Epistemology and Artificial Intelligence

Journal of Applied Logic 2 (4):469-93 (2004)
Abstract
In this essay we advance the view that analytical epistemology and artificial intelligence are complementary disciplines. Both fields study epistemic relations, but whereas artificial intelligence approaches this subject from the perspective of understanding formal and computational properties of frameworks purporting to model some epistemic relation or other, traditional epistemology approaches the subject from the perspective of understanding the properties of epistemic relations in terms of their conceptual properties. We argue that these two practices should not be conducted in isolation. We illustrate this point by discussing how to represent a class of inference forms found in standard inferential statistics. This class of inference forms is interesting because its members share two properties that are common to epistemic relations, namely defeasibility and paraconsistency. Our modeling of standard inferential statistical arguments exploits results from both logical artificial intelligence and analytical epistemology. We remark how our approach to this modeling problem may be generalized to an interdisciplinary approach to the study of epistemic relation
Keywords statistical default logic  uncertain reasoning  knowledge representation  non-monotonic reasoning
Categories (categorize this paper)
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index Translate to english
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 11,392
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA

No references found.

Citations of this work BETA
Similar books and articles
Robert A. Kowalski & Francesca Toni (1996). Abstract Argumentation. Artificial Intelligence and Law 4 (3-4):275-296.
Mark Jago (2009). Epistemic Logic for Rule-Based Agents. Journal of Logic, Language and Information 18 (1):131-158.
Analytics

Monthly downloads

Added to index

2011-08-29

Total downloads

14 ( #115,902 of 1,102,917 )

Recent downloads (6 months)

1 ( #297,281 of 1,102,917 )

How can I increase my downloads?

My notes
Sign in to use this feature


Discussion
Start a new thread
Order:
There  are no threads in this forum
Nothing in this forum yet.