Title

Directional Communication In Evolved Multiagent Teams

Keywords

Artificial neural networks; Communication; Coordination; Evolutionary algorithms; HyperNEAT; Multirobot teams

Abstract

The question of how to best design a communication architecture is becoming increasingly important for evolving autonomous multiagent systems. Directional reception of signals, a design feature of communication that appears in most animals, is present in only some existing artificial communication systems. This paper hypothesizes that such directional reception benefits the evolution of communicating autonomous agents because it simplifies the language required to express positional information, which is critical to solving many group coordination tasks. This hypothesis is tested by comparing the evolutionary performance of several alternative communication architectures (both directional and non-directional) in a multiagent foraging domain designed to require a basic "come here" type of signal for the optimal solution. Results confirm that directional reception is a key ingredient in the evolutionary tractability of effective communication. Furthermore, the real world viability of directional reception is demonstrated through the successful transfer of the best evolved controllers to real robots. The conclusion is that directional reception is important to consider when designing communication architectures for more complicated tasks in the future. © 2014 ACM.

Publication Date

1-1-2014

Publication Title

GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference

Number of Pages

217-224

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/2576768.2598299

Socpus ID

84905686853 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84905686853

This document is currently not available here.

Share

COinS