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Herbert A. Simon [99]H. Simon [9]H. A. Simon [8]Heinrich Simon [7]
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  1.  71
    The sciences of the artificial.Herbert Alexander Simon - 1969 - [Cambridge,: M.I.T. Press.
    Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial ...
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  2. The Architecture of Complexity.Herbert A. Simon - 1962 - Proceedings of the American Philosophical Society 106.
     
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  3.  99
    Rational choice and the structure of the environment.Herbert A. Simon - 1956 - Psychological Review 63 (2):129-138.
  4.  76
    Reason in Human Affairs.Herbert A. Simon - 1983 - Stanford, Calif.: Stanford University Press.
    What can reason do for us and what can't it do? This is the question examined by Herbert A. Simon, who received the 1978 Nobel Prize in Economic Sciences "for his pioneering work on decision-making processes in economic organizations." The ability to apply reason to the choice of actions is supposed to be one of the defining characteristics of our species. In the first two chapters, the author explores the nature and limits of human reason, comparing and evaluating the major (...)
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  5. Verbal reports as data.K. Anders Ericsson & Herbert A. Simon - 1980 - Psychological Review 87 (3):215-251.
  6. Computer Science as Empirical Inquiry: Symbols and Search.Allen Newell & H. A. Simon - 1976 - Communications of the Acm 19:113-126.
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  7. Computer science as empirical inquiry: Symbols and search.Allen Newell & Herbert A. Simon - 1981 - Communications of the Association for Computing Machinery 19:113-26.
  8. Elements of a theory of human problem solving.Allen Newell, J. C. Shaw & Herbert A. Simon - 1958 - Psychological Review 65 (3):151-166.
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  9.  73
    Why a Diagram is (Sometimes) Worth Ten Thousand Words.Jill H. Larkin & Herbert A. Simon - 1987 - Cognitive Science 11 (1):65-100.
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  10.  51
    Motivational and emotional controls of cognition.Herbert A. Simon - 1967 - Psychological Review 74 (1):29-39.
  11.  65
    Why a diagram is (sometimes) worth 10, 000 word.Jill H. Larkin & Herbert A. Simon - 1987 - Cognitive Science 11 (1):65-99.
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  12.  49
    The structure of ill structured problems.Herbert A. Simon - 1973 - Artificial Intelligence 4 (3-4):181--201.
  13. Situated action: A symbolic interpretation.A. H. Vera & Herbert A. Simon - 1993 - Cognitive Science 17 (1):7-48.
  14.  40
    Cognitive Science: The Newest Science of the Artificial.Herbert A. Simon - 1980 - Cognitive Science 4 (1):33-46.
    Cognitive science is, of course, not really a new discipline, but a recognition of a fundamental set of common concerns shared by the disciplines of psychology, computer science, linguistics, economics, epistemology, and the social sciences generally. All of these disciplines are concerned with information processing systems, and all of them are concerned with systems that are adaptive—that are what they are from being ground between the nether millstone of their physiology or hardware, as the case may be, and the upper (...)
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  15.  42
    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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  16.  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.
  17.  51
    Models of Competence in Solving Physics Problems.Jill H. Larkin, John McDermott, Dorothea P. Simon & Herbert A. Simon - 1980 - Cognitive Science 4 (4):317-345.
    We describe a set of two computer‐implemented models that solve physics problems in ways characteristic of more and less competent human solvers. The main features accounting for different competences are differences in strategy for selecting physics principles, and differences in the degree of automation in the process of applying a single principle. The models provide a good account of the order in which principles are applied by human solvers working problems in kinematics and dynamics. They also are sufficiently flexible to (...)
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  18.  14
    Cognitive science: The newest science of the artificial.Herbert A. Simon - 1980 - Cognitive Science 4 (1):33-46.
    Cognitive science is, of course, not really a new discipline, but a recognition of a fundamental set of common concerns shared by the disciplines of psychology, computer science, linguistics, economics, epistemology, and the social sciences generally. All of these disciplines are concerned with information processing systems, and all of them are concerned with systems that are adaptive—that are what they are from being ground between the nether millstone of their physiology or hardware, as the case may be, and the upper (...)
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  19.  16
    Human acquisition of concepts for sequential patterns.Herbert A. Simon & Kenneth Kotovsky - 1963 - Psychological Review 70 (6):534-546.
  20.  46
    Laboratory Replication of Scientific Discovery Processes.Yulin Qin & Herbert A. Simon - 1990 - Cognitive Science 14 (2):281-312.
    Fourteen subjects were tape‐recorded while they undertook to find a law to summarize numerical data they were given. The source of the data was not identified, nor were the variables labeled semantically. Unknown to the subjects, the data were measurements of the distances of the planets from the sun and the periods of their revolutions about it—equivalent to the data used by Johannes Kepler to discover his third law of planetary motion.Four of the 14 subjects discovered the same law as (...)
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  21.  91
    The theory of learning by doing.Yuichiro Anzai & Herbert A. Simon - 1979 - Psychological Review 86 (2):124-140.
  22. Does scientific discovery have a logic?Herbert A. Simon - 1973 - Philosophy of Science 40 (4):471-480.
    It is often claimed that there can be no such thing as a logic of scientific discovery, but only a logic of verification. By 'logic of discovery' is usually meant a normative theory of discovery processes. The claim that such a normative theory is impossible is shown to be incorrect; and two examples are provided of domains where formal processes of varying efficacy for discovering lawfulness can be constructed and compared. The analysis shows how one can treat operationally and formally (...)
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  23.  49
    Situated Action: Reply to William Clancey.Alonso H. Vera & Herbert A. Simon - 1993 - Cognitive Science 17 (1):117-133.
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  24.  31
    EPAM‐like Models of Recognition and Learning.Edward A. Feigenbaum & Herbert A. Simon - 1984 - Cognitive Science 8 (4):305-336.
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  25.  24
    Five Seconds or Sixty? Presentation Time in Expert Memory.Fernand Gobet & Herbert A. Simon - 2000 - Cognitive Science 24 (4):651-682.
    For many years, the game of chess has provided an invaluable task environment for research on cognition, in particular on the differences between novices and experts and the learning that removes these differences, and upon the structure of human memory and its paramaters. The template theory presented by Gobet and Simon based on the EPAM theory offers precise predictions on cognitive processes during the presentation and recall of chess positions. This article describes the behavior of CHREST, a computer implementation of (...)
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  26. Why a diagram is (sometimes) worth a thousand words….J. Takrkin & H. A. Simon - 1987 - Cognitive Science 1:l.
     
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  27.  54
    Collaborative discovery in a scientific domain.Takeshi Okada & Herbert A. Simon - 1997 - Cognitive Science 21 (2):109-146.
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  28. The Logic Theory Machine -- A Complex Information Processing System.Allen Newell & Herbert A. Simon - 1956 - IRE Transactions on Information Theory 2 (3):61--79.
     
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  29. Cause and counterfactual.Herbert A. Simon & Nicholas Rescher - 1966 - Philosophy of Science 33 (4):323-340.
    It is shown how a causal ordering can be defined in a complete structure, and how it is equivalent to identifying the mechanisms of a system. Several techniques are shown that may be useful in actually accomplishing such identification. Finally, it is shown how this explication of causal ordering can be used to analyse causal counterfactual conditionals. First the counterfactual proposition at issue is articulated through the device of a belief-contravening supposition. Then the causal ordering is used to provide modal (...)
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  30.  25
    Scientific Discovery as Problem Solving.Herbert A. Simon, Patrick W. Langley & Gary L. Bradshaw - 1981 - Synthese 47 (1):1-27.
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  31. Models of Discovery, and Other Topics in the Methods of Science.Herbert A. Simon - 1979 - British Journal for the Philosophy of Science 30 (3):293-297.
     
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  32. The Logic Theory Machine. A Complex Information Processing System.Allen Newell & Herbert A. Simon - 1957 - Journal of Symbolic Logic 22 (3):331-332.
  33.  11
    Complexity and the representation of patterned sequences of symbols.Herbert A. Simon - 1972 - Psychological Review 79 (5):369-382.
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  34. Scientific discovery as problem solving.Herbert A. Simon, Patrick W. Langley & Gary L. Bradshaw - 1981 - Synthese 47 (1):3 – 14.
  35.  19
    Causality in device behavior.Yumi Iwasaki & Herbert A. Simon - 1986 - Artificial Intelligence 29 (1):3-32.
  36.  18
    Simulation of expert memory using EPAM IV.Howard B. Richman, James J. Staszewski & Herbert A. Simon - 1995 - Psychological Review 102 (2):305-330.
  37.  33
    Causality and model abstraction.Yumi Iwasaki & Herbert A. Simon - 1994 - Artificial Intelligence 67 (1):143-194.
  38. On the definition of the causal relation.Herbert A. Simon - 1952 - Journal of Philosophy 49 (16):517-528.
  39.  71
    The axiomatization of physical theories.Herbert A. Simon - 1970 - Philosophy of Science 37 (1):16-26.
    The task of axiomatizing physical theories has attracted, in recent years, some interest among both empirical scientists and logicians. However, the axiomatizations produced by either one of these two groups seldom appear satisfactory to the members of the other. It is the purpose of this paper to develop an approach that will satisfy the criteria of both, hence permit us to construct axiomatizations that will meet simultaneously the standards and needs of logicians and of empirical scientists.
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  40.  18
    Optimal problem-solving search: All-or-none solutions.Herbert A. Simon & Joseph B. Kadane - 1975 - Artificial Intelligence 6 (3):235-247.
  41.  96
    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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  42.  26
    Information-processing analysis of perceptual processes in problem solving.Herbert A. Simon & Michael Barenfeld - 1969 - Psychological Review 76 (5):473-483.
  43. Machine as mind.Herbert A. Simon - 1995 - In Peter Millican & Andy Clark (eds.), Android Epistemology. Cambridge: MIT Press.
  44. Ramsey eliminability and the testability of scientific theories.Herbert A. Simon & Guy J. Groen - 1973 - British Journal for the Philosophy of Science 24 (4):367-380.
  45. On the forms of mental representation.Herbert A. Simon - 1978 - In W. Savage (ed.), Perception and Cognition. University of Minnesota Press. pp. 9--3.
  46.  38
    CaMeRa: A computational model of multiple representations.Hermina J. M. Tabachneck-Schijf, Anthony M. Leonardo & Herbert A. Simon - 1997 - Cognitive Science 21 (3):305-350.
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  47.  18
    On Human Communication.Models of Man.Colin Cherry & Herbert A. Simon - 1958 - Philosophy and Phenomenological Research 18 (4):549-550.
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  48.  14
    Artificial intelligence: an empirical science.Herbert A. Simon - 1995 - Artificial Intelligence 77 (1):95-127.
  49. The axiomatization of classical mechanics.Herbert A. Simon - 1954 - Philosophy of Science 21 (4):340-343.
    The purpose of this note is to examine a recent axiomatization of classical particle mechanics, and its relation to an alternative axiomatization I had earlier proposed. A comparison of the two proposals casts some interesting light on the problems of operationalism in classical celestial mechanics.1. Comparison of the Two Axiomatizations. The basic differences between the two proposals arise from the nature of the undefined terms. Both systems take the set of particles, time, and position as primitive notions. Both systems assume (...)
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  50.  25
    Problem Solving in Semantically Rich Domains: An Example from Engineering Thermodynamics.R. Bhaskar & Herbert A. Simon - 1977 - Cognitive Science 1 (2):193-215.
    Recent research on human problem solving has largely focused on laboratory tasks that do not demand from the subject much prior, task‐related information. This study seeks to extend the theory of human problem solving to semantically richer domains that are characteristic of professional problem solving. We discuss the behavior of a single subject solving problems in chemical engineering thermodynamics. We use as a protocol‐encoding device a computer program called SAPA which also doubles as a theory of the subject's problem‐solving behavior. (...)
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