Computational Models of Emotion-Relevant Reasoning (collaborative Proposal)

这项研究涉及一系列的建设， 情感相关常识推理的计算模型 现象。 能够进行推理的计算机程序， 构建解释，并学习认知原因， 情感将被构建。 这些计算机模型将基于 情绪理论描述了情绪何时产生 为什么，以及可能的后果是什么。 校长 研究人员将开发一种人工智能系统， 动机并产生关于情绪的合理解释- 相关现象。 该系统将通过比较 它产生的解释与人们创造的解释， 让人们评估 自动构建的解释。

This research involves the construction of a series of computational models of common-sense reasoning about emotion-related phenomena. Computer programs capable of making inferences, constructing explanations, and learning about cognitive causes of emotions will be constructed. These computer models will be based on a theory of emotion that describes when emotions might arise, why, and what their likely consequences are. The principal investigator will develop an AI system that can reason about motivation and generate plausible explanations about emotion- relevant phenomena. The system will be validated by comparing the explanations it produces with explanations created by people and by having people evaluate the plausibility and coherence of the automatically constructed explanations.