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Titlebook: Inductive Logic Programming; 23rd International C Gerson Zaverucha,Vítor Santos Costa,Aline Paes Conference proceedings 2014 Springer-Verla

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n the industrial domain, experts stress their concerns about security and safety. Improperly or carelessly deployed and configured systems hide security threats, and even raise issues on safety, as their behavior can threaten human life. The cloud based back-ends are getting used for processing sens
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Learning Through Hypothesis Refinement Using Answer Set Programming,o an abductive reasoning problem, can address a large class of multi-predicate, nonmonotonic learning in a sound and complete manner. An Answer Set Programming (ASP) implementation, called ASPAL, has been proposed that uses ASP fixed point computation to solve a learning task, thus delegating the se
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A BDD-Based Algorithm for Learning from Interpretation Transition,m interpretation transition has been proposed recently [.]. However, both the run time and the memory space of this algorithm are exponential, so a better data structure and an efficient algorithm have been awaited. In this paper, we propose a new learning algorithm of this method utilizing an effic
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A Direct Policy-Search Algorithm for Relational Reinforcement Learning,vironments results in a potentially infinite number of possible states, requiring learning agents to use some form of abstraction to learn effectively. Instead of forming an abstraction over the state-action space, an alternative technique is to create behaviour directly through policy-search. The a
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