Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
We present a data symmetry reduction approach for model temporal-epistemic logic. The technique abstracts the epistemic indistinguishably relation for the knowledge operators, and ...
Mika Cohen, Mads Dam, Alessio Lomuscio, Hongyang Q...
We study games in which the choices available to players are not fixed, and may change during the course of play. Specifically, we consider a model in which players may switch st...
In this paper we present MD, a logical model for OLAP systems, and show how it can be used in the design of multidimensional databases. Unlike other models for multidimensional dat...
The modal logic FULL is designed to capture strong bisimulation over early symbolic transition systems (STSs) for full LOTOS. It provides a compact way of expressing and verifying ...