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Anna-Mari Rusanen
University of Helsinki
  1.  50
    On Computational Explanations.Anna-Mari Rusanen & Otto Lappi - 2016 - Synthese 193 (12):3931-3949.
    Computational explanations focus on information processing required in specific cognitive capacities, such as perception, reasoning or decision-making. These explanations specify the nature of the information processing task, what information needs to be represented, and why it should be operated on in a particular manner. In this article, the focus is on three questions concerning the nature of computational explanations: What type of explanations they are, in what sense computational explanations are explanatory and to what extent they involve a special, “independent” (...)
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  2.  75
    Making Too Many Enemies: Hutto and Myin’s Attack on Computationalism.Jesse Kuokkanen & Anna-Mari Rusanen - 2018 - Philosophical Explorations 21 (2):282-294.
    We analyse Hutto & Myin's three arguments against computationalism [Hutto, D., E. Myin, A. Peeters, and F. Zahnoun. Forthcoming. “The Cognitive Basis of Computation: Putting Computation In Its Place.” In The Routledge Handbook of the Computational Mind, edited by M. Sprevak, and M. Colombo. London: Routledge.; Hutto, D., and E. Myin. 2012. Radicalizing Enactivism: Basic Minds Without Content. Cambridge, MA: MIT Press; Hutto, D., and E. Myin. 2017. Evolving Enactivism: Basic Minds Meet Content. Cambridge, MA: MIT Press]. The Hard Problem (...)
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  3.  11
    Concepts in Change.Anna-Mari Rusanen & Samuli Pöyhönen - 2013 - Science & Education 22 (6):1389–1403.
    In this article we focus on the concept of concept in conceptual change. We argue that (1) theories of higher learning must often employ two different notions of concept that should not be conflated: psychological and scientific concepts. The usages for these two notions are partly distinct and thus straightforward identification between them is unwarranted. Hence, the strong analogy between scientific theory change and individual learning should be approached with caution. In addition, we argue that (2) research in psychology and (...)
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  4.  1
    Concepts in Change.Anna-Mari Rusanen & Samuli Pöyhönen - 2013 - Science & Education 22 (6):1389-1403.
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  5. Turing Machines and Causal Mechanisms in Cognitive Science.Otto Lappi & Anna-Mari Rusanen - 2011 - In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press. pp. 224--239.
     
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  6.  2
    Towards to An Explanation for Conceptual Change: A Mechanistic Alternative.Anna-Mari Rusanen - 2014 - Science & Education 23 (7):1413-1425.
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  7.  46
    Scientific Models as Information Carrying Artifacts.Anna-Mari Rusanen & Otto Lappi - unknown
    We present an information theoretic account of models as scientific representations, where scientific models are understood as information carrying artifacts. We propose that the semantics of models should be based on this information coupling of the model to the world. The information theoretic account presents a way of avoiding the need to refer to agents' intentions as constitutive of the semantics of scientific representations, and it provides a naturalistic account of model semantics, which can deal with the problems of asymmetry, (...)
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  8.  52
    Models as Information Carrying Artifacts.Otto Lappi & Anna-Mari Rusanen - unknown
    In science, models are used in many different ways: to test empirical hypotheses, to help in theory formation, to visualize data, and so on. Scientists construct and study the behavior of models, and compare this to observed behavior of a target system. We propose that for this to be possible models must carry information about their targets. When models are viewed as information carrying entities, this property can be used as a foundation for a representational theory of models. This account (...)
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  9.  5
    An Information Semantic Account of Scientific Models.Anna-Mari Rusanen & Otto Lappi - 2012 - In Henk W. de Regt (ed.), Epsa Philosophy of Science: Amsterdam 2009. Springer. pp. 315--327.