©e Lugo, 2005.
"Incentives to Cooperate in Network Formation,"
Computing in Economics and Finance 2005
181, Society for Computational Economics.
- Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
- Chad Seagren, 2011. "Examining social processes with agent-based models," The Review of Austrian Economics, Springer, vol. 24(1), pages 1-17, March.
- Myong-Hun Chang & Joseph E Harrington Jr, 2004.
"Agent-Based Models of Organizations,"
Economics Working Paper Archive
515, The Johns Hopkins University,Department of Economics.
- João Bernardino & Tanya Araújo, 2010. "On Positional Consumption and Technological Innovation- an Agent-based Approach," Working Papers Department of Economics 2010/04, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
- Jack Robles, 2008. "Evolution, bargaining, and time preferences," Economic Theory, Springer, vol. 35(1), pages 19-36, April.
- Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.
- Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
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