38,043 research outputs found
Using evidence combination for transformer defect diagnosis
This paper describes a number of methods of evidence combination, and their applicability to the domain of transformer defect diagnosis. It explains how evidence combination fits into an on-line and implemented agent-based condition monitoring system, and the benefits of giving selected agents reflective abilities. Reflection has not previously been deployed in an industrial setting, and theoretical work has been in domains other than power engineering. This paper presents the results of implementing five different methods of evidence combination, showing that reflective techniques give greater accuracy than non-reflective
LeoPARD --- A Generic Platform for the Implementation of Higher-Order Reasoners
LeoPARD supports the implementation of knowledge representation and reasoning
tools for higher-order logic(s). It combines a sophisticated data structure
layer (polymorphically typed {\lambda}-calculus with nameless spine notation,
explicit substitutions, and perfect term sharing) with an ambitious multi-agent
blackboard architecture (supporting prover parallelism at the term, clause, and
search level). Further features of LeoPARD include a parser for all TPTP
dialects, a command line interpreter, and generic means for the integration of
external reasoners.Comment: 6 pages, to appear in the proceedings of CICM'2015 conferenc
Enhancing Workflow with a Semantic Description of Scientific Intent
Peer reviewedPreprin
Early aspects: aspect-oriented requirements engineering and architecture design
This paper reports on the third Early Aspects: Aspect-Oriented Requirements Engineering and Architecture Design Workshop, which has been held in Lancaster, UK, on March 21, 2004. The workshop included a presentation session and working sessions in which the particular topics on early aspects were discussed. The primary goal of the workshop was to focus on challenges to defining methodical software development processes for aspects from early on in the software life cycle and explore the potential of proposed methods and techniques to scale up to industrial applications
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