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  1. How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment.Benjamin Eva, Katja Ried, Thomas Müller & Hans J. Briegel - 2023 - Minds and Machines 33 (1):185-219.
    According to a mainstream position in contemporary cognitive science and philosophy, the use of abstract compositional concepts is amongst the most characteristic indicators of meaningful deliberative thought in an organism or agent. In this article, we show how the ability to develop and utilise abstract conceptual structures can be achieved by a particular kind of learning agent. More specifically, we provide and motivate a concrete operational definition of what it means for these agents to be in possession of abstract concepts, (...)
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  • Behavioural Explanation in the Realm of Non-mental Computing Agents.Bernardo Aguilera - 2015 - Minds and Machines 25 (1):37-56.
    Recently, many philosophers have been inclined to ascribe mentality to animals on the main grounds that they possess certain complex computational abilities. In this paper I contend that this view is misleading, since it wrongly assumes that those computational abilities demand a psychological explanation. On the contrary, they can be just characterised from a computational level of explanation, which picks up a domain of computation and information processing that is common to many computing systems but is autonomous from the domain (...)
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