An Alternative Approach to Dependency-Recording Engines in Consistency-Based Diagnosis

Autor:	Carlos Alonso González, Belarmino Pulido Junquera
Rok vydání:	2000
Předmět:	Set (abstract data type) Consistency (database systems) Theoretical computer science business.industry Computer science Artificial intelligence business Representation (mathematics)
Zdroj:	Artificial Intelligence: Methodology, Systems, and Applications ISBN: 9783540410447 AIMSA
DOI:	10.1007/3-540-45331-8_11
Popis:	Consistency-based diagnosis is a main research area in Model-based diagnosis. Many approaches to consistency-based diagnosis need to compute the set of conflicts to generate diagnosis candidates. Possible conflicts are introduced as an alternative to dependency-recording engines for conflict calculation. Given a qualitative representation of system description, then search for those subsystems capable to generate predictions, and hence, capable to become conflicts. We define this concept for static systems, and later on we extend the definition to deal with continuous dynamic environments. Moreover, we explain how to do consitency-based diagnosis using possible conflicts.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::013786f4d9fd2dea6ba70e3064be6cde https://doi.org/10.1007/3-540-45331-8_11 Zobrazit plný text záznamu