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We present a method of formal description of the action semantics in smart objects. Smart objects were primarily used for behavioral animation in the past. We demonstrate, how a formally described semantics can be used for action planning purposes by intelligent agents trying to achieve a goal. The described approach also reduces the complexity of common planning approaches by reducing the amount of information the agent has to process.
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We study the proof theory and algorithms for orthologic, a logical system based on ortholattices, which have shown practical relevance in simplification and normalization of verification conditions. Ortholattices weaken Boolean algebras while having po ...