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Download Case-Based Reasoning Research and Development: 21st by Amira Abdel-Aziz, Weiwei Cheng (auth.), Sarah Jane Delany, PDF

By Amira Abdel-Aziz, Weiwei Cheng (auth.), Sarah Jane Delany, Santiago Ontañón (eds.)

This ebook constitutes the refereed complaints of the twenty first overseas convention on Case-Based Reasoning study and improvement (ICCBR 2013) held in Saratoga Springs, new york, united states, in July 2013.
The 17 revised complete papers provided including nine posters were
carefully reviewed and chosen from 39 submissions. The displays and posters coated a variety of CBR subject matters of curiosity either to researchers and practitioners together with case retrieval and variation, similarity evaluate, case base upkeep, wisdom administration, recommender platforms, multiagent platforms, textual CBR, and purposes to healthcare and computing device games.

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Read Online or Download Case-Based Reasoning Research and Development: 21st International Conference, ICCBR 2013, Saratoga Springs, NY, USA, July 8-11, 2013. Proceedings PDF

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Extra info for Case-Based Reasoning Research and Development: 21st International Conference, ICCBR 2013, Saratoga Springs, NY, USA, July 8-11, 2013. Proceedings

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The LPGS starts a second MapReduce job on the first job’s results. This job attempts to count all of the slot outcomes for this user that are equivalent. The job first groups all of the cases where the end context was the same. When it finds two cases that meet this criteria, it checks to see if the final answers matched. If that is not the case, later analysis will be done to determine which answer (if any) is most appropriate to learn. Finalize. After this step completes, the LPGS starts a finalize function over the resulting groups.

As previously mentioned our objective is to embed these goal selection techniques into GDA agents. GDA agents select their goals based on the explanation of a discrepancy. A number of techniques have been suggested for goal selection in GDA research. These include using rules that map the explanation to the goal to pursue next [11, 14]. , [10]). We believe that using priority lists is a natural way to integrate our work with GDA; since each goal will be assigned a score, these scores can be used to update the priorities in the list.

3 Case Retrieval When a user begins a task in the NLS, before the NLS prompts the user for each slot in the form (the new case to be solved), it first sends the new case features to the Search Service to see if there is an existing preferential value to place in the slot from the case-base. Fig. 2 shows an example of preferring learned preferences over asking the user. Fig. 2. Flow diagram for a portion of ’Book A Flight’ dialogue. The system is resolving whether or not rules exist in order to avoid an explicit prompt for ’Departure City’.

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