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Trace-Based Reasoning - Modeling interaction traces for reasoning on experiences

Amélie Cordier 1 Marie Lefevre 1 Pierre-Antoine Champin 1 Olivier Georgeon 1 Alain Mille 1
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : This paper addresses Trace-Based Reasoning (TBR) by using Case-Based Reasoning (CBR) as a descriptive framework. TBR is a reasoning paradigm in which inferences are made on specific objects called traces. Traces are sequential records of events observed and stored during an interactive process. We report two contributions. First, we propose a review of the current researches related to TBR. Then, we compare CBR and TBR. From this comparison, we show that the exploitation of traces instead of cases as knowledge sources raises very specific challenges. More precisely, new methods for defining similarity measures and for performing adaptation of traces are required. These new methods have to take into account the sequential properties of traces. In the discussion, we emphasis the benefits of using traces as a knowledge container in a reasoning process and we pinpoint promising applications of TBR.
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Submitted on : Wednesday, June 5, 2013 - 10:16:29 AM
Last modification on : Wednesday, July 8, 2020 - 12:43:32 PM
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  • HAL Id : hal-00830444, version 1

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Amélie Cordier, Marie Lefevre, Pierre-Antoine Champin, Olivier Georgeon, Alain Mille. Trace-Based Reasoning - Modeling interaction traces for reasoning on experiences. The 26th International FLAIRS Conference, May 2013, St. Pete Beach, Florida, United States. pp.1-15. ⟨hal-00830444⟩

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