dc.contributor.author | Parkes, David C. | |
dc.contributor.author | Greenwald, Lloyd | |
dc.date.accessioned | 2010-05-18T19:16:02Z | |
dc.date.issued | 2001 | |
dc.identifier.citation | Parkes, David C., and Lloyd Greenwald. 2001. Approximate and compensate: A method for risk-sensitive meta-deliberation and continual computation. In Using uncertainty within computation: Papers from the 2001 AAAI Fall Symposium: November 2-4, 2001, North Falmouth, Massachusetts, ed. C. Gomes, T. Walsh, and American Association for Artificial Intelligence, 101-108. Menlo Park, C.A.: AAAI Press. | en_US |
dc.identifier.isbn | 9781577351382 | en_US |
dc.identifier.uri | http://nrs.harvard.edu/urn-3:HUL.InstRepos:4101699 | |
dc.description.abstract | We present a flexible procedure for a resource-bounded agent to allocate limited computational resources to on-line problem solving. Our APPROXIMATE AND COMPENSATE methodology extends a well-known greedy time-slicing approach to conditions in which performance profiles may be non-concave and there is uncertainty in the environment and/or problem-solving procedures of an agent. With this method, the agent first approximates problem-solving performance and problem parameters with standard parameterized models. Second, the agent computes a risk-management factor that compensates for the risk inherent in the approximation. The risk-management factor represents a mean-variance tradeoff that may be derived optimally off-line using any available information. Theoretical and experimental results demonstrate that APPROXIMATE AND COMPENSATE extends existing methods to new problems and expands the practical application of meta-deliberation. | en_US |
dc.description.sponsorship | Engineering and Applied Sciences | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Association for the Advancement of Artificial Intelligence | en_US |
dc.relation.isversionof | https://www.aaai.org/Papers/Symposia/Fall/2001/FS-01-04/FS01-04-016.pdf | en_US |
dc.relation.hasversion | http://www.eecs.harvard.edu/econcs/pubs/approxcomp.pdf | en_US |
dash.license | LAA | |
dc.title | Approximate and Compensate: A Method for Risk-Sensitive Meta-Deliberation and Continual Computation | en_US |
dc.type | Monograph or Book | en_US |
dc.description.version | Accepted Manuscript | en_US |
dash.depositing.author | Parkes, David C. | |
dc.date.available | 2010-05-18T19:16:02Z | |
dash.contributor.affiliated | Parkes, David | |