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» A Troubleshooting Approach with Dependent Actions
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JAIR
2008
148views more  JAIR 2008»
14 years 9 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
POPL
2010
ACM
15 years 7 months ago
Monads in Action
In functional programming, monadic characterizations of computational effects are normally understood denotationally: they describe how an effectful program can be systematically ...
Andrzej Filinski
IAT
2007
IEEE
15 years 4 months ago
Formalizing Practical Reasoning Under Uncertainty: An Argumentation-Based Approach
Practical reasoning (PR), as advocated by philosophers is concerned by reasoning about what agents should do. It follows mainly two steps. A deliberation one for identifying the g...
Leila Amgoud, Henri Prade
ATAL
2008
Springer
14 years 11 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
CORR
2010
Springer
158views Education» more  CORR 2010»
14 years 9 months ago
Epistemic Model Checking for Knowledge-Based Program Implementation: an Application to Anonymous Broadcast
Knowledge-based programs provide an abstract level of description of protocols in which agent actions are related to their states of knowledge. The paper describes how epistemic mo...
Omar I. Al-Bataineh, Ron van der Meyden