Qualitative knowledge to support reasoning about cases

Robert J. Aarts, Juho Rousu

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

5 Citations (Scopus)

Abstract

Our recipe planner for bioprocesses, Sophist, uses a semi-qualitative model to reason about cases. The model represents qualitative knowledge about the possible effects of differences between cases and about the possible causes of observed problems. Hence, the model is a crucial resource of adaptation knowledge. The model representation has been developed specifically to support CBR tasks. The essential notion in this representation is that of an influence. Representation of domain knowledge in an influence graph and a mapping of case-features onto nodes of such a graph, enable a variety of interesting reasoning tasks. Examples of such task illustrate how qualitative reasoning and case-based reasoning support each other in complex planning tasks.
Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development
Subtitle of host publicationSecond International Conference on Case-Based Reasoning, ICCBR-97
EditorsDavid B. Leake, Enric Plaza
PublisherSpringer
Pages489-498
ISBN (Electronic)978-3-540-69238-6
ISBN (Print)978-3-540-63233-7
DOIs
Publication statusPublished - 1997
MoE publication typeA4 Article in a conference publication
Event2nd International Conference on Case-Based Reasoning (ICCBR-97) - Providence, United States
Duration: 25 Jul 199727 Jul 1997

Publication series

SeriesLecture Notes in Computer Science
Volume1266
ISSN0302-9743

Conference

Conference2nd International Conference on Case-Based Reasoning (ICCBR-97)
Country/TerritoryUnited States
CityProvidence
Period25/07/9727/07/97

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