
Estimating the Probability of Meeting a Deadline in Hierarchical Plans
Given a hierarchical plan (or schedule) with uncertain task times, we pr...
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Rational Deployment of Multiple Heuristics in IDA*
Recent advances in metareasoning for search has shown its usefulness in ...
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Selecting Computations: Theory and Applications
Sequential decision problems are often approximately solvable by simulat...
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Generic Preferences over Subsets of Structured Objects
Various tasks in decision making and decision support systems require se...
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Towards Rational Deployment of Multiple Heuristics in A*
The obvious way to use several admissible heuristics in A* is to take th...
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A New Algorithm for Finding MAP Assignments to Belief Networks
We present a new algorithm for finding maximum aposterior) (MAP) assign...
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Algorithms for IrrelevanceBased Partial MAPs
Irrelevancebased partial MAPs are useful constructs for domainindepend...
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Relevant Explanations: Allowing Disjunctive Assignments
Relevancebased explanation is a scheme in which partial assignments to ...
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Belief Updating by Enumerating HighProbability IndependenceBased Assignments
Independencebased (IB) assignments to Bayesian belief networks were ori...
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CostSharing in Bayesian Knowledge Bases
Bayesian knowledge bases (BKBs) are a generalization of Bayes networks a...
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Bayes Networks for Sonar Sensor Fusion
Wideangle sonar mapping of the environment by mobile robot is nontrivia...
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VOIaware MCTS
UCT, a stateofthe art algorithm for Monte Carlo tree search (MCTS) in ...
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MCTS Based on Simple Regret
UCT, a stateofthe art algorithm for Monte Carlo tree search (MCTS) in ...
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Observation Subset Selection as Local Compilation of Performance Profiles
Deciding what to sense is a crucial task, made harder by dependencies an...
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Doing Better Than UCT: Rational Monte Carlo Sampling in Trees
UCT, a stateofthe art algorithm for Monte Carlo tree sampling (MCTS), ...
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Rational Deployment of CSP Heuristics
Heuristics are crucial tools in decreasing search effort in varied field...
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Rational Value of Information Estimation for Measurement Selection
Computing value of information (VOI) is a crucial task in various aspect...
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SemiMyopic Sensing Plans for Value Optimization
We consider the following sequential decision problem. Given a set of it...
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Solomon Eyal Shimony
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Professor at BenGurion University of the Negev BGU AI research group, Associate editor at IEEE Transactions on Cybernetics, Member at BGU senate executive committee, Local arrangements cochair, SoCS 2015, Professor and Member of BGU AI research group