Acquisition of shared symbols in multi-agent cooperative tasks

Authors:
Siavash Kayal;Abdol Hossein Aminaiee;Caro Lucas
Affiliations:
Center of Excellence, Control and Intelligent Processing, ECE Faculty, College of Engineering. University of Tehran;Center of Excellence, Control and Intelligent Processing, ECE Faculty, College of Engineering. University of Tehran;Control and Intelligent Processing, ECE Faculty, College of Engineering, University of Tehran
Venue:
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Year:
2009

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Abstract

In this paper a novel mechanism for acquiring shared symbols in multi-agent cooperative task is introduced. Inspired by human communication, a technique is suggested in which learning the behaviors and learning how to communicate are decomposed. Decomposing the shared symbol acquisition into two separate learning phases not only sunplifies the learning algorithm but also it speeds up the process. Moreover, utilizing the gained information about the environment in the behavior learning phase, agent communication is learned easily. A couple of simulations are conducted to support the idea. Simulation results show that agents could assign meaning to symbols and transfer information among themselves using the learned symbols. Roughly speaking, they could form a language.