A symbolic solution to intelligent real-time control
dc.contributor.author | Pearson, Douglas J. | en_US |
dc.contributor.author | Huffman, Scott B. | en_US |
dc.contributor.author | Willis, Mark B. | en_US |
dc.contributor.author | Laird, John E. | en_US |
dc.contributor.author | Jones, Randolph M. | en_US |
dc.date.accessioned | 2006-04-10T15:28:59Z | |
dc.date.available | 2006-04-10T15:28:59Z | |
dc.date.issued | 1993-12 | en_US |
dc.identifier.citation | Pearson, Douglas J., Huffman, Scott B., Willis, Mark B., Laird, John E., Jones, Randolph M. (1993/12)."A symbolic solution to intelligent real-time control." Robotics and Autonomous Systems 11(3-4): 279-291. <http://hdl.handle.net/2027.42/30410> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V16-4810SFD-T/2/b57fdee9a0d33067b7ace2410654189b | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/30410 | |
dc.description.abstract | Autonomous systems must operate in dynamic, unpredictable environments in real time. The task of flying a plane is an example of an environment in which the agent must respond quickly to unexpected events while pursuing goals at different levels of complexity and granularity. We present a system, Air-Soar, that achieves intelligent control through fully symbolic reasoning in a hierarchy of simultaneously active problem spaces. Achievement goals, changing to a new state, and homeostatic goals, continuously maintaining a constraint, are smoothly integrated within the system. The hierarchical approach and support for multiple, simultaneous goals give rise to multi-level reactive behavior, in which Air-Soar responds to unexpected events at the same granularity where they are first sensed. | en_US |
dc.format.extent | 1057659 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | A symbolic solution to intelligent real-time control | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Mechanical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, Artificial Intelligence Laboratory, 1101 Beal Ave., Ann Arbor, MI 48109-2122, USA | en_US |
dc.contributor.affiliationum | University of Michigan, Artificial Intelligence Laboratory, 1101 Beal Ave., Ann Arbor, MI 48109-2122, USA | en_US |
dc.contributor.affiliationum | University of Michigan, Artificial Intelligence Laboratory, 1101 Beal Ave., Ann Arbor, MI 48109-2122, USA | en_US |
dc.contributor.affiliationum | University of Michigan, Artificial Intelligence Laboratory, 1101 Beal Ave., Ann Arbor, MI 48109-2122, USA | en_US |
dc.contributor.affiliationum | University of Michigan, Artificial Intelligence Laboratory, 1101 Beal Ave., Ann Arbor, MI 48109-2122, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/30410/1/0000030.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0921-8890(93)90032-8 | en_US |
dc.identifier.source | Robotics and Autonomous Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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