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Title: Handling Default Data under a Case-Based Reasoning Approach
Authors: Fernandes, Bruno
Freitas, Mauro
Analide, César
Vicente, Henrique
Neves, José
Editors: Loiseau, Stephane
Filipe, Joaquim
Duval, Béatrice
van den Herik, Jaap
Keywords: Case-based Reasoning
Intelligent Systems
Similarity Analysis
Issue Date: 2015
Publisher: Scitepress – Science and Technology Publications
Citation: Fernandes, 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.
Abstract: 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.
ISBN: 978-989-758-074-1
Type: article
Appears in Collections:QUI - Artigos em Livros de Actas/Proceedings
CQE - Artigos em Livros de Actas/Proceedings

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