Title

Learning Collaborative Behavior By Observation

Keywords

Learning by observation; Multi-agent learning; Teamwork

Abstract

This paper presents a multi-agent framework capable of learning teamwork by observation. The system combines proven single entity learning by observation techniques with a multi-agent system shown to exhibit effective teamwork. An effective simulated production team is observed. An off-line training algorithm uses the observed data to develop behavior maps for a Collaborative Context-based Reasoning framework. The Collaborative Context-based Reasoning framework provides generic base classes capable of recreating the behavior of the original agents using the behavior maps developed by the training algorithm. The resulting prototype effectively replaces the original team of agents and is capable of reproducing its behavior and generalizing the behavior to encompass similar situations. © 2010 IEEE.

Publication Date

12-1-2010

Publication Title

Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010

Number of Pages

99-104

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICMLA.2010.22

Socpus ID

79952416348 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/79952416348

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