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- W3005129501 abstract "Monte-Carlo Tree Search (MCTS) is a heuristic to searchin large trees. We apply it to argumentative puzzles where MCTS pursues the best argumentation with respect to a set of arguments to be argued. To make our ideas as widely applicable as possible, we integrate MCTS to an abstract setting for argumentation where the content of arguments is left unspecified. Experimental results show the pertinenceof this integration for learning argumentations by comparing it with a basic reinforcement learning." @default.
- W3005129501 created "2020-02-14" @default.
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- W3005129501 date "2014-01-01" @default.
- W3005129501 modified "2023-09-29" @default.
- W3005129501 title "A Monte-Carlo tree search in argumentation" @default.
- W3005129501 hasPublicationYear "2014" @default.
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