Complexity Measures: Open Questions and Novel Opportunities in the Automatic Design and Analysis of Robot Swarms

Frontiers in Robotics and AI

Andrea Roli¹  Antoine Ligot²  Mauro Birattari² 

[1] Department of Computer Science and Engineering, Campus of Cesena, Alma Mater Studiorum Università di Bologna, Bologna, Italy;IRIDIA, Université libre de Bruxelles, Brussels, Belgium;

关键词: complexity measures;    information theory;    swarm robotics;    evolutionary robotics;    automatic design;   

DOI  :  10.3389/frobt.2019.00130

来源: DOAJ

【 摘 要 】

Complexity measures and information theory metrics in general have recently been attracting the interest of multi-agent and robotics communities, owing to their capability of capturing relevant features of robot behaviors, while abstracting from implementation details. We believe that theories and tools from complex systems science and information theory may be fruitfully applied in the near future to support the automatic design of robot swarms and the analysis of their dynamics. In this paper we discuss opportunities and open questions in this scenario.

【 授权许可】

Unknown