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Toward a Methodology for AI Architecture Evaluation: Comparing Soar and CLIPS

  • Scott A. Wallace
  • John E. Laird
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1757)

Abstract

We propose a methodology that can be used to compare and evaluate Artificial Intelligence architectures and is motivated by fundamental properties required by general intelligent systems. We examine an initial application of this method used to compare Soar and CLIPS in two simple domains. Results gathered from our tests indicate both qualitative and quantitative differences in these architectures and are used to explore how aspects of the architectures may affect the agent design process and the performance of agents implemented within each architecture.

Keywords

Short Term Memory Command Line Interface Simple Domain Control Knowledge Hierarchical Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Scott A. Wallace
    • 1
  • John E. Laird
    • 1
  1. 1.Artificial Intelligence LaboratoryUniversity of MichiganAnn ArborUSA

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