Locating generic tasks

Kieron O'Hara, Nigel Shadbolt
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引用次数: 13

Abstract

This paper contains a philosophical examination of the generic task methodology as developed by B. Chandrasekaran and others. Two phases in the evolution of this methodology are discerned. The earlier, "Platonic" phase resulted in a methodology in which the notions of "task" and "method" were very closely coupled. This led to a tension between two functions of generic tasks: the conceptualization of a task would ipso facto include some commitment to an AI method, but typically, the criteria for a task analysis are different from those for choosing an AI method. In the later phase of the generic task methodology, a generic task is to be seen as an analysis of a task, issuing in a task structure. The connection between tasks and the methods for their performance is loosened, but not severed. This entails that the same philosophical problems re-emerge, albeit in a less virulent form. If the task structure is to be seen as an analysis of the task, then that impairs its function as an AI methodology, and vice versa. This paper concludes with the setting out of a thoroughgoing anti-realist philosophy of mind which enables the generic task view to avoid many of these problems.

定位常规任务
本文对B.Chandrasekaran等人提出的一般任务方法论进行了哲学考察。这种方法的演变分为两个阶段。早期的“柏拉图”阶段产生了一种方法论,其中“任务”和“方法”的概念非常紧密地结合在一起。这导致了通用任务的两个功能之间的紧张关系:任务的概念化当然包括对人工智能方法的一些承诺,但通常情况下,任务分析的标准与选择人工智能方法不同。在通用任务方法的后期阶段,通用任务将被视为对任务的分析,在任务结构中发布。任务和执行方法之间的联系是放松的,但并没有切断。这意味着同样的哲学问题会再次出现,尽管其毒性较小。如果任务结构被视为对任务的分析,那么这会削弱其作为人工智能方法论的功能,反之亦然。本文最后提出了一种彻底的反现实主义的心灵哲学,使一般的任务观能够避免这些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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