We present systems of logic programming agents (LPAS) to model the interactions between decision-makers while evolving to a conclusion. Such a system consists of a number of agents...
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
Abstract. We develop an algebraic modal logic that combines epistemic and dynamic modalities with a view to modelling information acquisition (learning) by automated agents in a ch...
We give a denotational semantics to a type and effect system tracking reading and writing to global variables holding values that may include higher-order effectful functions. Reļ...
Nick Benton, Andrew Kennedy, Lennart Beringer, Mar...
This paper addresses the notion of declarative goals as used in agent programming. Declarative goals describe desirable states, and semantics of these goals in an agent programmin...
Birna van Riemsdijk, Mehdi Dastani, John-Jules Ch....