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AMAI
2004
Springer
16 years 19 days ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
FROCOS
2007
Springer
16 years 1 months ago
Combining Proof-Producing Decision Procedures
Constraint solvers are key modules in many systems with reasoning capabilities (e.g., automated theorem provers). To incorporate constraint solvers in such systems, the capability ...
Silvio Ranise, Christophe Ringeissen, Duc-Khanh Tr...
ATAL
2010
Springer
15 years 8 months ago
To teach or not to teach?: decision making under uncertainty in ad hoc teams
In typical multiagent teamwork settings, the teammates are either programmed together, or are otherwise provided with standard communication languages and coordination protocols. ...
Peter Stone, Sarit Kraus
CSL
2001
Springer
15 years 11 months ago
Uniform Derivation of Decision Procedures by Superposition
We show how a well-known superposition-based inference system for first-order equational logic can be used almost directly as a decision procedure for various theories including l...
Alessandro Armando, Silvio Ranise, Michaël Ru...
EUSFLAT
2003
155views Fuzzy Logic» more  EUSFLAT 2003»
15 years 8 months ago
Bayesian networks for transport decision scenarios
Bayesian networks are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. We will analyze Bayesian network...
Alexander Holland