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Titlebook: A Theory of Heuristic Information in Game-Tree Search; Chun-Hung Tzeng Book 1988 Springer-Verlag Berlin Heidelberg 1988 Conditional probab

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Ausbreitung elektromagnetischer Wellen,re introduced first. These games are represented by special graphs, called game graphs. If nodes representing the same game position in a conventional game tree are merged into only one node, then the merged graph is called a game graph. Two examples are used to clarify the discussion.
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https://doi.org/10.1007/978-3-662-26691-5ed on estimates of possible next moves. These estimates are derived by backing up original estimates at search-tip nodes returned by a static evaluation function. From this conventional approach, we develop in this chapter a general theory of decision making based on heuristic information.
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,Meßtechnik zur Bestimmung der Polarisation,ules, and a control system. Because of the intractability of uninformed search procedures, the use of heuristic information is necessary in most searching processes of AI systems. This important concept of heuristic information is the central topic of this book. We first use the 8-puzzle and the gam
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Ausbreitung elektromagnetischer Wellen,re introduced first. These games are represented by special graphs, called game graphs. If nodes representing the same game position in a conventional game tree are merged into only one node, then the merged graph is called a game graph. Two examples are used to clarify the discussion.
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https://doi.org/10.1007/978-3-642-48930-3 are two probabilistic game models. A probabilistic game model is a space of zero-sum two-person perfect information games such that all of the games in the space have the same fixed game graph (or tree) and the values on leaves are assigned according to a fixed distribution. Because of this probabi
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Ausbreitung elektromagnetischer Wellen,s returned by a static evaluation function at search-tip nodes. A static evaluation function is primarily used to estimate the strength of a node. However, the notion of node strength relies mostly on heuristic and intuition and usually does not have a precise formulation. Since the minimax value is
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