A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems (Preprint)
We present two key components of a principled method for constructing modular, heterogeneous swarms. First, we generalize a well-known technique for representing swarm behaviors to extend the power of multiagent systems by specializing agents and their interactions. Second, a novel graph-based metho...
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ftdtic:ADA478680 2023-05-15T16:50:28+02:00 A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems (Preprint) Wiegand, R. P. Potter, Mitchell A. Sofge, Donald A. Spears, William M. NAVAL RESEARCH LAB WASHINGTON DC CENTER FOR APPLIED RESEARCH IN ARTIFICIAL INTELLIGENCE 2006-09 text/html http://www.dtic.mil/docs/citations/ADA478680 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA478680 en eng http://www.dtic.mil/docs/citations/ADA478680 Approved for public release; distribution is unlimited. DTIC Cybernetics *MULTIAGENT SYSTEMS MATHEMATICAL MODELS SYMPOSIA ROBOTICS GRAPHS HETEROGENEITY SWARM INTELLIGENCE MODULARITY PHYSICOMIMETICS DISCRETE TIME SIMULATIONS NEWTONIAN FORCE LAW RESOURCE PROTECTION PROBLEMS INTERACTION MODELS N0001406WX20006 N0001406WX30002 Text 2006 ftdtic 2016-02-22T14:22:55Z We present two key components of a principled method for constructing modular, heterogeneous swarms. First, we generalize a well-known technique for representing swarm behaviors to extend the power of multiagent systems by specializing agents and their interactions. Second, a novel graph-based method is introduced for designing swarm-based behaviors for multiagent teams. This method includes engineer-provided knowledge through explicit design decisions pertaining to specialization, heterogeneity, and modularity. We show the representational power of our generalized representation can be used to evolve a solution to a challenging multiagent resource protection problem. We also construct a modular design by hand, resulting in a scalable and intuitive heterogeneous solution for the resource protection problem. Prepared in collaboration with the Department of Computer Science, University of Wyoming, Laramie, WY. Presented at the International Conference on Parallel Problem Solving from Nature (9th), PPSN IX, held Reykjavik, Iceland, 9-13 Sep 2006. Published in proceedings of the same, Lecture Notes in Computer Science, v4193, p741-750, 2006; ISBN 3-540-3899-0. Text Iceland Defense Technical Information Center: DTIC Technical Reports database |
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Defense Technical Information Center: DTIC Technical Reports database |
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ftdtic |
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English |
topic |
Cybernetics *MULTIAGENT SYSTEMS MATHEMATICAL MODELS SYMPOSIA ROBOTICS GRAPHS HETEROGENEITY SWARM INTELLIGENCE MODULARITY PHYSICOMIMETICS DISCRETE TIME SIMULATIONS NEWTONIAN FORCE LAW RESOURCE PROTECTION PROBLEMS INTERACTION MODELS N0001406WX20006 N0001406WX30002 |
spellingShingle |
Cybernetics *MULTIAGENT SYSTEMS MATHEMATICAL MODELS SYMPOSIA ROBOTICS GRAPHS HETEROGENEITY SWARM INTELLIGENCE MODULARITY PHYSICOMIMETICS DISCRETE TIME SIMULATIONS NEWTONIAN FORCE LAW RESOURCE PROTECTION PROBLEMS INTERACTION MODELS N0001406WX20006 N0001406WX30002 Wiegand, R. P. Potter, Mitchell A. Sofge, Donald A. Spears, William M. A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems (Preprint) |
topic_facet |
Cybernetics *MULTIAGENT SYSTEMS MATHEMATICAL MODELS SYMPOSIA ROBOTICS GRAPHS HETEROGENEITY SWARM INTELLIGENCE MODULARITY PHYSICOMIMETICS DISCRETE TIME SIMULATIONS NEWTONIAN FORCE LAW RESOURCE PROTECTION PROBLEMS INTERACTION MODELS N0001406WX20006 N0001406WX30002 |
description |
We present two key components of a principled method for constructing modular, heterogeneous swarms. First, we generalize a well-known technique for representing swarm behaviors to extend the power of multiagent systems by specializing agents and their interactions. Second, a novel graph-based method is introduced for designing swarm-based behaviors for multiagent teams. This method includes engineer-provided knowledge through explicit design decisions pertaining to specialization, heterogeneity, and modularity. We show the representational power of our generalized representation can be used to evolve a solution to a challenging multiagent resource protection problem. We also construct a modular design by hand, resulting in a scalable and intuitive heterogeneous solution for the resource protection problem. Prepared in collaboration with the Department of Computer Science, University of Wyoming, Laramie, WY. Presented at the International Conference on Parallel Problem Solving from Nature (9th), PPSN IX, held Reykjavik, Iceland, 9-13 Sep 2006. Published in proceedings of the same, Lecture Notes in Computer Science, v4193, p741-750, 2006; ISBN 3-540-3899-0. |
author2 |
NAVAL RESEARCH LAB WASHINGTON DC CENTER FOR APPLIED RESEARCH IN ARTIFICIAL INTELLIGENCE |
format |
Text |
author |
Wiegand, R. P. Potter, Mitchell A. Sofge, Donald A. Spears, William M. |
author_facet |
Wiegand, R. P. Potter, Mitchell A. Sofge, Donald A. Spears, William M. |
author_sort |
Wiegand, R. P. |
title |
A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems (Preprint) |
title_short |
A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems (Preprint) |
title_full |
A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems (Preprint) |
title_fullStr |
A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems (Preprint) |
title_full_unstemmed |
A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems (Preprint) |
title_sort |
generalized graph-based method for engineering swarm solutions to multiagent problems (preprint) |
publishDate |
2006 |
url |
http://www.dtic.mil/docs/citations/ADA478680 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA478680 |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
DTIC |
op_relation |
http://www.dtic.mil/docs/citations/ADA478680 |
op_rights |
Approved for public release; distribution is unlimited. |
_version_ |
1766040617286107136 |