{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T23:02:48Z","timestamp":1777590168232,"version":"3.51.4"},"reference-count":52,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[1996,1,1]],"date-time":"1996-01-01T00:00:00Z","timestamp":820454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adaptive Behavior"],"published-print":{"date-parts":[[1996,1]]},"abstract":"<jats:p>Monitoring is an important activity for any embedded agent. To operate effectively, agents must gather information about their environment. The policy by which they do this is called a monitoring strategy. Our work has focused on classifying different types of monitoring strategies and understanding how strategies depend on features of the task and environment. We have discovered only a few general monitoring strategies, in particular periodic and interval reduction, and speculate that there are no more. The relative advantages and generality of each strategy will be discussed in detail. The wide applicability of interval reduction will be demonstrated both empirically and analytically. We conclude with a number of general laws that state when a strategy is most appropriate.<\/jats:p>","DOI":"10.1177\/105971239600400202","type":"journal-article","created":{"date-parts":[[2007,3,17]],"date-time":"2007-03-17T21:21:19Z","timestamp":1174166479000},"page":"125-172","source":"Crossref","is-referenced-by-count":13,"title":["Monitoring Strategies for Embedded Agents: Experiments and Analysis"],"prefix":"10.1177","volume":"4","author":[{"given":"Marc S.","family":"Atkin","sequence":"first","affiliation":[{"name":"University of Massachusetts"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul R.","family":"Cohen","sequence":"additional","affiliation":[{"name":"University of Massachusetts"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1996,1,1]]},"reference":[{"key":"atypb1","volume-title":"Proceedings of the Sixth National Conference on Artificial Intelligence","author":"Agre, P.E."},{"key":"atypb2","volume-title":"What are plans for?","author":"Agre, P.E.","year":"1990"},{"key":"atypb3","volume-title":"Proceedings of the Seventh National Conference on Artificial Intelligence","author":"Ambros-Ingerson, J.A."},{"key":"atypb4","volume-title":"Proceedings of the AAAI 93 Workshop on Learning Action Models","author":"Atkin, M."},{"key":"atypb5","volume-title":"Research summary: Using a genetic algorithm to monitor cupcakes, EKSL Memo","author":"Atkin, M.S.","year":"1991"},{"key":"atypb6","volume-title":"Using genetic algorithms to learn monitoring strategies","author":"Atkin, M.S.","year":"1993"},{"key":"atypb7","volume-title":"Proceedings of the First IEEE Conference on Evolutionary Computation","author":"Atkin, M.S."},{"issue":"8","key":"atypb8","first-page":"996","volume":"76","author":"Bajscy, R.","year":"1988","journal-title":"Proceedings of the IEEE"},{"key":"atypb9","doi-asserted-by":"publisher","DOI":"10.1109\/THFE.1966.232984"},{"key":"atypb10","doi-asserted-by":"publisher","DOI":"10.1109\/TMMS.1968.300041"},{"key":"atypb11","doi-asserted-by":"publisher","DOI":"10.2307\/1130182"},{"key":"atypb12","volume-title":"Proceedings of the Ninth National Conference on Artificial Intelligence","author":"Chrisman, L."},{"key":"atypb13","volume-title":"Proceedings of the AAAI Workshop on Planning","author":"Cohen, P.R."},{"key":"atypb14","volume-title":"Proceedings of the Third International Conference on the Simulation of Adaptive Behavior","author":"Cohen, P.R."},{"key":"atypb15","doi-asserted-by":"publisher","DOI":"10.21236\/ADA219929"},{"key":"atypb16","volume-title":"Proceedings of the DARPA Knowledge-Based Planning Workshop","author":"Dean, T."},{"key":"atypb17","volume-title":"Proceedings of the Fifth National Conference on Artificial Intelligence","author":"Doyle, R."},{"key":"atypb18","doi-asserted-by":"publisher","DOI":"10.1037\/10627-000"},{"key":"atypb19","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(72)90051-3"},{"key":"atypb20","volume-title":"Proceedings of the Sixth National Conference on Artificial Intelligence","author":"Firby, R.J."},{"key":"atypb21","volume-title":"Proceedings of the Sixth National Conference on Artificial Intelligence","author":"Georgeff, M.P."},{"key":"atypb22","volume-title":"Genetic algorithms in search, optimization and machine learning","author":"Goldberg, D.E.","year":"1989"},{"key":"atypb23","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-08-050684-5.50008-2"},{"key":"atypb24","volume-title":"Note on monitoring cupcakes (EKSL Memo no. 22)","author":"Hansen, E.A.","year":"1992"},{"key":"atypb25","volume-title":"Learning a decision rulefor monitoring tasks with deadlines (CMP-SCI Tech. 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