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A Generic Approach to an Object-Oriented Learning Classifier System Library

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Abstract

Learning Classifier Systems (LCS) have gained popularity in the realm of social science simulation. However, when it comes to actually constructing a LCS for a particular modelling purpose, it seems that every researcher must currently "reinvent the wheel". Taking this situation as a starting point, the objective of this paper is to present the basic ideas behind a LCS library, which can relieve simulation researchers of some of the technical work and can provide a generic structure for modelling LCS. The library is based on a strictly object-oriented approach. This provides flexibility in the process of constructing a LCS for a specific modelling purpose and encourages experimentation with various different assumptions. The paper is supported with examples based on experience in using the library.

Suggested Citation

  • Matthias Meyer & Klaus Hufschlag, 2006. "A Generic Approach to an Object-Oriented Learning Classifier System Library," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(3), pages 1-9.
    • Handle: RePEc:jas:jasssj:2006-28-1
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