In a previous paper, we proposed a first formal and conceptual comparison between the two important formalizations of context in AI: Propositional Logic of Context (PLC) and Local Models Semantics/MultiContext Systems (LMS/PLC) The result was that LMS/MCS is at least as general as PLC, as it can be embedded into a particular class of MCS, called MPLC. In this paper we go beyond that result, and prove that, under some important restrictions (including the hypothesis that each context has finite and homogeneous propositional languages), MCS/LMS can be embedded in PLC with generic axioms. To prove this theorem, we prove that MCS cannot be embedded in PLC using only lifting axioms to encode bridge rules. This is an important result for a genera...
In this paper we extend the Propositional Logic of Context, (Buvac & Mason 1993; Buvac, Buvac, ...
Multi-Context Systems (MCS) model, using Computational Logic, distributed systems composed of hetero...
We propose an extension of the heterogeneous multi-context reasoning framework by G. Brewka and T. E...
We investigate the relationship between two well known formalizations of context: Propositional Logi...
The problem of context has a long tradition in different areas of artificial intelligence (AI). Howe...
In this paper we investigate the simple logical properties of contexts. We describe both the syntax ...
In this paper we investigate the simple logical properties of contexts. We describe both the syntax ...
These notes discuss formalizing contexts as first class objects. The basic relation is ist(c, p). It...
In the introductory part, we give a brief overview of the state of the art concerning multi-context ...
In the last decade the concept of context has been extensively exploited in amny research areas, e.g...
These notes discuss formalizing contexts as first class objects. The basic relationships are: ist(c...
Context Logic (CL) is a logic in the original sense, but more than that, it is a methodology for des...
. In this paper we investigate the semantic properties of contexts. We describe the syntax and seman...
Logical AI develops computer programs that represent what they know about the world primarily by log...
similar style of reasoning about structured data. They each consist of a structural (separating) com...
In this paper we extend the Propositional Logic of Context, (Buvac & Mason 1993; Buvac, Buvac, ...
Multi-Context Systems (MCS) model, using Computational Logic, distributed systems composed of hetero...
We propose an extension of the heterogeneous multi-context reasoning framework by G. Brewka and T. E...
We investigate the relationship between two well known formalizations of context: Propositional Logi...
The problem of context has a long tradition in different areas of artificial intelligence (AI). Howe...
In this paper we investigate the simple logical properties of contexts. We describe both the syntax ...
In this paper we investigate the simple logical properties of contexts. We describe both the syntax ...
These notes discuss formalizing contexts as first class objects. The basic relation is ist(c, p). It...
In the introductory part, we give a brief overview of the state of the art concerning multi-context ...
In the last decade the concept of context has been extensively exploited in amny research areas, e.g...
These notes discuss formalizing contexts as first class objects. The basic relationships are: ist(c...
Context Logic (CL) is a logic in the original sense, but more than that, it is a methodology for des...
. In this paper we investigate the semantic properties of contexts. We describe the syntax and seman...
Logical AI develops computer programs that represent what they know about the world primarily by log...
similar style of reasoning about structured data. They each consist of a structural (separating) com...
In this paper we extend the Propositional Logic of Context, (Buvac & Mason 1993; Buvac, Buvac, ...
Multi-Context Systems (MCS) model, using Computational Logic, distributed systems composed of hetero...
We propose an extension of the heterogeneous multi-context reasoning framework by G. Brewka and T. E...