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TitleHandling default data under a case-based reasoning approach
Author(s)Fernandes, Bruno
Freitas, Mauro
Analide, Cesar
Vicente, Henrique
Neves, José
KeywordsCase-Based Reasoning
Intelligent Systems
Similarity Analysis
Issue dateJan-2015
CitationFernandes, B., Freitas, M., Analide, C., Vicente, H. & Neves, J., Handling Default Data Under a Case-Based Reasoning Approach. In S. Loiseau, J. Filipe, B. Duval & J. van den Herik Eds., Proceedings of the 7th International Conference on Agents and Artificial Intelligence (ICAART 2015), Vol. II, pp. 294–304, Scitepress – Science and Technology Publications, Lisbon, 2015, DOI 10.5220/0005184602940304
Abstract(s)The knowledge acquired through past experiences is of the most importance when humans or machines try to find solutions for new problems based on past ones, which makes the core of any Case-based Reasoning approach to problem solving. On the other hand, existent CBR systems are neither complete nor adaptable to specific domains. Indeed, the effort to adapt either the reasoning process or the knowledge representation mechanism to a new problem is too high, i.e., it is extremely difficult to adapt the input to the computational framework in order to get a solution to a particular problem. This is the drawback that is addressed in this work.
TypeConference paper
AccessOpen access
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

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