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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/26346
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Title: | Fully Informed Classification Systems - Simpler, Maybe Better |
Authors: | Fernandes, Ana Carvalho, Filomena Ribeiro, Jorge Vicente, Dinis Faria, João Figueiredo, Margarida Capita, António Neves, José Vicente, Henrique |
Keywords: | Public Services Eindhoven Classification Method Knowledge Representation and Reasoning Logic Programming Entropy |
Issue Date: | 2019 |
Publisher: | Springer |
Citation: | Fernandes, A., Carvalho, F., Ribeiro, J., Vicente, D., Faria, J., Figueiredo, M., Capita, A., Neves J. & Vicente., H., Fully Informed Classification Systems - Simpler, Maybe Better. Communications in Computer and Information Science, 1038, 3–16, 2019. |
Abstract: | This paper presents the starting point to adverse event reporting and learning systems designed to describe and prevent unfavorable happenings in Public Services organizations. To achieve this goal, the Eindhoven’s Classification Method was changed to house such incidents. On the other hand, the evolutionary process of the knowledge body of such systems is to be understood as a process of energy devaluation, i.e., their data/information/knowledge will be represented and handled as pure energy transactions, being such procedures and the respective outcomes object of formal proof under a Proof Theoretical approach to Problem Solving. |
URI: | http://hdl.handle.net/10174/26346 |
ISSN: | 1865-0929 (paper) 1865-0937 (electronic) |
Type: | article |
Appears in Collections: | CQE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica CIEP - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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