{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T13:10:36Z","timestamp":1686229836407},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2011,7,30]],"date-time":"2011-07-30T00:00:00Z","timestamp":1311984000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2012,8]]},"DOI":"10.1007\/s10115-011-0435-z","type":"journal-article","created":{"date-parts":[[2011,7,29]],"date-time":"2011-07-29T04:08:18Z","timestamp":1311912498000},"page":"329-349","source":"Crossref","is-referenced-by-count":2,"title":["A relational hierarchical model for decision-theoretic assistance"],"prefix":"10.1007","volume":"32","author":[{"given":"Sriraam","family":"Natarajan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prasad","family":"Tadepalli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan","family":"Fern","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,7,30]]},"reference":[{"key":"435_CR1","unstructured":"Ambite JL, Barish G, Knoblock CA, Muslea M, Oh J, Minton S (2002) Getting from here to there: interactive planning and agent execution for optimizing travel. In: IAAI, pp 862\u2013869"},{"key":"435_CR2","volume-title":"Neuro-dynamic programming","author":"DP Bertsekas","year":"1996","unstructured":"Bertsekas DP, Tsitsiklis JN (1996) Neuro-dynamic programming. Athena Scientific, Belmont"},{"key":"435_CR3","doi-asserted-by":"crossref","unstructured":"Bui H, Venkatesh S, West G (2002) Policy recognition in the abstract hidden Markov models. JAIR 17:451\u2013499","DOI":"10.1613\/jair.839"},{"key":"435_CR4","unstructured":"Bui HH, Cesari F, Elenius D, House N, Morley D, Myers KM, Natarajan S, Saadati S, Yeh E, Yorke-Smith N (2008) CALO workflow recognition and proactive assistance. In: AAAI-08 AI video competition"},{"key":"435_CR5","unstructured":"Boger J, Poupart P, Hoey J, Boutilier, C, Fernie G, Mihailidis A (2005) A decision-theoretic approach to task assistance for persons with dementia. In: IJCAI, pp 1293\u20131299"},{"key":"435_CR6","doi-asserted-by":"crossref","unstructured":"De Raedt L, Frasconi P, Kersting K, Muggleton SH (2010) Probabilistic inductive logic programming, Lecture Notes in Computer Science\/Lecture Notes in Artificial Intelligence","DOI":"10.1007\/978-3-642-13840-9"},{"key":"435_CR7","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1613\/jair.639","volume":"13","author":"TG Dietterich","year":"2000","unstructured":"Dietterich TG (2000) Hierarchical reinforcement learning with the MAXQ value function decomposition. JAIR 13: 227\u2013303","journal-title":"JAIR"},{"issue":"1\u20132","key":"435_CR8","first-page":"107","volume":"62","author":"P Domingos","year":"2006","unstructured":"Domingos P, Richardson M (2006) Markov logic networks. Mach Learn 62(1\u20132): 107\u2013136","journal-title":"Mach Learn"},{"key":"435_CR9","unstructured":"Fern A, Natarajan S, Judah K, Tadepalli P (2007) A decision-theoretic model of assistance. In: IJCAI"},{"key":"435_CR10","doi-asserted-by":"crossref","unstructured":"Fierens D, Blockeel H, Bruynooghe M, Ramon J (2005) Logical Bayesian networks and their relation to other probabilistic logical models. In: Proceedings of ILP-05","DOI":"10.1007\/11536314_8"},{"issue":"1","key":"435_CR11","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1023\/A:1007469218079","volume":"32","author":"S Fine","year":"1998","unstructured":"Fine S, Singer Y, Tishby N (1998) The hierarchical hidden Markov model: analysis and applications. Mach Learn 32(1): 41\u201362","journal-title":"Mach Learn"},{"key":"435_CR12","doi-asserted-by":"crossref","unstructured":"Getoor L, Friedman N, Koller D, Pfeffer A (2001) Learning probabilistic relational models. In: Dzeroski S, Lavrac N (eds) Invited contribution to the book relational data mining. Springer, Berlin","DOI":"10.1007\/978-3-662-04599-2_13"},{"key":"435_CR13","doi-asserted-by":"crossref","unstructured":"Getoor L, Grant J (2005) PRL: a probabilistic relational language. Mach Learn J 62:7\u201331","DOI":"10.1007\/s10994-006-5831-3"},{"key":"435_CR14","unstructured":"Horvitz E, Breese J, Heckerman D, Hovel D, Rommelse K (1998) The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users. In: UAI, pp 256\u2013265"},{"key":"435_CR15","doi-asserted-by":"crossref","unstructured":"Hui B, Boutilier C (2006) Who\u2019s asking for help? A Bayesian approach to intelligent assistance. In: IUI, pp 186\u2013193","DOI":"10.1145\/1111449.1111491"},{"key":"435_CR16","unstructured":"Jaeger M (1997) Relational Bayesian networks. In: UAI-97"},{"key":"435_CR17","unstructured":"Kearns MJ, Mansour Y, Ng AY (1999) A sparse sampling algorithm for near-optimal planning in large Markov decision processes. In: IJCAI"},{"key":"435_CR18","doi-asserted-by":"crossref","unstructured":"Kersting K, De Raedt L (2000) Bayesian logic programs. In: ILP","DOI":"10.1007\/3-540-44797-0_9"},{"issue":"2","key":"435_CR19","first-page":"125","volume":"6","author":"H Kim","year":"2004","unstructured":"Kim H, Lee S (2004) An intelligent information system for organizing online text documents. KAIS 6(2): 125\u2013149","journal-title":"KAIS"},{"key":"435_CR20","unstructured":"Lafferty J, McCallum A, Pereira F (2001) Conditional Random Fields,b Probabilistic Models for Segmenting and Labeling Sequence Data. In: Proceedings of the 18th international conference on machine learning"},{"issue":"2\u20133","key":"435_CR21","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.artint.2007.09.006","volume":"172","author":"KB Laskey","year":"2008","unstructured":"Laskey KB (2008) MEBN: a language for first-order Bayesian knowledge bases. Artif Intell 172(2\u20133): 140\u2013178","journal-title":"Artif Intell"},{"key":"435_CR22","unstructured":"Littman M, Cassandra AR, Kaelbling LP (2005) Learning policies for partially observable environments: scaling up. ICML"},{"issue":"31","key":"435_CR23","first-page":"261","volume":"22","author":"S Liu","year":"2008","unstructured":"Liu S, Duffy AHB, Whitfield RI, Boyle IM (2008) Integration of decision support systems to improve decision support performance. KAIS 22(31): 261\u2013286","journal-title":"KAIS"},{"key":"435_CR24","unstructured":"Muggleton S (1996) Stochastic logic programs. In: Advances in inductive logic programming"},{"key":"435_CR25","unstructured":"Murphy K, Paskin M (2001) Linear time inference in hierarchical HMMs. In: NIPS"},{"issue":"2","key":"435_CR26","first-page":"47","volume":"28","author":"K Myers","year":"2007","unstructured":"Myers K, Berry P, Blythe J, Conleyn K, Gervasio M, McGuinness D, Morley D, Pfeffer A, Pollack M, Tambe M (2007) An intelligent personal assistant for task and time management.. AI Magazine 28(2): 47\u201361","journal-title":"AI Magazine"},{"key":"435_CR27","doi-asserted-by":"crossref","unstructured":"Natarajan S, Tadepalli P, Altendorf E, Dietterich TG, Fern A, Restificar A (2005) Learning first-order probabilistic models with combining rules. In: Proceedings of ICML-05","DOI":"10.1145\/1102351.1102428"},{"key":"435_CR28","doi-asserted-by":"crossref","unstructured":"Ngo L, Haddawy P (1995) Probabilistic logic programming and Bayesian networks. In: Proceedings ACSC","DOI":"10.1007\/3-540-60688-2_51"},{"key":"435_CR29","doi-asserted-by":"crossref","unstructured":"Qin B, Xia Y, Prabhakar S (2011) Rule induction for uncertain data. Knowl Inf Syst (KAIS), 1\u201328. doi: 10.1007\/s10115-010-0335-7","DOI":"10.1007\/s10115-010-0335-7"},{"key":"435_CR30","volume-title":"Artificial Intelligence: a modern approach","author":"S Russell","year":"2002","unstructured":"Russell S, Norvig P (2002) Artificial Intelligence: a modern approach, 2nd edn. Prentice-Hall , New York","edition":"2"},{"key":"435_CR31","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1613\/jair.912","volume":"15","author":"T Sato","year":"2001","unstructured":"Sato T, Kameya Y (2001) Parameter learning of logic programs for symbolic-statistical modeling. J Artif Intell Res 15: 391\u2013454","journal-title":"J Artif Intell Res"},{"key":"435_CR32","doi-asserted-by":"crossref","unstructured":"Varakantham P, Maheswaran R, Tambe M (2005) Exploiting belief bounds: practical POMDPs for personal assistant agents. In: AAMAS","DOI":"10.1145\/1082473.1082621"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-011-0435-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-011-0435-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-011-0435-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T12:47:51Z","timestamp":1686228471000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-011-0435-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,7,30]]},"references-count":32,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2012,8]]}},"alternative-id":["435"],"URL":"https:\/\/doi.org\/10.1007\/s10115-011-0435-z","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,7,30]]}}}