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A New Epistemic Fluent within the Situation Calculus using Linguistic Variables

机译:语言变量在情境演算中的新认识流利

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An alternative epistemic fluent is proposed to solve the important issues of reasoning and sensing in intelligent control for autonomous agents. The approach treats interval valued fluents within the situation calculus John Funge proposed as linguistic variables, the members of which are fuzzy sets defined on the interval. The new approach can integrate discrete-valued epistemic fluents with continuous valued epistemic fluents and make cognitive model of autonomous agent much simple. The paper describes how to represent non-deterministic actions in the situation calculus based on epistemic fluent K and how to solve the potentially uncountable number of possible worlds in agent sensing by using this new approach. Finally the new approach was applied to create autonomous characters which can counteract with player characters in game Quake 2.
机译:提出了另一种认知流利度,以解决自主智能体控制中推理和感知的重要问题。该方法将情景演算John Funge提出的区间值流利视为语言变量,其成员是在区间上定义的模糊集。新方法可以将离散值的认知流利与连续值的认知流利集成在一起,并使自治主体的认知模型变得更加简单。本文介绍了如何在基于认知流利K的情境演算中表示非确定性动作,以及如何通过使用这种新方法来解决智能体感测中可能存在的不可计数数量的可能世界。最后,新方法被用于创建可以与游戏Quake 2中的玩家角色抵消的自主角色。

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