1. Andrea Pozzali (2007). Can Tacit Knowledge Fit Into a Computer Model of Scientific Cognitive Processes? The Case of Biotechnology. Mind and Society 6 (2):211-224.
    This paper tries to express a critical point of view on the computational turn in philosophy by looking at a specific field of study: philosophy of science. The paper starts by briefly discussing the main contributions that information and communication technologies have given to the rising of computational philosophy of science, and in particular to the cognitive modelling approach. The main question then arises, concerning how computational models can cope with the presence of tacit knowledge in science. Would it be (...)
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  2. Andrea Pozzali (2007). Tacit Knowledge, Implicit Learning and Scientific Reasoning. Mind and Society 7 (2):227-237.
    The concept of tacit knowledge is widely used in social sciences to refer to all those knowledge that cannot be codified and have to be transferred by personal contacts. All this literature has been affected by two kind of biases : (1) the interest has been focused more on the result (tacit knowledge) than on the process (implicit learning); (2) tacit knowledge has been somehow reduced to physical skills or know-how; other possible forms of tacit knowledge have been neglected. These (...)
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  3. Riccardo Viale & Andrea Pozzali (2007). Cognitive Aspects of Tacit Knowledge and Cultural Diversity. In. In L. Magnani & P. Li (eds.), Model-Based Reasoning in Science, Technology, and Medicine. Springer. 229--244.
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