Result 1 to 20 of 46 total
Efficient solutions to factored MDPs with imprecise transition probabilities. (English)
Artif. Intell. 175, No. 9-10, 1498-1527 (2011).
1
Symbolic dynamic programming for discrete and continuous state mdps (English)
UAI, 643-652 (2011).
2
Model update for automated planning (English)
AAAI (2011).
3
Symbolic bounded real-time dynamic programming. (English)
da Rocha Costa, Antônio Carlos (ed.) et al., Advances in artificial intelligence ‒ SBIA 2010. 20th Brazilian symposium on artificial intelligence, São Bernardo do Campo, Brazil, October 23‒28, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16137-7/pbk). Lecture Notes in Computer Science 6404. Lecture Notes in Artificial Intelligence, 193-202 (2010).
4
System design modification with actions. (English)
da Rocha Costa, Antônio Carlos (ed.) et al., Advances in artificial intelligence ‒ SBIA 2010. 20th Brazilian symposium on artificial intelligence, São Bernardo do Campo, Brazil, October 23‒28, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16137-7/pbk). Lecture Notes in Computer Science 6404. Lecture Notes in Artificial Intelligence, 31-40 (2010).
5
System design modification with actions (English)
SBIA, 31-40 (2010).
6
Symbolic bounded real-time dynamic programming (English)
SBIA, 193-202 (2010).
7
Biomechanical model for the determination of forces on upper-extremity members during standard wheelchair propulsion (English)
Mathematical and Computer Modelling 49, No. 7-8, 1288-1294 (2009).
8
Efficient solutions to factored mdps with imprecise transition probabilities (English)
ICAPS (2009).
9
A logic-based agent that plans for extended reachability goals. (English)
Auton. Agents Multi-Agent Syst. 16, No. 3, 327-344 (2008).
10
Strong probabilistic planning. (English)
Gelbukh, Alexander (ed.) et al., MICAI 2008: Advances in artificial intelligence. 7th Mexican international conference on artificial intelligence, Atizapán de Zaragoza, Mexico, October 27‒31, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-88635-8/pbk). Lecture Notes in Computer Science 5317. Lecture Notes in Artificial Intelligence, 636-652 (2008).
11
Fuzzy expert system: an example in prostate cancer. (English)
Appl. Math. Comput. 202, No. 1, 78-85 (2008).
12
Using $α$-CTL to specify complex planning goals. (English)
Hodges, Wilfrid (ed.) et al., Logic, language, information and computation. 15th international workshop, WoLLIC 2008, Edinburgh, UK, July 1‒4, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-69936-1/pbk). Lecture Notes in Computer Science 5110. Lecture Notes in Artificial Intelligence, 260-271 (2008).
13
Fuzzy logic in action: applications in epidemiology and beyond. (English)
Studies in Fuzziness and Soft Computing 232. Berlin: Springer (ISBN 978-3-540-69092-4/hbk; 978-3-540-69094-8/ebook). xii, 347~p. EUR~139.05 (2008).
14
Fuzzy expert system: an example in prostate cancer (English)
Applied Mathematics and Computation 202, No. 1, 78-85 (2008).
15
Fuzzy logic in action: applications in epidemiology and beyond (English)
Studies in Fuzziness and Soft Computing 232, 1-312 (2008).
16
Using alpha-ctl to specify complex planning goals (English)
WoLLIC, 260-271 (2008).
17
Strong probabilistic planning (English)
MICAI, 636-652 (2008).
18
Planning under risk and knightian uncertainty (English)
IJCAI, 2023-2028 (2007).
19
Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes. (English)
Sichman, Jaime Simão (ed.) et al., Advances in artificial intelligence ‒ IBERAMIA-SBIA 2006. 2nd international joint conference, 10th Ibero-American conference on AI, 18th Brazilian AI symposium, Ribeirão Preto, Brazil, October 23‒27, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-45462-5/pbk). Lecture Notes in Computer Science 4140. Lecture Notes in Artificial Intelligence, 502-511 (2006).
20
Result 1 to 20 of 46 total
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