dc.contributor.author |
Clement, B. J. |
en_US |
dc.contributor.author |
Barrett, A. |
en_US |
dc.date.accessioned |
2004-09-17T05:15:36Z |
|
dc.date.available |
2004-09-17T05:15:36Z |
|
dc.date.issued |
2002-07-28 |
en_US |
dc.identifier.citation |
18th National Conference on Artificial Intelligence (AAAI-2002) |
en_US |
dc.identifier.citation |
Edmonton, Alberta, Canada |
en_US |
dc.identifier.clearanceno |
02-1147 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/2014/8596 |
|
dc.description.abstract |
Interacting agents that interleave planning and execution must reach consensus on their commitments to each other. For domains with varying degrees of interaction and different constraints on communication and computation, agents will require different coordination protocols in order to efficiently achieve their goals. ShAC (Shared Activity Coordination) is a framework for designing coordination protocols and an algorithm for continually coordinating agents using these protocols during execution. We show how a variety of protocols can be constructed using this framework and describe how ShAC coordinates two rovers and an orbiter in a simulated Mars scenario. |
en_US |
dc.format.extent |
3706044 bytes |
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dc.format.mimetype |
application/pdf |
|
dc.language.iso |
en_US |
|
dc.subject.other |
multiple agents coordination planning scheduling Mars |
en_US |
dc.title |
Continual coordination of shared activities |
en_US |