1,830 research outputs found
The Integration of Connectionism and First-Order Knowledge Representation and Reasoning as a Challenge for Artificial Intelligence
Intelligent systems based on first-order logic on the one hand, and on
artificial neural networks (also called connectionist systems) on the other,
differ substantially. It would be very desirable to combine the robust neural
networking machinery with symbolic knowledge representation and reasoning
paradigms like logic programming in such a way that the strengths of either
paradigm will be retained. Current state-of-the-art research, however, fails by
far to achieve this ultimate goal. As one of the main obstacles to be overcome
we perceive the question how symbolic knowledge can be encoded by means of
connectionist systems: Satisfactory answers to this will naturally lead the way
to knowledge extraction algorithms and to integrated neural-symbolic systems.Comment: In Proceedings of INFORMATION'2004, Tokyo, Japan, to appear. 12 page
A Modal Logic for Termgraph Rewriting
We propose a modal logic tailored to describe graph transformations and
discuss some of its properties. We focus on a particular class of graphs called
termgraphs. They are first-order terms augmented with sharing and cycles.
Termgraphs allow one to describe classical data-structures (possibly with
pointers) such as doubly-linked lists, circular lists etc. We show how the
proposed logic can faithfully describe (i) termgraphs as well as (ii) the
application of a termgraph rewrite rule (i.e. matching and replacement) and
(iii) the computation of normal forms with respect to a given rewrite system.
We also show how the proposed logic, which is more expressive than
propositional dynamic logic, can be used to specify shapes of classical
data-structures (e.g. binary trees, circular lists etc.)
An algebraic semantics for QVT-relations check-only transformations
Fundamenta Informaticae, 114 1, Juan de Lara, Esther Guerra, An algebraic semantics for QVT-relations check-only transformations, 73-101, Copyright 2012, with permission from IOS PressQVT is the standard for model transformation defined by the OMG in the context of the Model-Driven Architecture. It is made of several transformation languages. Among them, QVT-Relations is the one with the highest level of abstraction, as it permits developing bidirectional transformations in a declarative, relational style. Unfortunately, the standard only provides a semiformal description of its semantics, which hinders analysis and has given rise to ambiguities in existing tool implementations. In order to improve this situation, we propose a formal, algebraic semantics for QVT-Relations check-only transformations, defining a notion of satisfaction of QVT-Relations specifications by models.This work has been supported by the Spanish Ministry of Science and Innovation with projects METEORIC (TIN2008-02081) and Go Lite (TIN2011-24139), and by the R&D program of the Community of Madrid with project “e-Madrid” (S2009/TIC-1650)
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