David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:17 - 32 (1986)
In this paper I discuss the nature of a broad class of biomedical theories which I have termed "middle-range theories." I define them and relate the nature of biomedical theorizing to other investigations, such as a recent inquiry by the National Academy of Sciences. I also suggest that some of the knowledge representation tools from artificial intelligence may give us a purchase on this type of biological theorizing, and try to show in a rather preliminary and exploratory manner by using the lac operon model of genetic control, what some of those AI applications, such as frames and semantic nets, might look like in this context. Finally, I suggest some difficulties, such as the non-monotonicity of reasoning, which such tools may generate.
|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
No citations found.
Similar books and articles
Gerard Casey (1988). Artificial Intelligence and Wittgenstein. Philosophical Studies 32:156-175.
Kenneth F. Schaffner (1993). Discovery and Explanation in Biology and Medicine. University of Chicago Press.
David Marr (1977). Artificial Intelligence: A Personal View. Artificial Intelligence 9 (September):37-48.
Shane Legg & Marcus Hutter (2007). Universal Intelligence: A Definition of Machine Intelligence. [REVIEW] Minds and Machines 17 (4):391-444.
Vincent Rialle (1995). Cognition and Decision in Biomedical Artificial Intelligence: From Symbolic Representation to Emergence. [REVIEW] AI and Society 9 (2-3):138-160.
Murat Aydede & Guven Guzeldere (2000). Consciousness, Intentionality, and Intelligence: Some Foundational Issues for Artificial Intelligence. Journal of Experimental and Theoretical Artificial Intelligence 12 (3):263-277.
Rajakishore Nath (2009). Philosophy of Artificial Intelligence: A Critique of the Mechanistic Theory of Mind. Universal Publishers.
Anand Kumar & Barry Smith (2003). The Unified Medical Language System and the Gene Ontology: Some Critical Reflections. In KI 2003: Advances in Artificial Intelligence.
Michał Tyburski (2009). Cyrkumskrypcja: formalizacja rozumowania niemonotonicznego w logice drugiego rzędu. Filozofia Nauki 1.
Jean-Gabriel Ganascia (2010). Epistemology of AI Revisited in the Light of the Philosophy of Information. Knowledge, Technology & Policy 23 (1-2):57-73.
Sabina Leonelli (2012). Classificatory Theory in Data-Intensive Science: The Case of Open Biomedical Ontologies. International Studies in the Philosophy of Science 26 (1):47 - 65.
Patrick J. Hayes, Kenneth M. Ford & J. R. Adams-Webber (1994). Human Reasoning About Artificial Intelligence. Journal of Experimental and Theoretical Artificial Intelligence 4:247-63.
Hans F. M. Crombag (1993). On the Artificiality of Artificial Intelligence. Artificial Intelligence and Law 2 (1):39-49.
Otto Neumaier (1987). A Wittgensteinian View of Artificial Intelligence. In Rainer P. Born (ed.), Artificial Intelligence. St Martin's Press 132--174.
Added to index2011-05-29
Total downloads6 ( #336,406 of 1,726,249 )
Recent downloads (6 months)3 ( #231,316 of 1,726,249 )
How can I increase my downloads?