We propose a general framework for multi-context reasoning which allows us to combine arbitrary monotonic and non-monotonic logics. Nonmonotonic bridge rules are used to specify the information flow among contexts. We investigate several notions of equilibrium representing acceptable belief states for our multi-context systems. The approach general-izes the heterogeneous monotonic multi-context systems de-veloped by F. Giunchiglia and colleagues as well as the ho-mogeneous nonmonotonic multi-context systems of Brewka, Serafini and Roelofsen. Background and Motivation Interest in formalizations of contextual information and inter-contextual information flow has steadily increased over the last years. Based on seminal papers by McCarthy (1987
Abstract. In open environments, agents need to reason with knowl-edge from various sources, represen...
Multi-Context Systems (MCSs) are a formalism for systems consisting of knowledge bases (possibly het...
Multi-context Systems (MCSs) are a formalism for systems consisting of knowledge bases (possibly het...
Nonmonotonic multi-context systems (MCS) provide a formalism to represent knowledge exchange between...
We propose an extension of the heterogeneous multi-context reasoning framework by G. Brewka and T. E...
In the introductory part, we give a brief overview of the state of the art concerning multi-context ...
We present a distributed algorithm for computing equilibria of heterogeneous nonmonotonic multi-cont...
Multi-Context Systems (MCSs) are able to formally model, in Computational Logic, distributed systems...
This paper makes the first attempt to establish a framework for possibilistic reasoning in (nonmono...
Multi-Context Systems (MCSs) introduced by Brewka and Eiter are a promising way to interlink decentr...
Abstract. We propose a framework for heterogeneous multi-context systems, in which a special kind of...
Multi-Context Systems (MCS) model, using Computational Logic, distributed systems composed of hetero...
The field of artificial intelligence, research on knowledge representation and reasoning has origina...
We propose a framework for heterogeneous multi-context systems, in which a special kind of semantic/...
Abstract. Multi-context systems can be used to represent contextual information and inter-contextual...
Abstract. In open environments, agents need to reason with knowl-edge from various sources, represen...
Multi-Context Systems (MCSs) are a formalism for systems consisting of knowledge bases (possibly het...
Multi-context Systems (MCSs) are a formalism for systems consisting of knowledge bases (possibly het...
Nonmonotonic multi-context systems (MCS) provide a formalism to represent knowledge exchange between...
We propose an extension of the heterogeneous multi-context reasoning framework by G. Brewka and T. E...
In the introductory part, we give a brief overview of the state of the art concerning multi-context ...
We present a distributed algorithm for computing equilibria of heterogeneous nonmonotonic multi-cont...
Multi-Context Systems (MCSs) are able to formally model, in Computational Logic, distributed systems...
This paper makes the first attempt to establish a framework for possibilistic reasoning in (nonmono...
Multi-Context Systems (MCSs) introduced by Brewka and Eiter are a promising way to interlink decentr...
Abstract. We propose a framework for heterogeneous multi-context systems, in which a special kind of...
Multi-Context Systems (MCS) model, using Computational Logic, distributed systems composed of hetero...
The field of artificial intelligence, research on knowledge representation and reasoning has origina...
We propose a framework for heterogeneous multi-context systems, in which a special kind of semantic/...
Abstract. Multi-context systems can be used to represent contextual information and inter-contextual...
Abstract. In open environments, agents need to reason with knowl-edge from various sources, represen...
Multi-Context Systems (MCSs) are a formalism for systems consisting of knowledge bases (possibly het...
Multi-context Systems (MCSs) are a formalism for systems consisting of knowledge bases (possibly het...