Understanding intelligent agents: analysis and synthesis

  • Authors:
  • John Fox;Martin Beveridge;David Glasspool

  • Affiliations:
  • London Research Institute, Cancer Research UK, 44 Lincoln's Inn Fields, London WC2A 3PX, UK E-mail: {john.fox,martin.beveridge,david.glasspool}@cancer.org.uk;London Research Institute, Cancer Research UK, 44 Lincoln's Inn Fields, London WC2A 3PX, UK E-mail: {john.fox,martin.beveridge,david.glasspool}@cancer.org.uk;London Research Institute, Cancer Research UK, 44 Lincoln's Inn Fields, London WC2A 3PX, UK E-mail: {john.fox,martin.beveridge,david.glasspool}@cancer.org.uk

  • Venue:
  • AI Communications
  • Year:
  • 2003

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Abstract

Current views of intelligent agent technologies are reviewed with respect to (a) their general cognitive capabilities and (b) the classic Belief-Desire-Intention (BDI) model. A benchmark agent model is developed as a basis for analyzing and comparing agent systems. PROforma is an agent technology that has grown out of work in modeling medical expertise and the benchmark is used to carry out a case study analysis of this technology, looking at it from three contrasting points of view: logic programming, object-oriented programming and agent-oriented programming. These viewpoints yield different insights into the strengths and weaknesses of PROforma and lead to a clarification and consolidation of the benchmark agent features. The consolidated model offers a useful framework for analysis and comparison of other agent systems in medicine or other domains.