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SURPRJSINGNESS AND EXPECTATION FAILURE: WHATS THE DIFFERENCE?

机译:惊人和期望失败:什么区别?

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Intelligent systems operate in the midst of a superabundance of information lacking the tags that indicate which few aspects are significant to the particular problems at hand at any given time and place. Given this wealth of information coupled with real-time processing constraints, selective attention is fundamental to any chance of success. In much of cognitive science, attentional focus is linked with the concept of expectation generation and failure. Unfortunately, research in AI has to finesse the problem of selective attention, although sometimes recognizing it as an important component of the frame problem (e.g., Schank, 1979; 1982).
机译:智能系统在缺乏标签的信息中间的中间操作,表示在任何给定的时间和地点的手中的特定问题中有哪些方面是重要的。鉴于与实时处理约束相结合的大量信息,有选择性关注是任何成功机会的基础。在许多认知科学中,注意力焦点与期望生成和失败的概念有关。不幸的是,AI的研究必须实现选择性关注的问题,尽管有时将其作为框架问题的重要组成部分(例如,Schank,1979; 1982)。

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