A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Abstract. Artificial selection of microbial ecosystems for their collective function has been shown to be effective in laboratory experiments. In previous work, we used evolutionar...
Given a set P of natural numbers, we consider infinite games where the winning condition is a regular -language parametrized by P. In this context, an -word, representing a play, h...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
We discuss the problem of concurrent error detection (CED) with bounded latency in finite state machines (FSMs). The objective of this approach is to reduce the overhead of CED, a...