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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Palmer, D.W. Kirschenbaum, M. Seiter, L. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept of Math. & Comput. Sci., John Carroll Univ., Cleveland, OH (Palmer, D.W.; Kirschenbaum, M.; Seiter, L.) |
| Abstract | In this paper we describe emergence-oriented programming (EOP), a novel, human-centric technique to engineer swarm algorithms at a higher level of complexity than those developed with simple reactive agents. The process is iterative, building modules of behavior that can be layered to produce solutions that converge faster than reactive swarms to the desired emergent goal. The layers are modular and can be independently applied, mirroring the arbitrarily nested cognitive model proposed by Baas and Emmeche. The layers are produced by external observers recognizing and reinforcing patterns within swarms that are not visible at lower levels. Each layer builds upon the previous one leading to emergence, but the entire hierarchy can be mechanically collapsed into executable if-then rules based on robot primitives. We demonstrate portions of this technique to improve on the reactive swarm approach for solving the 4-color mapping problem |
| Starting Page | 1441 |
| Ending Page | 1448 |
| File Size | 661138 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780392981 |
| DOI | 10.1109/ICSMC.2005.1571349 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering algorithms Humans Iterative algorithms Pattern recognition Robot programming Ant colony optimization Routing Autonomous agents Writing Decision making aspect-oriented programming Swarm Engineering emergent behavior software development |
| Content Type | Text |
| Resource Type | Article |
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