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An automated teamwork infrastructure for heterogeneous software agents and humans (2001)
| Venue: | AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS 7(1-2), 71–100 (2003 |
| Citations: | 46 - 4 self |
BibTeX
@INPROCEEDINGS{Pynadath01anautomated,
author = {David V. Pynadath and Milind Tambe},
title = { An automated teamwork infrastructure for heterogeneous software agents and humans},
booktitle = {AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS 7(1-2), 71–100 (2003},
year = {2001},
publisher = {}
}
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Abstract
Agent integration architectures enable a heterogeneous, distributed set of agents to work together to address problems of greater complexity than those addressed by the individual agents themselves. Unfortunately, integrating software agents and humans to perform real-world tasks in a large-scale system remains difficult, especially due to three main challenges: ensuring robust execution in the face of a dynamic environment, providing abstract task specifications without all the low-level coordination details, and finding appropriate agents for inclusion in the overall system. To address these challenges, our Teamcore project provides the integration architecture with general-purpose teamwork coordination capabilities. We make each agent team-ready by providing it with a proxy capable of general teamwork reasoning. Thus, a key novelty and strength of our framework is that powerful teamwork capabilities are built into its foundations by providing the proxies themselves with a teamwork model. Given this teamwork model, the Teamcore proxies addresses the first agent integration challenge, robust execution, by automatically generating the required coordination actions for the agents they represent. We can also exploit the proxies ’ reusable general teamwork knowledge to address the second agent integration challenge. Through team-oriented pro-
Keyphrases
heterogeneous software agent automated teamwork infrastructure robust execution teamwork model teamcore project first agent integration challenge abstract task specification low-level coordination detail appropriate agent software agent powerful teamwork capability general-purpose teamwork coordination capability integration architecture main chal-lenges proxy reusable general teamwork knowledge overall system large-scale system indi-vidual agent distributed set dynamic environment teamcore proxy real-world task general teamwork reasoning team-oriented pro agent integration key novelty required coordination action second agent integration challenge proxy capable
