Title

Activity Recognition for Dynamic Multi-Agent Teams

Authors

Authors

G. Sukthankar;K. Sycara

Comments

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

Abbreviated Journal Title

ACM Trans. Intell. Syst. Technol.

Keywords

Algorithms; Experimentation; Performance; Activity recognition; plan; recognition; multi-agent systems; teamwork; Computer Science, Artificial Intelligence; Computer Science, Information; Systems

Abstract

This article addresses the problem of activity recognition for dynamic, physically embodied agent teams. We define team activity recognition as the process of identifying team behaviors from traces of agent positions over time; for many physical domains, military or athletic, coordinated team behaviors create distinctive spatio-temporal patterns that can be used to identify low-level action sequences. This article focuses on the novel problem of recovering agent-to-team assignments for complex team tasks where team composition, the mapping of agents into teams, changes over time. We suggest two methods for improving the computational efficiency of the multi-agent plan recognition process in these cases of changing team composition; our proposed approach is robust to sensor observation noise and errors in behavior classification.

Journal Title

Acm Transactions on Intelligent Systems and Technology

Volume

3

Issue/Number

1

Publication Date

1-1-2012

Document Type

Article

Language

English

First Page

24

WOS Identifier

WOS:000313763200018

ISSN

2157-6904

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