Techniques and Directions for Building Very Large Agent Teams
Conference Paper, Proceedings of International Conference on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS '05), pp. 79 - 84, April, 2005
Abstract
We have developed probabilistic algorithms that leverage the associates network for distributed plan instantiation, role allocation, information sharing and adjustable autonomy with a team. By developing such new algorithms, we have been able to build teams of hundreds of cooperating agents, and test specific behaviors among tens of thousands of agents. In this paper, we describe the algorithms that we have developed, the tests that we subjected them to, and sketch some of the key challenges that remain to be addressed.
Notes
Invited Paper
Invited Paper
BibTeX
@conference{Scerri-2005-9157,author = {Paul Scerri and Joseph Andrew Giampapa and Katia Sycara},
title = {Techniques and Directions for Building Very Large Agent Teams},
booktitle = {Proceedings of International Conference on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS '05)},
year = {2005},
month = {April},
editor = {Craig Thompson and Henry Hexmoor},
pages = {79 - 84},
publisher = {IEEE Boston Section},
address = {P.O. Box 1331, Piscataway, NJ 08855--1331},
keywords = {large scale teamwork, distributed plan instantiation, role allocation, information sharing, adjustable autonomy},
}
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