Behavioural plasticity in evolving robots

被引:0
|
作者
Jônata Tyska Carvalho
Stefano Nolfi
机构
[1] National Research Council (CNR),Institute of Cognitive Sciences and Technologies
[2] Federal University of Rio Grande (FURG),Center for Computational Sciences (C3)
来源
Theory in Biosciences | 2016年 / 135卷
关键词
Behavioural plasticity; Evolutionary robotics; Multiple behaviours; Autonomous robotics; Modularity; Action switching;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we show how the development of plastic behaviours, i.e., behaviour displaying a modular organisation characterised by behavioural subunits that are alternated in a context-dependent manner, can enable evolving robots to solve their adaptive task more efficiently also when it does not require the accomplishment of multiple conflicting functions. The comparison of the results obtained in different experimental conditions indicates that the most important prerequisites for the evolution of behavioural plasticity are: the possibility to generate and perceive affordances (i.e., opportunities for behaviour execution), the possibility to rely on flexible regulatory processes that exploit both external and internal cues, and the possibility to realise smooth and effective transitions between behaviours.
引用
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页码:201 / 216
页数:15
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