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Titlebook: Agents and Artificial Intelligence; 11th International C Jaap van den Herik,Ana Paula Rocha,Luc Steels Conference proceedings 2019 Springer

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https://doi.org/10.1057/9780230509818We propose a neural hidden Markov models to compute the transition probabilities of higher-order hidden Markov model by a neural network and reduce the cost of computation. It is applied for time-aware recommender systems to show the benefits from the hybrid of combining neural network and hidden Ma
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Reports from Contemporary Businesserving multi-agent planning, where multiple agents plan for a common goal but with private information they do not want to disclose. Heuristic search is the dominant technique used in MAP and therefore it is not surprising that a significant attention has been paid to distributed heuristic computati
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https://doi.org/10.1057/9780230509818ded belief. Based on Public Announcement Logic, we define our logic, Logic Of Narrow-minded belief (LON), as that which includes such belief. Semantics for LON is provided by the Kripke-style semantics, and using this semantics, we formally analyze the mental state of the hero of Shakespeare’s trage
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https://doi.org/10.1057/9780230509818nts and to improve the productivity in shield tunneling, a widely used tunnel construction method. This study considers the amount of soil excavated along a tunnel composed of the segments as an objective, and the deviation limit as constraints. In this problem, a feasible solution can be easily fou
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Culture and Power in England, 1585–1685mputational expensive as it requires to solve an NP-hard shunting planning problem. Currently, NS uses a shunt plan simulator where a local search heuristic is implemented to determine such capacities..In this paper, we study how to combine machine learning with local search in order to speed up fin
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