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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ray, P. O'Rourke, M. Edwards, D. |
| Copyright Year | 2009 |
| Description | Author affiliation: Center for Intelligent Systems Research University of Idaho PO Box 441024, 607 Urquhart Ave., BEL W3-1 Moscow, ID 83844-1024 (Ray, P.; O'Rourke, M.; Edwards, D.) |
| Abstract | Collective behavior differs essentially from aggregate individual behavior. Multiple agents acting collectively are capable of performing certain behaviors that cannot be reduced to the behaviors of multiple agents acting individually. When multiple agents perform behaviors, they can be acting collectively and so be characterized as one entity. Ant colonies are generally thought to behave as a single entity rather than as a mere aggregate of individuals, and human social behavior also exhibits advantages over aggregate individual behavior. Recent research has shown the advantages of single entity, collective behavior, known as "emergent behavior", over aggregate sum behavior. In modeling the behaviors of multiple agents, we argue that emergent behavior must be characterized collectively. Autonomous underwater vehicle (AUV) fleets are collectives of autonomous vehicles with behaviors emerging at a fleet level. For this reason, the AUV behavior designer ought to distinguish between individual behavior and collective, fleet behaviors and use this in a dynamic and bi-level approach to structuring the pursuit of mission objectives. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 754542 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424449606 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | MTS |
| Subject Keyword | Ontologies Underwater vehicles Aggregates Collaboration Painting Legged locomotion Intelligent systems Intelligent vehicles Humans Remotely operated vehicles |
| Content Type | Text |
| Resource Type | Article |
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