Toward an agent-based computational modeling of bargaining strategies in double auction markets with genetic programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1983, Issue , 2000, Pages 517-531

  Chen, Shu Heng ^a  

^a NATIONAL CHENGCHI UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; COMMERCE; COMPUTATION THEORY; CONTINUOUS TIME SYSTEMS; DATA MINING; ENGINEERING EDUCATION; GENETIC ALGORITHMS; GENETIC PROGRAMMING; INTELLIGENT AGENTS;

AGENT BASED; ARIZONA; COMPUTATIONAL MODEL; CONTINUOUS-TIME; DISCRETE TIME VERSION; DOUBLE AUCTION;

AUTONOMOUS AGENTS;

EID: 84944067126     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44491-2_76     Document Type: Conference Paper

References (13)

1. Andrews, M. and R. Prager (1994), “Genetic Programming for the Acquisition of Double Auction Market Strategies,” in K. E. Kinnear (ed.), Advances in Genetic Programming, Vol. 1, MIT Press. pp. 355-368.
2. Axelrod, R. (1984), The Evolution of Cooperation, Basic Books.
3. Beaufils, B., J.-P. Delahaye and P. Mathieu (1998), “Complete Classes of Strategies for the Classical Iterated Prisoner’s Dilemma,” in V. W. Porto, N. Saravanan, D. Waagen, and A. E. Eiben (eds.), Evolutionary Programming VII, pp. 33-42.
4. Chen, S.-H and C.-H. Yeh (2000), “Evolving Traders and the Business School with Genetic Programming: A New Architecture of the Agent-Based Artificial Stock Market,” Journal of Economic Dynamics and Control, forthcoming.
5. Cliff, D. (1997), “Minimal-Intelligence Agents for Bargaining Behaviors in Market-Based Environments,” HP Technical Report, HPL-97-91, 1997.
6. Dawid, H. (1999), “On the Convergence of Genetic Learning in a Double Auction Market,” Journal of Economic Dynamics and Control, 23, pp. 1545-1567.
7. Gode, D. K., and S. Sunders (1993), “Allocative Efficiency of Market with Zero-Intelligence Trader: Market as a Partial Substitute for Individual Rationality,” Journal of Political Economy, Vol. 101, No. 1, pp. 119-137.
8. Lucas (1986), “Adaptive Behavior and Economic Theory”, in Hogarth, R. M. and M. W. Reder (eds.), Rational Choice: The Contrast between Economics and Psychology, University of Chicago Press, pp. 217-242.
9. Olsson, L. (2000), “Evolution of Bargaining Strategies for Continuous Double Auction Markets Using Genetic Programming,” forthcoming in Proceed ings of the First International Workshop on Computational Intelligence in Economics and Finance (CIEF’2000).
10. Rust, J., J. Miller and R. Palmer (1993): “Behavior of Trading Automata in a Computerized Double Auction Market,” in D. Friedman and J. Rust (eds.), The Double Auction Market: Institutions, Theories, and Evidence, Addison Wesley. Chap. 6, pp.155-198.
11. Rust, J., J. Miller, and R. Palmer (1994), “Characterizing Effective Trading Strategies: Insights from a Computerized Double Auction Market,” Journal of Economic Dynamics and Control, Vol. 18, pp.61-96.
12. Smith, V. (1962), “An Experimental Study of Competitive Market Behavior,” Journal of Political Economy, 70, pp. 111-137.
13. Smith, V. (1992), Papers in Experimental Economics, Cambridge University Press.