Bio-inspired Classification in the Architecture of Situated Agents

被引：0

作者：

Gini, G. ^{[1
]}

Franchi, A. M. ^{[1
]}

Ferrini, F. ^{[1
]}

Gallo, F. ^{[1
]}

Mutti, F. ^{[1
]}

Manzotti, R. ^{[2
]}

机构：

[1] Politecn Milan, DEIB, I-20133 Milan, Italy

[2] IULM Univ, Milan, Italy

来源：

INTELLIGENT AUTONOMOUS SYSTEMS 13 | 2016年 / 302卷

关键词：

Bio-inspiration; Perception; Classifiers cascade; One-class classifier; Winner take all; COGNITION; AMYGDALA;

D O I：

10.1007/978-3-319-08338-4_43

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cognitive development concerns the evolution of human mental capabilities through experience earned during life. Important features needed to accomplish this target are the self-generation of motivations and goals as well as the development of complex behaviors consistent with these goals. Our target is to build such a bio-inspired cognitive architecture for situated agents, capable of integrating new sensing data from any source. Based on neuroscience assessed concepts, as neural plasticity and neural coding, we show how a categorization module built on cascading classifiers is able to interpret different sensing data. Moreover, we see how to give a biological interpretation to our classification model using the winner-take-all paradigm.

引用

页码：577 / 589

页数：13

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