In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
Social choice rules are often evaluated and compared by inquiring whether they fulfill certain desirable criteria such as the Condorcet criterion, which states that an alternativ...
Reasoning in legal and social domains appears not to be well dealt with by deductive approaches. This is because such reasoning is open-endedly defeasible, and because the various ...
In this paper, we focus on the problem of existence of and computing small and large stable models. We show that for every xed integer k, there is a linear-time algorithm to decid...
In Description Logics (DLs), both tableau-based and automata-based algorithms are frequently used to show decidability and complexity results for basic inference problems such as c...