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MODELING INFERENTIAL MINDS IN CONCEPTUAL SPACE

机译:在概念空间中建模推断思想

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We present an Agent Based Model (ABM) named MIMICS (Modeling Inferential Minds in Conceptual Space), which shows how a social group develops Abstract concepts for achieving agreement in communication. Agents describe concepts by assigning properties to them based on learning and communication interactions, trying to develop a conceptual space that discriminates as much as possible between two concepts (i.e., they try to assign properties to concepts decreasing the overlap among the properties that describe them). Contrarily to concrete concepts, those properties come from the social group and not from objects' physical properties. The results show that agents in MIMICS develop abstract concepts that exhibit the same characteristics that are found in studies of real concepts: non-uniform frequency distributions of properties, inter-subjective variability and stable concepts that are useful for the simulated social group by providing agreement in communication.
机译:我们介绍了一个名为MIMICS的基于代理的模型(ABM)(在概念空间中建模推断思想),它显示了社会群体如何为实现沟通协议开发抽象概念。代理通过基于学习和通信交互为它们分配属性来描述概念,尝试开发一个概念空间,这些空间在两个概念之间尽可能多地辨别(即,他们尝试将属性分配给概念,从而减少描述它们的属性之间的重叠) 。与具体概念相反,这些物业来自社会群体,而不是来自物体的物理性质。结果表明,模仿的代理商开发了摘要概念,该概念表现出在实际概念的研究中发现的相同特征:通过提供协议对模拟社会群体有用的性质,主观间变异性和稳定概念的稳定概念在沟通中。

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