Hybrid probabilistic programs framework [5] is a variation of probabilistic annotated logic programming approach, which allows the user to explicitly encode the available knowledge...
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
In this paper, we introduce a formal-language model for explicitly formalizing agent-environment interaction in a multiagent systems (MAS) framework: Conversational Grammar System...
We introduce a framework for texturing volumetric objects with displacement maps and texture maps, which are introduced as volume modeling tools. In this framework, an implicit-to...
Abstract. We introduce a logical framework suitable to formalize structures of epistemic agents. Such a framework is based on the notion of weighted directed acyclic graphs (WDAGs)...