We describe a discrete time probabilitylogic for use as the representation language of a temporal knowledge base. In addition to the usual expressive power of a discrete temporal ...
Scott D. Goodwin, Howard J. Hamilton, Eric Neufeld...
Symbolic AI systems typically have difficulty reasoning about motion in continuous environments, such as determining whether a cornering car will clear a close obstacle. Bimodal s...
It is often the case that agents within a system have distinct types of knowledge. Furthermore, whilst common goals may be agreed upon, the particular representations of the indiv...
We elaborate on the mathematical foundations of the meaning coordination problem that agents face in open environments. We investigate to which extend the BarwiseSeligman theory o...
Two currently active strands of research on logics for multi-agent systems are dynamic epistemic logic, focusing on the epistemic consequences of actions, and logics of coalitiona...