Fernandes, AnaCarvalho, FilomenaRibeiro, JorgeVicente, DinisFaria, JoãoFigueiredo, MargaridaCapita, AntónioNeves, JoséVicente, Henrique2026-03-262026-03-262019Fernandes, A. et al. (2019). Fully Informed Classification Systems Simpler, Maybe Better. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O., Musabirov, I. (eds) Digital Transformation and Global Society. DTGS 2019. Communications in Computer and Information Science, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-37858-5_1978303037857897830303785851865-09291865-0937http://hdl.handle.net/10400.8/16017This 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.engEntropyLogic programmingKnowledge representation and reasoningEindhoven classification methodPublic servicesbook part10.1007/978-3-030-37858-5_1