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Home: Expert Systems
Academic,
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- - Add URL: Suggest an academic site
- URL: http://www.neuron.co.uk/addurl1.html
If you know of a web site that should be included in this category, please feel free to suggest it.
Bayesian Knowledge Discovery
URL: http://kmi.open.ac.uk/projects/bkd
Home page of the Bayesian Knowledge Discovery Project, a joint effort of the Knowledge Media Institute and the Department of Statistics of The Open University.
CAMIS: Historical Projects
URL: http://smi-web.stanford.edu/research/history.html
Descriptions of some past research projects at Stanford in medical informatics and artificial intelligence, including Dendral and Mycin.
Clips and Perl with Extentions (CAPE)
URL: http://www.hcrc.ed.ac.uk/~robert/CAPE
CAPE is a combined programming environment which allows programs to be written in Clips, a forward-chaining rule-based system which was originally developed by NASA, and Perl.
Constructing Fuzzy
URL: http://members.aol.com/wsiler
This site deals with the construction of expert systems for general-purpose fuzzy reasoning.
Description Logics
URL: http://dl.kr.org
Description Logics are considered the most important knowledge representation formalism unifying and giving a logical basis to the well known traditions of Frame-based systems, Semantic Networks and KL-ONE-like languages, Object-Oriented representations, Semantic data models, and Type systems.
FAQ: Expert System Shells 1/1 [Monthly Posting]
URL: http://www.cs.cmu.edu/Groups/AI/html/faqs/ai/expert/part1/faq.html
Expert System Shells Frequently Asked Questions (FAQ).
Introduction to Artificial Intelligence and Expert Systems
URL: http://www.bus.orst.edu/faculty/brownc/es_tutor/es_tutor.htm
Brief overview of AI
Knowledge Sharing Links
URL: http://plato.clickshop.com/pdkb/links.html
A knowledge sharing jump list maintained by Seth Russell.
Stanford Knowledge Systems Laboratory
URL: http://www-ksl.stanford.edu
The Knowledge Systems Lab (KSL) conducts research in the core Artificial Intelligence areas of knowledge representation and reasoning, within the Department of Computer Science at Stanford University.
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