Automated Reasoning for Biology and Medicine
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During the last decade, computer scientists have made significant
progress in developing techniques for storing and retrieving
information, and for solving difficult inferential problems with
computer-based reasoners. The growth in the power of computer
processors, and the parallel decline of the cost of computer memory,
has catalyzed the development of innovative software for problem
solving. In particular, there have been promising advances in
computational methods for acquiring, representing, and manipulating
biological and medical information. I will present key concepts of
automated reasoning investigated in the computer-science subdiscipline
called artificial intelligence (AI). I will frame my discussion in
terms of the genesis and maturation of AI and related subdisciplines
that were spawned shortly after the development of electronic
computers, and will review key themes that have dominated research
over the last three decades.(40 pages)
Keywords: Introduction to artificial intelligence, history of artificial intelligence, history of intelligent reasoning research, logical reasoning, expert systems, Bayesian networks, influence diagrams.
In: Advances in Computer Methods for Systematic Biology: Artificial
Intelligence, Databases, and Computer Vision, Johns Hopkins University
Press, 1993. Invited opening talk, Conference on AI in
Systematic Biology, Napa Valley, California, September 1990. Also, Stanford CS Technical Report KSL-92-55.