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Citation: Eric Horvitz. (1993) Automated Reasoning for Biology and Medicine. In Advances in Computer Methods for Systematic Biology: Artificial Intelligence, Databases, and Computer Vision, ,,1993.
| Publication article ( Edit )
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| type | Article
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| bibtype | article
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| Bibtex basics
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| author | Eric Horvitz
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| title | Automated Reasoning for Biology and Medicine
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| journal | Advances in Computer Methods for Systematic Biology: Artificial Intelligence, Databases, and Computer Vision
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| year | 1993
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| Bibtex more
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| note | Postscript for this article is available at http://www.research.microsoft.com/research/dtg/horvitz/AIBIO.HTM.
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| publisher | Johns Hopkins University Press
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| Access Paper
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| abstract | 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 subdivision 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.
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| KSL Technical Report ID: KSL-92-55
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Facts about Automated Reasoning for Biology and MedicineRDF feed
| Abstract | During the last decade, computer scientist … 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 subdivision 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. ated research over the last three decades. |
| Author | Eric Horvitz + |
| Bibtype | article + |
| Has author | Eric Horvitz + |
| Has identifier | KSL-92-55 + |
| Has publishing details | ,,1993 + |
| Has title | Automated Reasoning for Biology and Medicine + |
| Has where published | Advances in Computer Methods for Systematic Biology: Artificial Intelligence, Databases, and Computer Vision + |
| Has year | 1993 + |
| Journal | Advances in Computer Methods for Systematic Biology: Artificial Intelligence, Databases, and Computer Vision + |
| Ksl tr id | KSL-92-55 + |
| Note | Postscript for this article is available at http://www.research.microsoft.com/research/dtg/horvitz/AIBIO.HTM. |
| Process note | GOOGLE + |
| Publisher | Johns Hopkins University Press + |
| Title | Automated Reasoning for Biology and Medicine + |
| Year | 1993 + |
