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ITS
2010
Springer
542views Multimedia» more  ITS 2010»
14 years 7 months ago
A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds
This paper presents a case-based reasoning (CBR) approach to provide adaptive support in microworlds. Interaction in microworlds is complex and unstructured, making the analysis of...
Sergio Gutiérrez Santos, Mihaela Cocea, Geo...
AEPIA
2002
159views more  AEPIA 2002»
14 years 9 months ago
Analysing Rough Sets weighting methods for Case-Based Reasoning Systems
Case-Based Reasoning systems retrieve cases using a similarity function based on the K-NN or some derivatives. These functions are sensitive to irrelevant, interacting or noisy fe...
Maria Salamó, Elisabet Golobardes
AIIA
2005
Springer
15 years 3 months ago
Towards a General Framework for Substitutional Adaptation in Case-Based Reasoning
Abstract. Adaptation is one of the most problematic steps in the design and development of Case Based Reasoning (CBR) systems, as it may require considerable domain knowledge and i...
Sara Manzoni, Fabio Sartori, Giuseppe Vizzari
75
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EWCBR
2004
Springer
15 years 2 months ago
Dialogue Management for Conversational Case-Based Reasoning
Two key objectives of conversational case-based reasoning (CCBR) systems are (1) eliciting case facts in a manner that minimizes the user’s burden in terms of resources such as t...
Karl Branting, James C. Lester, Bradford W. Mott
EWCBR
2008
Springer
14 years 11 months ago
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...