13 found
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  1.  24
    Scientific discovery.Pat Langley, Herbert A. Simon, Gary L. Bradshaw & Jan M. Zytkow - 1993 - In Alvin Goldman (ed.), Readings in Philosophy and Cognitive Science. Cambridge: MIT Press.
  2.  94
    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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  3.  45
    What Revisions Does Bootstrap Testing Need?Jan M. Żytkow - 1986 - Philosophy of Science 53 (1):101 - 109.
    Clark Glymour defined bootstrap-confirmation as a three-place relation: “Evidence E bootstrap confirms hypothesis H with respect to theory T.“ By an ingenious choice of examples, David Christensen has shown that Glymour's definition is satisfied in a class of cases in which confirmation seems to be highly counterintuitive. Responding to Christensen's criticism, Glymour revised his 1980 definition of bootstrap confirmation, by introducing an additional condition that rules out Christensen's counterexamples.
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  4.  9
    Data-driven approaches to empirical discovery.Pat Langley & Jan M. Zytkow - 1989 - Artificial Intelligence 40 (1-3):283-312.
  5. Sztuczna inteligencja. Zdrowy rozsądek i filozofia.Marek W. Bielecki & Jan M. Żytkow - 1989 - Studia Filozoficzne 289 (12).
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  6. Relacje Miedzy Teoriami a Rozwój Nauki.Wldyslw Krajewski, Elzbieta Pietruska-Madej, Jan M. Zytkow & Polska Akademia Nauk - 1978 - Zakld Narodowy Im. Ossoli Nskich.
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  7.  21
    Consciousness defies scientific and computational reduction.Jan M. Żytkow - 1998 - Foundations of Science 3 (1):83-101.
  8. Rola modeli w nauce.Jan M. Żytkow & Andrzej Lewenstam - 1989 - Studia Filozoficzne 289 (12).
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  9.  33
    Minds beyond brains and algorithms.Jan M. Zytkow - 1990 - Behavioral and Brain Sciences 13 (4):691-692.
  10.  28
    Machine discoverers: Transforming the spaces they explore.Jan M. Zytkow - 1994 - Behavioral and Brain Sciences 17 (3):557-558.
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  11.  14
    Scientific Modeling: A Multilevel Feedback Process.Jan M. Zytkow - 1999 - In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. pp. 311--325.
  12.  11
    Texting ECHO on historical data.Jan M. Zytkow - 1989 - Behavioral and Brain Sciences 12 (3):489-490.
  13.  40
    Creating a discoverer: Autonomous knowledge seeking agent. [REVIEW]Jan M. Zytkow - 1995 - Foundations of Science 1 (2):253-283.
    Construction of a robot discoverer can be treated as the ultimate success of automated discovery. In order to build such an agent we must understand algorithmic details of the discovery processes and the representation of scientific knowledge needed to support the automation. To understand the discovery process we must build automated systems. This paper investigates the anatomy of a robot-discoverer, examining various components developed and refined to a various degree over two decades. We also clarify the notion of autonomy of (...)
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