PMID: 7581623Jun 1, 1995Paper

One framework, two systems: flexible abductive methods in the problem-space paradigm applied to antibody identification and biopsy interpretation

Artificial Intelligence in Medicine
J W SmithN K Amra

Abstract

Our goal is to build flexible knowledge-based systems which can use a variety of problem-solving methods and additional task knowledge, without altering the method or task representation. For this purpose, we use a problem-space architecture which allows opportunistic adaptation of problem-solving methods based on the particular goal, situation and knowledge available. Within this framework, we have developed an opportunistic problem-solving method for flexible abductive problem solving. The basic method was specified in terms of potential subgoals and preferences regarding the order of subgoals. This technique avoids specification of any unnecessary procedural commitments, making the resulting method very general and robust. We then developed two systems using this basic abductive method with additional domain-dependent search-control and task knowledge. The additional knowledge alters/overrides some of the minimal knowledge provided by the basic method. Behavior of these systems can change quite dramatically depending on the added increments of knowledge. Knowledge available at runtime shapes the method and hence the behavior. Moreover, even in the absence of strong domain knowledge, due to the wide coverage of the basic abdu...Continue Reading

References

Oct 1, 1992·Computers and Biomedical Research, an International Journal·M A Musen
Jun 1, 1985·Journal of Medical Systems·J W SmithM Tanner
Apr 1, 1993·Artificial Intelligence in Medicine·J W Smith, A Bayazitoglu

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Citations

Jun 1, 1995·Artificial Intelligence in Medicine·M A Musen, A T Schreiber
Jun 1, 1995·Artificial Intelligence in Medicine·G van HeijstM Stefanelli

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