Titlebook: Logics in Artificial Intelligence; 14th European Confer Eduardo Fermé,Jo?o Leite Conference proceedings 2014 Springer International Publish

過去分詞

Anticoagulants

conduct

Non-classical Planning with a Classical Planner: The Power of Transformationsle them to deal with large problems, and the transformations that have been developed for using these planners to deal with non-classical features such as soft goals, hidden goals to be recognized, planning with incomplete information and sensing, and multiagent nested beliefs.

發(fā)微光

Opportunities for Argument-Centric Persuasion in Behaviour Changement, there is the opportunity for argument-centric persuasion in behaviour change. In this paper, key requirements for this will be presented, together with some discussion of how computational models of argumentation can be harnessed.

promote

索賠

SAT Modulo Graphs: Acyclicityw that all existing encodings of acyclicity constraints in SAT are either prohibitively large or do not sanction all inferences made by the constraint propagator. Our experiments demonstrate the advantages of our solver over other approaches for handling acyclicity.

HIKE

ERUPT

Logics for Approximating Implication Problems of Saturated Conditional Independenceed. The latter appeal to applications in which the existence of random variables is uncertain, for example, when statements are integrated from different sources, when random variables are unknown or when they shall remain hidden.

cartilage

Tight Complexity Bounds for Reasoning in the Description Logic $mathcal{BE{kern-.1em}L}$bsumption relations from a . knowledge base. Using this structure, we show that probabilistic reasoning in . can be reduced in polynomial time to standard Bayesian network inferences, thus obtaining tight complexity bounds for reasoning in ..

鳴叫

Enumerating Prime Implicants of Propositional Formulae in Conjunctive Normal Formmeration approach is then enhanced by an original use of the boolean functions or gates usually involved in many CNF instances encoding real-world problems. Experimental evaluation on several classes of CNF instances shows the feasibility of our proposed framework.