In recent papers a new semantics, called Local Models Semantics, was presented and used to provide a foundation to reasoning with contexts. Local Models Semantics captures and makes precise the two main principles underlying contextual reasoning: the, so-called, Principle of Locality and Principle of Compatibility. In this chapter we aim at explaining the main intuitions underlying Local Models Semantics, its fundamental logical properties, and its relation with contextual reasoning. The emphasis is on motivations and intuitions, rather than on technicalities
The main subjects of this thesis are non-locality and contextuality, two fundamental features of qua...
We study refinement in the setting of local reasoning. In particular, we explore general translation...
Context-awareness is emerging as an important computing paradigm designed to address the special nee...
AbstractIn this paper we present a new semantics, called Local Models Semantics, and use it to provi...
Since McCarthy`s Turing Award speech, in 1971, the notion of context has been used in Artificial Int...
One of the main problems in formalizing common sense reasoning is that often its conclusions rely on...
We investigate the relationship between two well known formalizations of context: Propositional Logi...
This paper analyses the notion of ‘interpretation’, which is often tied to the semantic approach to ...
Contextuality in quantum physics provides a key resource for quantum information and computation. Th...
The problem of context has a long tradition in different areas of artificial intelligence (AI). Howe...
We introduce Description Logics of Context (DLCs)—an extension of Description Logics (DLs) for conte...
The notion of `context` is called to account for a multifarious variety of phenomena in philosophy o...
Contextuality in quantum physics provides a key resource for quantum information and computation. Th...
We study re nement in the setting of local reasoning. In particular, we explore general translations...
It has been recognized that AI programs suffer from a lack of generality, the first gross symptom be...
The main subjects of this thesis are non-locality and contextuality, two fundamental features of qua...
We study refinement in the setting of local reasoning. In particular, we explore general translation...
Context-awareness is emerging as an important computing paradigm designed to address the special nee...
AbstractIn this paper we present a new semantics, called Local Models Semantics, and use it to provi...
Since McCarthy`s Turing Award speech, in 1971, the notion of context has been used in Artificial Int...
One of the main problems in formalizing common sense reasoning is that often its conclusions rely on...
We investigate the relationship between two well known formalizations of context: Propositional Logi...
This paper analyses the notion of ‘interpretation’, which is often tied to the semantic approach to ...
Contextuality in quantum physics provides a key resource for quantum information and computation. Th...
The problem of context has a long tradition in different areas of artificial intelligence (AI). Howe...
We introduce Description Logics of Context (DLCs)—an extension of Description Logics (DLs) for conte...
The notion of `context` is called to account for a multifarious variety of phenomena in philosophy o...
Contextuality in quantum physics provides a key resource for quantum information and computation. Th...
We study re nement in the setting of local reasoning. In particular, we explore general translations...
It has been recognized that AI programs suffer from a lack of generality, the first gross symptom be...
The main subjects of this thesis are non-locality and contextuality, two fundamental features of qua...
We study refinement in the setting of local reasoning. In particular, we explore general translation...
Context-awareness is emerging as an important computing paradigm designed to address the special nee...