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CPRM: An Expressive Probabilistic Framework for Reasoning About Event Structure.
In this paper, a fairly general framework for reasoning from inconsistent propositional bases is defined.
We give a logical framework for reasoning with observations at different time points.
Then we will focus on development of a framework for reasoning and deduction in the web.
This paper presents a framework for reasoning about qualitative and metric temporal relations between vague time periods.
A framework for reasoning and modelling using fuzzy labels is described together with a calculus based on voting model semantics.
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Future research will focus on mathematically formal frameworks for reasoning about trust, including modeling, languages, and algorithms for computing trust.
In general, increased coherence at the introductory level can potentially help students see connections among scientific ideas that they would typically encounter in separate courses and build more robust conceptual frameworks for reasoning about a range of phenomena.
In this paper we present a framework for practical reasoning which accommodates these three distinctive features.
To fill this gap, we present LARS, a Logic-based framework for Analytic Reasoning over Streams.
Bondarenko et al. have recently proposed an abstract framework for default reasoning.
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