@inbook{e672320712f048988591072b107bdabf,
title = "Coherence measure based on average use of formulas",
abstract = "Coherence is a positive virtue of theories, and its importance in theory construction is beyond debate. Unfortunately, however, a rigorous and computable definition of coherence is conspicuously lacking in the literature. This paper attempts to remedy this situation by formalising this notion of coherence and suggesting a measure. Roughly speaking, we suggest that a theory is coherent to the degree that its members (read formulas) are required to account for the intended class of observations. This approach is motivated by Bonjour{\textquoteright}s account of coherence. We also generalise this notion of coherence to work in the context of a potentially infinite long sequence of observations.",
author = "Rex Kwok and Abhaya Nayak and Norman Foo",
year = "1998",
doi = "10.1007/BFb0095300",
language = "English",
isbn = "9783540652717",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "553--564",
editor = "Hing-Yan Lee and Hiroshi Motoda",
booktitle = "PRICAI'98: Topics in Artificial Intelligence",
address = "United States",
note = "5th Pacific Rim Intemational Conference on Artificial Intelligence, PRICAI 1998 ; Conference date: 22-11-1998 Through 27-11-1998",
}