Visual Analytics is the science of applying reasoning and analysis techniques to large, complex real-world data for problem solving using visualizations. Real world knowledge gath...
In this paper we demonstrate how a qualitative framework for decision making can be used to model scenarios from experimental economic studies and we show how our approach explains...
Trevor J. M. Bench-Capon, Katie Atkinson, Peter Mc...
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...
We are concerned with temporalreasoning problems where there is uncertainty about the order in which events occur. The task of temporal reasoning is to derive an event sequence co...
The Constraint-Based Agent (CBA) framework is a set of tools for designing, simulating, building, verifying, optimizing, learning and debugging controllers for agents embedded in a...