Scientific discovery based on belief revision
Journal of Symbolic Logic 62 (4):1352-1370 (1997)
| Abstract | Scientific inquiry is represented as a process of rational hypothesis revision in the face of data. For the concept of rationality, we rely on the theory of belief dynamics as developed in [5, 9]. Among other things, it is shown that if belief states are left unclosed under deductive logic then scientific theories can be expanded in a uniform, consistent fashion that allows inquiry to proceed by any method of hypothesis revision based on "kernel" contraction. In contrast, if belief states are closed under logic, then no such expansion is possible | |||||||||
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Abhaya C. Nayak, Paul Nelson & Hanan Polansky (1996). Belief Change as Change in Epistemic Entrenchment. Synthese 109 (2):143 - 174.
John Cantwell (2006). A Formal Model of Multi-Agent Belief-Interaction. Journal of Logic, Language and Information 15 (4).
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Adnan Darwiche & Judea Pearl (1997). On the Logic of Iterated Belief Revision. Artificial Intelligence 89:1-29.
Giacomo Bonanno (2008). Belief Revision in a Temporal Framework. In Krzysztof Apt & Robert van Rooij (eds.), New Perspectives on Games and Interaction. Amsterdam University Press.
Eric Martin & Daniel Osherson (2000). Scientific Discovery on Positive Data Via Belief Revision. Journal of Philosophical Logic 29 (5):483-506.
John L. Pollock & Anthony S. Gillies (2000). Belief Revision and Epistemology. Synthese 122 (1-2):69-92.
Sven Ove Hansson, Eduardo Leopoldo Fermé, John Cantwell & Marcelo Alejandro Falappa (2001). Credibility Limited Revision. Journal of Symbolic Logic 66 (4):1581-1596.
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