Towards Adaptive Web Agents

  • Authors:
  • J. William Murdock;Ashok K. Goel

  • Affiliations:
  • -;-

  • Venue:
  • ASE '99 Proceedings of the 14th IEEE international conference on Automated software engineering
  • Year:
  • 1999

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Abstract

There is an increasingly large demand for software systems which are able to operate effectively in dynamic environments. In such environments, automated software engineering is extremely valuable since a system needs to evolve in order to respond to changing requirements. One way for software to evolve is for it to reflect upon a model of its own design. A key challenge in reflective evolution is credit assignment: given a model representing the design elements of a complex system, how might that system localize, identify and prioritize prospective candidates for potential modification. We describe a model-based credit assignment mechanism. We also report on an experiment on evolving the design of Mosaic 2.4, an early network browser.