Directional Communication in Evolved Multiagent Teams

Abstract

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 indicate that directional reception is a key ingredient in the evolutionary tractability of effective communication. Furthermore, the real world viability of directional communication is demonstrated through the successful transfer of the best evolved controllers to real robots. The conclusion is that directional reception is an important language feature to consider when designing communication architectures for more complicated tasks in the future.

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Document Details

Document Type
Technical Report
Publication Date
Jun 10, 2013
Accession Number
ADA588007

Entities

People

  • Justin K. Pugh
  • Kenneth O. Stanley
  • Skyler Goodell

Organizations

  • University of Central Florida

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Acoustics
  • Algorithms
  • Autonomous Agents
  • Coding
  • Communication Channels
  • Communication Systems
  • Computations
  • Control Systems
  • Directional
  • Geometry
  • Language
  • Military Research
  • Multiagent Systems
  • Neural Networks
  • Text Messaging
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Radar Systems Engineering.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control