SHYSTER is a legal expert system developed at the Australian National University in Canberra in 1993. It was written as the doctoral dissertation of James Popple under the supervision of Robin Stanton, Roger Clarke, Peter Drahos, and Malcolm Newey. A full technical report of the expert system, and a book further detailing its development and testing have also been published. SHYSTER emphasises its pragmatic approach, and posits that a legal expert system need not be based upon a complex model of legal reasoning in order to produce useful advice. Although SHYSTER attempts to model the way in which lawyers argue with cases, it does not attempt to model the way in which lawyers decide which cases to use in those arguments. SHYSTER is of a general design, permitting its operation in different legal domains. It was designed to provide advice in areas of case law that have been specified by a legal expert using a bespoke specification language. Its knowledge of the law is acquired, and represented, as information about cases. It produces its advice by examining, and arguing about, the similarities and differences between cases. It derives its name from Shyster: a slang word for someone who acts in a disreputable, unethical, or unscrupulous way, especially in the practice of law and politics. (Wikipedia).
Expert Systems Lesson 1 - Using an expert system
In this lesson we talk about what an expert system is and we also use the expert system I have created to get a feel of what an expert system does. Subtitles: English Link to expert system used in video:http://magicmonktutorials.com/IT/expertsystem/index.html Link to lesson 2: https://w
From playlist Expert Systems / Robotics
Expert Systems lesson 2 - What makes up an Expert System
In this lesson we take a deeper look at what makes up an Expert System - The Knowledge Base, the Inference Engine, and the shell program. We explain each one in detail with examples. Subtitles: English Topic covered in: Year 11 IPT Course, Queensland, Australia
From playlist Expert Systems / Robotics
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From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Reactive Systems use a high-performance software architecture. They are resilient under stress, and their reactive design allows them to scale elastically to meet demand. The reactive design approach allows the creation of more complex, more flexible systems and forms the basis for some of
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Sparse Expert Models (Switch Transformers, GLAM, and more... w/ the Authors)
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This video is about Fuzzy Logic Systems - Part 2: Fuzzy Inference System
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From playlist TV, FILMS, & BOOKS
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From playlist Mathematics
The 6 Most Common Myths About Cancer
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Want to become an SEO expert? This video is for you. In this video I’ll show you how I went from someone that hated SEO to a world-renowned SEO expert. Specifically, here’s what you’ll learn in the video. First, I’ll show you what you need to know in order to learn the basics of S
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5 Incredible Facts About Your Brain
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