Activity Recognition for Dynamic Multi-Agent Teams

    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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