Abstract
A computer viewed as a technological encapulation of logic is a fine ideal. However, given the laws of physics actually tell us that computers will make mistakes, roll in "to err is human" in software development and we’re some way from the ideal. Perhaps we might review how probabilistic reasoning, originally expounded in the early 18th century by the Revd Bayes and adopted now as the underpinning of machine learning, could be brought to bear on software and systems design. Tales from the trenches and some views for the future.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
McAuley, D. (2002). Systems Design with the Reverend Bayes. In: Bustard, D., Liu, W., Sterritt, R. (eds) Soft-Ware 2002: Computing in an Imperfect World. Soft-Ware 2002. Lecture Notes in Computer Science, vol 2311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46019-5_30
Download citation
DOI: https://doi.org/10.1007/3-540-46019-5_30
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43481-8
Online ISBN: 978-3-540-46019-0
eBook Packages: Springer Book Archive