Abstract
A real-world labor market has complex worksite interactions between a worker and an employer. This paper investigates the behavior patterns of workers and employers with a job capacity and a job concentration empirically considering a strategic coalition in an agent-based computational labor market. Here, the strategic coalition can be formed autonomously among workers and/or among employers. For each experimental treatment, the behavior patterns of agents are varied with a job capacity and a job concentration depending on whether a coalition is allowed. Experimental results show that a strategic coalition makes workers and employers aggressive in worksite interactions against their partners.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Tesfatsion, L.: Agent-based Computational Economics: Growing Economics from the Bottom Up. Artificial Life 8, 55–82 (2002)
Tesfatsion, L.: Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search. Journal of Economic Dynamics and Control 25, 419–457 (2001)
Tesfatsion, L.: Hysteresis in an Evolutionary Labor Market with Adaptive Search. In: Chen, S.-H. (ed.) Evolutionary Computation in Economics and Finance, Physics, pp. 189–210. Springer, Heidelberg (2002)
Axelrod, R.: The Evolution of Strategies in the Iterated Prisoner’s Dilemma. In: Genetic Algorithms and Simulated Annealing, ch. 3, pp. 32–41. Morgan Kaufmann, San Francisco (1987)
Colman, A.M.: Game Theory and Experimental Games. Pergamon Press, Oxford (1982)
Darwen, P.J., Yao, X.: On Evolving Robust Strategies for Iterated Prisoner’s Dilemma. In: Yao, X. (ed.) AI-WS 1993 and 1994. LNCS, vol. 956, pp. 276–292. Springer, Heidelberg (1995)
Francisco, A.: A Computational Evolutionary Approach to Evolving Game Strategy and Cooperation. IEEE Transactions on Systems, Man and Cybernetics, Part B 32(5), 498–502 (2002)
Shehory, O., Kraus, S.: Coalition Formation among Autonomous Agents: Strategies and Complexity. In: Fifth European Workshop on Modeling Autonomous Agents in a Multi-Agent World, pp. 56–72. Springer, Heidelberg (1993)
Shehory, O., Sycara, K., Jha, S.: Multi-agent Coordination through Coalition Formation. In: Rao, A., Singh, M.P., Wooldridge, M.J. (eds.) ATAL 1997. LNCS, vol. 1365, pp. 143–154. Springer, Heidelberg (1997)
Garland, A., Alterman, R.: Autonomous Agents that Learn to Better Coordinate. Autonomous Agents and Multi-Agent Systems 8(3), 267–301 (2004)
Tate, A., Bradshaw, M., Pechoucek, M.: Knowledge Systems for Coalition Operations. IEEE Intelligent Systems 17, 14–16 (2002)
Sandholm, T.W., Lesser, V.R.: Coalitions among Computationally Bounded Agents. Artificial Intelligence 94, 99–137 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yang, SR., Min, JK., Cho, SB. (2004). Agent-Based Evolutionary Labor Market Model with Strategic Coalition. In: Webb, G.I., Yu, X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science(), vol 3339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30549-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-540-30549-1_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24059-4
Online ISBN: 978-3-540-30549-1
eBook Packages: Computer ScienceComputer Science (R0)