Title

Effective Agent Collaboration through Improved Communication by Means of Contextual Reasoning

Authors

Authors

G. C. Berrett;A. J. Gonzalez

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Int. J. Intell. Syst.

Keywords

BEHAVIOR; TEAMWORK; Computer Science, Artificial Intelligence

Abstract

This paper describes an extension to a context-driven agent representation paradigm that facilitates modeling collaborative tactical behaviors for simulations of team games or military missions. Called collaborative context-based reasoning, it emphasizes communication among the collaborating agents and carries it out by exchanging their currently active context when feasible. CCxBR is founded on the concepts defined in joint intention theory (JIT). The research described here presents an architecture that incorporates JIT in a contextual framework. The ability to facilitate communication among the collaborating agents by exchanging information about active contexts resembles the ability of humans to agree on a tactic in midstream and predict the behavior of their collaborators. This allows a CCxBR agent to invoke the actions involved in the tactic in the pursuit of a common goal. The paper describes several prototypes built to evaluate the CCxBR approach and the experiments executed to determine its effectiveness. The results of the experiments and the conclusions reached are discussed. (C) 2010 Wiley Periodicals, Inc.

Journal Title

International Journal of Intelligent Systems

Volume

26

Issue/Number

2

Publication Date

1-1-2011

Document Type

Article

Language

English

First Page

129

Last Page

157

WOS Identifier

WOS:000286034700003

ISSN

0884-8173

Share

COinS