Reconstructing an Agent's Epistemic State from Observations
Reconstructing an Agent's Epistemic State from Observations
复制标题
从观察中重建智能体的认知状态
DOI：
10.1093/logcom/exm091
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Alexander Nittka
中科院分区：
文献类型：
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作者：
R. Booth;Alexander Nittka
我们看看在信念修正的问题，试图作出推理代理相信-或将相信-在给定的时刻，根据观察代理如何响应一些序列的先前的信念修正输入随着时间的推移。我们采用“逆向工程”的方法来解决这个问题。假设一个框架迭代信念修订是基于序列，我们构建了一个模型的代理，“最好地解释”的观察。进一步考虑这个最好的解释模型，然后允许推理代理的认知行为。我们还提供了一个算法，计算这个最好的解释。
We look at the problem in belief revision of trying to make inferences about what an agent believed - or will believe - at a given moment, based on an observation of how the agent has responded to some sequence of previous belief revision inputs over time. We adopt a "reverse engineering" approach to this problem. Assuming a framework for iterated belief revision which is based on sequences, we construct a model of the agent that "best explains" the observation. Further considerations on this best-explaining model then allow inferences about the agent's epistemic behaviour to be made. We also provide an algorithm which computes this best explanation.