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  1. Greatest Surprise Reduction Semantics: An Information Theoretic Solution to Misrepresentation and Disjunction.D. E. Weissglass - 2020 - Philosophical Studies 177 (8):2185-2205.
    Causal theories of content, a popular family of approaches to defining the content of mental states, commonly run afoul of two related and serious problems that prevent them from providing an adequate theory of mental content—the misrepresentation problem and the disjunction problem. In this paper, I present a causal theory of content, built on information theoretic tools, that solves these problems and provides a viable model of mental content. This is the greatest surprise reduction theory of content, which identifies the (...)
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  • Using Logic to Evolve More Logic: Composing Logical Operators Via Self-Assembly.Travis LaCroix - forthcoming - British Journal for the Philosophy of Science.
    I consider how complex logical operations might self-assemble in a signalling-game context via composition of simpler underlying dispositions. On the one hand, agents may take advantage of pre-evolved dispositions; on the other hand, they may co-evolve dispositions as they simultaneously learn to combine them to display more complex behaviour. In either case, the evolution of complex logical operations can be more efficient than evolving such capacities from scratch. Showing how complex phenomena like these might evolve provides an additional path to (...)
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