We outline a procedure called communicative and material functions analysis that can be used to derive business modeling concepts. It is rooted in the language-action perspective o...
In this paper, we propose a logic of action and causality. The most important part of our contribution is a semantics that integrates action, temporal structure, and probability. ...
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Inference and decision making with probabilistic user models may be infeasible on portable devices such as cell phones. We highlight the opportunity for storing and using precomput...
Eric Horvitz, Paul Koch, Raman Sarin, Johnson Apac...
Abstract. Use Cases are widely used for specifying systems, but their semantics are unclear in ways that make it difficult to apply use cases to complex problems. In this paper, we...