| Literature DB >> 33501145 |
Andrea Roli1, Antoine Ligot2, Mauro Birattari2.
Abstract
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.Entities:
Keywords: automatic design; complexity measures; evolutionary robotics; information theory; swarm robotics
Year: 2019 PMID: 33501145 PMCID: PMC7805888 DOI: 10.3389/frobt.2019.00130
Source DB: PubMed Journal: Front Robot AI ISSN: 2296-9144