Abstract
By ‘informational entropy’, we understand an inherent boundary to knowability, due e.g. to perceptual, theoretical, evidential or linguistic limits. In this paper, we discuss a logical framework in which this boundary is incorporated into the semantic and deductive machinery, and outline how this framework can be used to model various situations in which informational entropy arises.
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CITATION STYLE
Conradie, W., Craig, A., Palmigiano, A., & Wijnberg, N. M. (2019). Modelling Informational Entropy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11541 LNCS, pp. 140–160). Springer Verlag. https://doi.org/10.1007/978-3-662-59533-6_9
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