Complexity-Aware Generation of Workflows by Process-Oriented Case-Based Reasoning

2017 ◽  
pp. 207-221 ◽  
Author(s):  
Gilbert Müller ◽  
Ralph Bergmann
Keyword(s):  
Case Based Reasoning ◽  
Process Oriented ◽  
Case Based

scholarly journals The 25th International Conference on Case-Based Reasoning

AI Magazine ◽  
2018 ◽  
Vol 39 (2) ◽  
pp. 79-80
Author(s):  
David W. Aha ◽  
Kerstin Bach ◽  
Odd Erik Gundersen ◽  
Jean Lieber
Keyword(s):  
Deep Learning ◽  
Poster Session ◽  
Case Based Reasoning ◽  
International Conference ◽  
Process Oriented ◽  
Case Based

ICCBR-2017, the 25th International Conference on Case-Based Reasoning, was held in Trondheim (Norway) in June 2017. The conference included 27 original contributions presented in oral sessions and in a poster session. In addition to three invited talks, the meeting also included workshops on CBR and Deep Learning, Computer Analogy, and Process-Oriented CBR, as well as a Doctoral Consortium, the Computer Cooking Contest, and the first CBR Video Competition.

Process-oriented case-based reasoning

2014 ◽  
Vol 40 ◽  
pp. 103-105 ◽  
Author(s):  
Mirjam Minor ◽  
Stefania Montani ◽  
Juan A. Recio-García
Keyword(s):  
Case Based Reasoning ◽  
Process Oriented ◽  
Case Based

scholarly journals Automatic case acquisition from texts for process-oriented case-based reasoning

2014 ◽  
Vol 40 ◽  
pp. 153-167 ◽  
Author(s):  
Valmi Dufour-Lussier ◽  
Florence Le Ber ◽  
Jean Lieber ◽  
Emmanuel Nauer
Keyword(s):  
Case Based Reasoning ◽  
Process Oriented ◽  
Case Based

scholarly journals A Conversational Approach to Process-oriented Case-based Reasoning

2018 ◽  
Author(s):  
Christian Zeyen ◽  
Gilbert Müller ◽  
Ralph Bergmann
Keyword(s):  
Structural Properties ◽  
Case Based Reasoning ◽  
Workflow Modeling ◽  
Target Problem ◽  
The Past ◽  
Labeled Graphs ◽  
Process Oriented ◽  
Case Based ◽  
Attribute Value

Process-oriented case-based reasoning (POCBR) supports workflow modeling by retrieving and adapting workflows that have proved useful in the past. Current approaches typically require users to specify detailed queries, which can be a demanding task. Conversational case-based reasoning (CCBR) particularly addresses this problem by proposing methods that incrementally elicit the relevant features of the target problem in an interactive dialog. However, no CCBR approaches exist that are applicable for workflow cases that go beyond attribute-value representations such as labeled graphs. This paper closes this gap and presents a conversational POCBR approach (C-POCBR) in which questions related to structural properties of the workflow cases are generated automatically. An evaluation with cooking workflows indicates that C-POCBR can reduce the communication effort for users during retrieval.

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