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SCIENCE STUDIES EVENTS
A DEFEASIBLE REASONING MODEL OF SCIENTIFIC CHANGE
Claudio Delrieux
Universidad Nacional del Sur
Bahia Blanca, Argentina
November 25, 2002
Monday, 12:30pm
Preston Seminar Room
Defeasible reasoning is concerned with finding warrant for sentences in
contexts of incomplete information. In recent years, argumentative
reasoning established itself in Artificial Intelligence as a
characterization of defeasible reasoning that remedied both the formal
difficulties and the computational limitations that pervaded earlier
formalizations. Therefore, it plays a major role in most theoretical and
computational applications. This approach to reasoning with incomplete
information by means of ampliative procedure becomes clearly fruitful in
modeling scientific change and other patterns of scientific reasoning as a
special case of argument generation and assessment. We will sketch how our
system may represent scientific research methodologies, in particular the
research programs of Imre Lakatos, the positive and negative heuristics,
the idea of empirical progress, and the comparative success of research
programs.
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