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Computational models for intention handling

意图处理的计算模型

基本信息

批准号：
889-2007
负责人：
Elio, Renée
金额：
$ 1.46万
依托单位：
University of Alberta
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2007
资助国家：
加拿大
起止时间：
2007-01-01 至 2008-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=365614
关键词：
Computational models intention handling

项目摘要

The research is concerned with expanding the scope of computational cognitive theories to understand the human executive control function, or what might be viewed as the 'human operating system.' One basic question is how the human brain sets a future-directed intention: a decision to execute some action at a future time (such as remembering to buy milk at the end of the day) and the subsequent execution that activity, if and when environmental cues signal that conditions are appropriate to do so. The role of intentions in computational theories of intelligence is to direct attention and reasoning resources. This research develops cognitive theories, based on computer simulations and laboratory experiments, about how intentions are represented and manipulated by the human cognitive architecture. This has practical implications for understanding how humans can do several tasks concurrently. Understanding the cognitive microstructure that supports future-directed intentions is relevant to various cognitive engineering efforts, e.g., for the design of systems that support human performance in dynamic environments in which tasks are interrupted and then must be resumed after some appropriate time or when the environment changes. Interrupted tasks can be viewed as a future directed intention to resume an activity,and it is important to understand what kinds of factors impact whether or not such an intention is likely to be remembered and executed successfully.

这项研究关注的是扩大计算认知理论的范围，以了解人类的执行控制功能，或者可以被视为“人类操作系统”。“一个基本的问题是，人类大脑如何设定一个面向未来的意图：决定在未来的某个时间执行某个行动（例如记住在一天结束时买牛奶），以及随后执行该活动，如果环境提示信号表明条件适合这样做。意图在智能计算理论中的作用是引导注意力和推理资源。本研究基于计算机模拟和实验室实验，发展了关于人类认知结构如何表示和操纵意图的认知理论。这对于理解人类如何同时完成多项任务具有实际意义。理解支持未来导向意图的认知微观结构与各种认知工程努力相关，例如，用于设计在动态环境中支持人类表现的系统，在动态环境中，任务被中断，然后必须在某个适当的时间后或当环境改变时恢复。中断的任务可以被看作是一个未来的定向意图恢复活动，重要的是要了解什么样的因素影响这种意图是否可能被记住和成功执行。