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  1. Extending Ourselves: Computational Science, Empiricism, and Scientific Method.Paul Humphreys - 2004 - New York, US: Oxford University Press.
    Computational methods such as computer simulations, Monte Carlo methods, and agent-based modeling have become the dominant techniques in many areas of science. Extending Ourselves contains the first systematic philosophical account of these new methods, and how they require a different approach to scientific method. Paul Humphreys draws a parallel between the ways in which such computational methods have enhanced our abilities to mathematically model the world, and the more familiar ways in which scientific instruments have expanded our access to the (...)
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  • The Architecture of Complexity.Herbert A. Simon - 1962 - Proceedings of the American Philosophical Society 106.
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  • Arguments concerning representations for mental imagery.John R. Anderson - 1978 - Psychological Review (4):249-277.
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  • The nature and plausibility of cognitivism.John Haugeland - 1978 - Behavioral and Brain Sciences 1 (2):215-26.
    Cognitivism in psychology and philosophy is roughly the position that intelligent behavior can (only) be explained by appeal to internal that is, rational thought in a very broad sense. Sections 1 to 5 attempt to explicate in detail the nature of the scientific enterprise that this intuition has inspired. That enterprise is distinctive in at least three ways: It relies on a style of explanation which is different from that of mathematical physics, in such a way that it is not (...)
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  • (1 other version)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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  • (2 other versions)Languages of Art: An Approach to a Theory of Symbols.Nelson Goodman - 1971 - British Journal for the Philosophy of Science 22 (2):187-198.
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  • 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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  • A Mathematical Theory of Communication.Claude Elwood Shannon - 1948 - Bell System Technical Journal 27 (April 1924):379–423.
    The mathematical theory of communication.
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  • (1 other version)When is information explicitly represented?David Kirsh - 1990 - In Philip P. Hanson (ed.), Information, Language and Cognition. University of British Columbia Press.
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  • The Presence of a Symbol.Andy Clark - unknown
    The image of the presence of symbols in an inner code pervades recent debates in cognitive science. Classicists worship in the presence. Connectionists revel in the absence. However, the very ideas of code and symbol are ill understood. A major distorting factor in the debates concerns the role of processing in determining the presence or absence of a stuctured inner code. Drawing on work by David Kirsh and David Chambers, the present paper attempts to re-define such notions to begin to (...)
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  • Knowing with images: Medium and message.John Kulvicki - 2010 - Philosophy of Science 77 (2):295-313.
    Problems concerning scientists’ uses of representations have received quite a bit of attention recently. The focus has been on how such representations get their contents and on just what those contents are. Less attention has been paid to what makes certain kinds of scientific representations different from one another and thus well suited to this or that epistemic end. This article considers the latter question with particular focus on the distinction between images and graphs on the one hand and descriptions (...)
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  • Representing with imaginary models: Formats matter.Marion Vorms - 2011 - Studies in History and Philosophy of Science Part A 42 (2):287-295.
    Models such as the simple pendulum, isolated populations, and perfectly rational agents, play a central role in theorising. It is now widely acknowledged that a study of scientific representation should focus on the role of such imaginary entities in scientists’ reasoning. However, the question is most of the time cast as follows: How can fictional or abstract entities represent the phenomena? In this paper, I show that this question is not well posed. First, I clarify the notion of representation, and (...)
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  • (1 other version)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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  • Of Models and Machines: Implementing Bounded Rationality.Stephanie Dick - 2015 - Isis 106 (3):623-634.
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  • 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.
    This research aims to clarify, by constructing and testing a computer simulation, the use of multiple representations in problem solving, focusing on their role in visual reasoning. The model is motivated by extensive experimental evidence in the literature for the features it incorporates, but this article focuses on the system's structure. We illustrate the model's behavior by simulating the cognitive and perceptual processes of an economics expert as he teaches some well‐learned economics principles while drawing a graph on a blackboard. (...)
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  • AI and the Origins of the Functional Programming Language Style.Mark Priestley - 2017 - Minds and Machines 27 (3):449-472.
    The Lisp programming language is often described as the first functional programming language and also as an important early AI language. In the history of functional programming, however, it occupies a rather anomalous position, as the circumstances of its development do not fit well with the widely accepted view that functional languages have been developed through a theoretically-inspired project of deriving practical programming languages from the lambda calculus. This paper examines the origins of Lisp in the early AI programming work (...)
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