| Authors |
|
| Publication date |
2019
|
| Host editors |
-
R. Iemhoff
-
M. Moortgat
-
R. de Queiroz
|
| Book title |
Logic, Language, Information, and Computation
|
| Book subtitle |
26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, July 2-5, 2019 : proceedings
|
| ISBN |
|
| ISBN (electronic) |
|
| Series |
Lecture Notes in Computer Science
|
| Event |
26th International Workshop on Logic, Language, Information, and Computation
|
| Pages (from-to) |
140-160
|
| Publisher |
Berlin: Springer
|
| Organisations |
-
Faculty of Economics and Business (FEB) - Amsterdam Business School Research Institute (ABS-RI)
-
Faculty of Economics and Business (FEB)
|
| 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.
|
| Document type |
Conference contribution
|
| Language |
English
|
| Published at |
https://doi.org/10.1007/978-3-662-59533-6_9
|
|
Permalink to this page
|
