David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Synthese 74 (1):65 - 90 (1988)
New computer systems of discovery create a research program for logic and philosophy of science. These systems consist of inference rules and control knowledge that guide the discovery process. Their paths of discovery are influenced by the available data and the discovery steps coincide with the justification of results. The discovery process can be described in terms of fundamental concepts of artificial intelligence such as heuristic search, and can also be interpreted in terms of logic. The traditional distinction that places studies of scientific discovery outside the philosophy of science, in psychology, sociology, or history, is no longer valid in view of the existence of computer systems of discovery. It becomes both reasonable and attractive to study the schemes of discovery in the same way as the criteria of justification were studied: empirically as facts, and logically as norms.
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References found in this work BETA
Clark Glymour (1980). Theory and Evidence. Princeton University Press.
Jaakko Hintikka (1988). What is the Logic of Experimental Inquiry? Synthese 74 (2):173-90.
Pat Langley (1981). Data‐Driven Discovery of Physical Laws. Cognitive Science 5 (1):31-54.
Hans Reichenbach (1938). Experience and Prediction. University of Chicago Press.
Citations of this work BETA
Peter P. Kirschenmann (1991). Local and Normative Rationality of Science: The 'Content of Discovery' Rehabilitated. [REVIEW] Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 22 (1):61-72.
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