Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
In the last years we have developed a platform for the realization of embodied (conversational) agents, in a distributed logic programming framework. In this paper we will present...
In this paper the classical propositional assumption-based model is extended to incorporate probabilities for the assumptions. Then the whole model is placed into the framework of...
In this paper, we present a semantical approach to multi-agent belief revision and belief update. For this, we introduce relational structures called conditional doxastic models (...
We introduce the idea of optimisation validation, which is to formally establish that an instance of an optimising transformation indeed improves with respect to some resource mea...
David Aspinall, Lennart Beringer, Alberto Momiglia...