787 search results - page 57 / 158 » Modelling Uncertainty in Agent Programming |
101
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CORR
2010
Springer
15 years 18 days ago
2010
Springer
Abstract. The basic aim of our study is to give a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. At first the concept of f...
94
Voted
ICTAI
2008
IEEE
15 years 7 months ago
2008
IEEE
Constraint programming has been used in many applications where uncertainty arises to model safe reasoning. The goal of constraint propagation is to propagate intervals of uncerta...
117
Voted
ECAI
2010
Springer
15 years 1 months ago
2010
Springer
Artificial agents trying to achieve communicative goals in situated interactions in the real-world need powerful computational systems for conceptualizing their environment. In ord...
83
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ATAL
2000
Springer
15 years 4 months ago
2000
Springer
Agents often have preference models that are more complicated than minimizing the expected execution cost. In this paper, we study how they should act in the presence of uncertaint...
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...