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

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

This booklet constitutes the refereed court cases of the twenty first overseas convention on Case-Based Reasoning learn and improvement (ICCBR 2013) held in Saratoga Springs, long island, 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 lined quite a lot of CBR issues of curiosity either to researchers and practitioners together with case retrieval and model, similarity evaluation, case base upkeep, wisdom administration, recommender structures, multiagent platforms, textual CBR, and functions to healthcare and machine games.

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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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Springer, Heidelberg (2012) 2. : Automatically Acquiring Domain Knowledge For Adaptive Game AI Using Evolutionary Learning. In: Proceedings of the Seventeenth Innovative Applications of Artificial Intelligence Conference (IAAI 2005). AAAI Press (2005) 3. : On-Line Case-Based Plan Adaptation for Real-Time Strategy Games. In: Proceedings of the AAAI Conference (AAAI 2008). AAAI Press (2008) Case-Based Goal Selection Inspired by IBM’s Watson 43 4. : Learning to win: Case-based plan selection ´ in a real-time strategy game.

Springer, Heidelberg (2007) 8. : Automated Planning: Theory and Practice. Morgan Kaufmann (2004) 9. : Using Meta-reasoning to Improve the Performance of Case-Based Planning. C. ) ICCBR 2009. LNCS, vol. 5650, pp. 210–224. Springer, Heidelberg (2009) 10. : Goal-driven autonomy in a Navy strategy simulation. In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. AAAI Press, Atlanta (2010) 11. : Perpetual self-aware cognitive agents. AI Magazine 28(1), 23–45 (2007) 12. : Effective approaches for partial satisfaction (over-subscription) planning.

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