David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Journal of Medicine and Philosophy 8 (1):77-97 (1983)
Human experts are the source of knowledge required to develop computer systems that perform at an expert level. Human beings are not, however, able to reliably express what they know. As a result, experts often develop non-authentic accounts of their own expertise. These accounts, here termed reconstructed methods of reasoning, lead to computer systems that perform at a high level of proficiency but have the disadvantage that they often do not reflect the heuristics and processing constraints of a system user. Reconstructed methods of reasoning are compared with authentic methods derived from the study of expert human behavior. Tests are proposed to establish the authenticity of reasoning methods and examples from medical diagnosis are used to illustrate how authentic methods of reasoning can be incorporated into an expert computer system. CiteULike Connotea Del.icio.us What's this?
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
David R. Shanks & Mark F. St John (1994). How Should Implicit Learning Be Characterized? Behavioral and Brain Sciences 17 (3):427-447.
Similar books and articles
Mirit Shamir, Lior Shamir & Mary H. Durfee (2007). The Application of Fuzzy Logic to the Precautionary Principle. Artificial Intelligence and Law 15 (4):411-427.
Rita C. Manning (1987). Why Sherlock Holmes Can't Be Replaced by an Expert System. Philosophical Studies 51 (January):19-28.
Jesús Cardeñosa & Pilar Lasala (1996). ARPO-2: An Expert System for Legal Advice on the Breach of Building Contracts. [REVIEW] Artificial Intelligence and Law 4 (2):133-156.
Hugo Mercier (2011). When Experts Argue: Explaining the Best and the Worst of Reasoning. [REVIEW] Argumentation 25 (3):313-327.
Roger M. Cooke (1986). Probabilistic Reasoning in Expert Systems Reconstructed in Probability Semantics. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:409 - 421.
Peter Hucklenbroich (1988). Problems of Nomenclature and Classification in Medical Expert Systems. Theoretical Medicine and Bioethics 9 (2).
Omar E. M. Khalil (1993). Artificial Decision-Making and Artificial Ethics: A Management Concern. [REVIEW] Journal of Business Ethics 12 (4):313 - 321.
Willard Downs & Kelley Ann Newton (1989). Legal Implications in Development and Use of Expert Systems in Agriculture. Journal of Agricultural and Environmental Ethics 2 (1):53-58.
Victor L. Yu (1983). Conceptual Obstacles in Computerized Medical Diagnosis. Journal of Medicine and Philosophy 8 (1):67-76.
Jeryl L. Mumpower & Thomas R. Stewart (1996). Expert Judgement and Expert Disagreement. Thinking and Reasoning 2 (2 & 3):191 – 212.
Added to index2010-08-14
Total downloads5 ( #219,641 of 1,096,702 )
Recent downloads (6 months)2 ( #162,598 of 1,096,702 )
How can I increase my downloads?