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  1.  8
    Anna-Mari Rusanen & Otto Lappi (forthcoming). On Computational Explanations. Synthese:1-19.
    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. Otto Lappi & Anna-Mari Rusanen (2011). Turing Machines and Causal Mechanisms in Cognitive Science. In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press 224--239.
     
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  3.  34
    Otto Lappi & Anna-Mari Rusanen, Models as Information Carrying Artifacts.
    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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    Anna-Mari Rusanen & Otto Lappi, Scientific Models as Information Carrying Artifacts.
    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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    Anna-Mari Rusanen & Otto Lappi (2012). An Information Semantic Account of Scientific Models. In Henk W. de Regt (ed.), Epsa Philosophy of Science: Amsterdam 2009. Springer 315--327.
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  6. Anna-Mari Rusanen & Samuli Poyhonen (2012). Concepts in Change. Science and 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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