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首页> 外文会议>International and Interdisciplinary Conference on Modeling and Using Context(CONTEXT 2007); 20070820-24; Roskilde(DK) >Risk Context Effects in Inductive Reasoning: An Experimental and Computational Modeling Study
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Risk Context Effects in Inductive Reasoning: An Experimental and Computational Modeling Study

机译：归纳推理中的风险语境效应：实验和计算模型研究

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摘要

Mechanisms that underlie the inductive reasoning process in risk contexts are investigated. Experimental results indicate that people rate the same inductive reasoning argument differently according to the direction of risk aversion. In seeking to provide the most valid explanation of this, two kinds of models based on a Support Vector Machine (SVM) that process different knowledge spaces are proposed and compared. These knowledge spaces—a feature-based space and a category-based space—are both constructed from the soft clustering of the same corpus data. The simulation for the category-based model resulted in a slightly more successful replication of experimental findings for two kinds of risk conditions using two different estimated model parameters than the other simulation. Finally, the cognitive explanation by the category-based model based on a SVM for contextual inductive reasoning is discussed.
机译：研究了在风险上下文中归纳推理过程基础的机制。实验结果表明，人们根据风险规避的方向对同一归纳推理论证的评价不同。为了寻求对此的最有效解释，提出并比较了基于支持向量机（SVM）的两种处理不同知识空间的模型。这些知识空间（基于特征的空间和基于类别的空间）都是通过相同语料库数据的软聚类构建的。基于类别的模型的仿真使用两种不同的估计模型参数，比另一种仿真更成功地复制了两种风险条件下的实验结果。最后，讨论了基于支持向量机的基于类别的模型的上下文归纳推理的认知解释。

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