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  1. The Processes of Scientific Discovery: The Strategy of Experimentation.Deepak Kulkarni & Herbert A. Simon - 1988 - Cognitive Science 12 (2):139-175.
    Hans Krebs' discovery, in 1932, of the urea cycle was a major event in biochemistry. This article describes a program, KEKADA, which models the heuristics Hans Krebs used in this discovery. KEKADA reacts to surprises, formulates explanations, and carries out experiments in the same manner as the evidence in the form of laboratory notebooks and interviews indicates Hans Krebs did. Furthermore, we answer a number of questions about the nature of the heuristics used by Krebs, in particular: How domain‐specific are (...)
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  • Simulation and evaluation of chemical synthesis—SECS: An application of artificial intelligence techniques.W. Todd Wipke, Glenn I. Ouchi & S. Krishnan - 1978 - Artificial Intelligence 11 (1-2):173-193.
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  • Normative systems of discovery and logic of search.Jan M. Zytkow & Herbert A. Simon - 1988 - Synthese 74 (1):65 - 90.
    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 (...)
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