735 research outputs found
Theory of Regulatory Compliance for Requirements Engineering
Regulatory compliance is increasingly being addressed in the practice of
requirements engineering as a main stream concern. This paper points out a gap
in the theoretical foundations of regulatory compliance, and presents a theory
that states (i) what it means for requirements to be compliant, (ii) the
compliance problem, i.e., the problem that the engineer should resolve in order
to verify whether requirements are compliant, and (iii) testable hypotheses
(predictions) about how compliance of requirements is verified. The theory is
instantiated by presenting a requirements engineering framework that implements
its principles, and is exemplified on a real-world case study.Comment: 16 page
Suggestions for a non-monotonic feature logic
We use Scott's domain theory and methods from Reiter's default logic to suggest some ways of modelling default constraints in feature logic. We show how default feature rules, derived from default constraints, can be used to give ways to augment strict feature structures with default information
Logical Omnipotence and Two notions of Implicit Belief
The most widespread models of rational reasoners (the model based on modal epistemic logic and the model based on probability theory) exhibit the problem of logical omniscience. The most common strategy for avoiding this problem is to interpret the models as describing the explicit beliefs of an ideal reasoner, but only the implicit beliefs of a real reasoner. I argue that this strategy faces serious normative issues. In this paper, I present the more fundamental problem of logical omnipotence, which highlights the normative content of the problem of logical omniscience. I introduce two developments of the notion of implicit belief (accessible and stable belief ) and use them in two versions of the most common strategy applied to the problem of logical omnipotence
Logic Programming Approaches for Representing and Solving Constraint Satisfaction Problems: A Comparison
Many logic programming based approaches can be used to describe and solve
combinatorial search problems. On the one hand there is constraint logic
programming which computes a solution as an answer substitution to a query
containing the variables of the constraint satisfaction problem. On the other
hand there are systems based on stable model semantics, abductive systems, and
first order logic model generators which compute solutions as models of some
theory. This paper compares these different approaches from the point of view
of knowledge representation (how declarative are the programs) and from the
point of view of performance (how good are they at solving typical problems).Comment: 15 pages, 3 eps-figure
A simple sequent calculus for partial functions
AbstractUsually, the extension of classical logic to a three-level valued logic results in a complicated calculus, with side-conditions on the rules of logic in order to ensure consistency. One reason for the necessity of side-conditions is the presence of nonmonotonic operators. Another reason is the choice of consequence relation. Side-conditions severely violate the symmetry of the logic. By limiting the extension to monotonic cases and by choosing an appropriate consequence relation, a simple calculus for three-valued logic arises. The logic has strong correspondences to ordinary classical logic and, in particular, the symmetry of the Genzen sequent calculus (LK) is preserved, leading to a simple proof for cut elimination
Problem solving in ID-logic with aggregates: some experiments
The goal of the LP+ project at the K.U.Leuven is to design an expressive
logic, suitable for declarative knowledge representation, and to develop
intelligent systems based on Logic Programming technology for solving
computational problems using the declarative specifications. The ID-logic is an
integration of typed classical logic and a definition logic. Different
abductive solvers for this language are being developed. This paper is a report
of the integration of high order aggregates into ID-logic and the consequences
on the solver SLDNFA.Comment: 9 pages conference: NMR2000, special track on abductive reasonin
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