COMBINING SELF-ORGANIZING AND BAYESIAN MODELS OF CONCEPT FORMATION

被引：1

作者：

Lindh-Knuutila, Tiina ^{[1
]}

Raitio, Juha ^{[1
]}

Honkela, Timo ^{[1
]}

机构：

[1] Helsinki Univ Technol, Adapt Informat Res Ctr, TKK, FI-02015 Espoo, Finland

来源：

CONNECTIONIST MODELS OF BEHAVIOUR AND COGNITION II | 2009年 / 18卷

关键词：

concept; concept formation; self-organization; Bayesian inference; multi-agent simulation; language game; FEATURE MAPS;

D O I：

10.1142/9789812834232_0016

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this article, we consider contemporary theories of concepts, and Bayesian and self-organizing models of concept formation. After introducing the different models, we present our own experiment. It utilizes a multi-agent simulation framework, in which the emergence of a common vocabulary can be studied. In the experiment, we use jointly the self-organizing maps and probabilistic modeling of concept naming. The results of the experiments show that a common vocabulary to denote prototypical colors emerges in the agent population.

引用

下载

页码：193 / 204

页数：12

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