Handling Default Data under a Case-based Reasoning Approach

Bruno Fernandes, Mauro Freitas, Cesar Analide, Henrique Vicente, José Neves


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.


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Paper Citation

in Harvard Style

Fernandes B., Freitas M., Analide C., Vicente H. and Neves J. (2015). Handling Default Data under a Case-based Reasoning Approach . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 294-304. DOI: 10.5220/0005184602940304

in Bibtex Style

author={Bruno Fernandes and Mauro Freitas and Cesar Analide and Henrique Vicente and José Neves},
title={Handling Default Data under a Case-based Reasoning Approach},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},

in EndNote Style

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Handling Default Data under a Case-based Reasoning Approach
SN - 978-989-758-074-1
AU - Fernandes B.
AU - Freitas M.
AU - Analide C.
AU - Vicente H.
AU - Neves J.
PY - 2015
SP - 294
EP - 304
DO - 10.5220/0005184602940304