/Techniques and Directions for Building Very Large Agent Teams

Techniques and Directions for Building Very Large Agent Teams

Paul Scerri, Joseph Andrew Giampapa and Katia Sycara
Conference Paper, 2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS'05: Modeling, Exploration, and Engineering, pp. 79-84, April, 2005

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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.

BibTeX Reference
@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 = {2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS'05: Modeling, Exploration, and Engineering},
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},
}
2017-09-13T10:43:29-04:00