We propose a framework for heterogeneous multi-context systems, in which a special kind of semantic/implicit bridge rules are introduced. Traditional bridge rules in heterogeneous multi-context systems may make the syntax and the semantics of a context more complex, e.g., in the approach of [3] an agent may have to facing a context composed by a description logic systems and a logic program with default negations. In this paper we hide the bridge rules by semantic binding on foreign knowledge fragment, and track the semantic property of a belief/knowledge in one context by a mirror-image of it in the other context. This framework can manage heterogeneous multi-contexts in a simple way, and it keeps the original reasoning properties of the c...
In open environments, agents need to reason with knowledge from various sources, represented in diff...
Multi-Context Systems are an expressive formalism to model (possibly) non-monotonic information exch...
Cover title.Includes bibliographical references (p. 35-37).Cheng Hian Goh, Stuart E. Madnick, Michae...
Abstract. We propose a framework for heterogeneous multi-context systems, in which a special kind of...
In the introductory part, we give a brief overview of the state of the art concerning multi-context ...
We propose an extension of the heterogeneous multi-context reasoning framework by G. Brewka and T. E...
We propose a general framework for multi-context reasoning which allows us to combine arbitrary mono...
Publication in progressMulti-context systems (MCSs) are an important framework for heterogeneous com...
In this paper we consider how to enhance flexibility and generality in Multi-Context Systems (MCS) b...
Multi-Context Systems (MCS) model, using Computational Logic, distributed systems composed of hetero...
Abstract. In open environments, agents need to reason with knowl-edge from various sources, represen...
Multi-Context Systems (MCSs) are able to formally model, in Computational Logic, distributed systems...
In open environments, agents need to reason with knowledge from various sources, represented in diff...
The field of artificial intelligence, research on knowledge representation and reasoning has origina...
Since McCarthy`s Turing Award speech, in 1971, the notion of context has been used in Artificial Int...
In open environments, agents need to reason with knowledge from various sources, represented in diff...
Multi-Context Systems are an expressive formalism to model (possibly) non-monotonic information exch...
Cover title.Includes bibliographical references (p. 35-37).Cheng Hian Goh, Stuart E. Madnick, Michae...
Abstract. We propose a framework for heterogeneous multi-context systems, in which a special kind of...
In the introductory part, we give a brief overview of the state of the art concerning multi-context ...
We propose an extension of the heterogeneous multi-context reasoning framework by G. Brewka and T. E...
We propose a general framework for multi-context reasoning which allows us to combine arbitrary mono...
Publication in progressMulti-context systems (MCSs) are an important framework for heterogeneous com...
In this paper we consider how to enhance flexibility and generality in Multi-Context Systems (MCS) b...
Multi-Context Systems (MCS) model, using Computational Logic, distributed systems composed of hetero...
Abstract. In open environments, agents need to reason with knowl-edge from various sources, represen...
Multi-Context Systems (MCSs) are able to formally model, in Computational Logic, distributed systems...
In open environments, agents need to reason with knowledge from various sources, represented in diff...
The field of artificial intelligence, research on knowledge representation and reasoning has origina...
Since McCarthy`s Turing Award speech, in 1971, the notion of context has been used in Artificial Int...
In open environments, agents need to reason with knowledge from various sources, represented in diff...
Multi-Context Systems are an expressive formalism to model (possibly) non-monotonic information exch...
Cover title.Includes bibliographical references (p. 35-37).Cheng Hian Goh, Stuart E. Madnick, Michae...