'Certainty factors' diaporamas de présentation

Reasoning with Uncertainty; Probabilistic Reasoning

Reasoning with Uncertainty; Probabilistic Reasoning. Foundations of Artificial Intelligence. Reasoning with Uncertainty. Non-monotonic Reasoning dealing with contradictory knowledge non-monotonic extensions using non-monotonic reasoning for diagnosis problems Rules with Uncertainty Factors

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Probabilistic Reasoning; Network-based reasoning

Probabilistic Reasoning; Network-based reasoning. COMPSCI 276 Fall 2007. Class Description. Instructor: Rina Dechter Days: Monday & Wednesday Time: 2:00 - 3:20 pm Class page: http://www.ics.uci.edu/~dechter/ics-275b/Fall-2007/. Why uncertainty. Summary of exceptions

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Inference rules

831 views • 41 slides

Representing uncertain knowledge

759 views • 40 slides

10/10

10/10. Mid-term will be on 10/26 Homework will be due 10/19 Project 2 is due 10/17 At least one recitation session will be held before midterm People who did badly in the second homework *should* make it a point to attend the recitation or see me during office hours

557 views • 35 slides

M1/M4

M1/M4. CIS 479/579 Bruce R. Maxim UM-Dearborn. What is it?. Expert system shell for developing medium size applications Written in C/C++ Allows interface to external functions written in C/C++ and VB Allows access to database applications as well. Features. Symbolic Variables

468 views • 34 slides

Chapter 12: Expert Systems Design Examples

Chapter 12: Expert Systems Design Examples. Expert Systems: Principles and Programming, Fourth Edition. Summary. Learn about incorporating uncertainty into CLIPS The use of decision trees to provide a useful paradigm Learn how to emulate backward chaining in a CLIPS program

361 views • 33 slides

Expert Systems

Expert Systems. Presented by Mohammad Saniee December 2, 2003. Department of Computer Engineering Sharif University of Technology. Expert Systems. A branch of Artificial Intelligence that makes an extensive use of specialized knowledge to solve problems at the level of an human expert.

891 views • 28 slides

1.68k views • 27 slides

Reasoning with Uncertainty

Reasoning with Uncertainty. ???????? ?????? http://www.um.ac.ir/~kahani/. Introduction. reasoning under uncertainty and with inexact knowledge frequently necessary for real-world problems heuristics ways to mimic heuristic knowledge processing methods used by experts

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Chapter 7 Reasoning in Uncertain Situations

Chapter 7 Reasoning in Uncertain Situations. Xiu-jun GONG (Ph. D) School of Computer Science and Technology, Tianjin University gongxj@tju.edu.cn http:// cs.tju.edu.cn/faculties/gongxj/course/ai /. Outline. Introduction Certainty Factor Bayesian Reasoning

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History of AI

History of AI. Foundations from related fields. Philosophy (400 B.C-). Socrates->Plato->Aristotle

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FT228/4 Knowledge Based Decision Support Systems

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A Brief Introduction to Epidemiology - XI (Epidemiologic Research Designs: Experimental/Interventional Studies)

A Brief Introduction to Epidemiology - XI (Epidemiologic Research Designs: Experimental/Interventional Studies). Betty C. Jung, RN, MPH, CHES . Learning Objectives. To understand: What experimental studies are The value of such studies The basic methodology Pros and Cons of such studies.

899 views • 18 slides

Certainty Factors

664 views • 18 slides

expert systems

expert systems. facts & rules inference engines certainty user interfaces systems structure. facts & rules. facts... (gives daisy milk) (lives-in daisy pasture) (has daisy hair) (eats daisy grass) rules... (Rule 1 (has ?x hair) => (is ?x mammal))

313 views • 17 slides

Uncertainty

253 views • 13 slides

Knowledge Representation and Reasoning

253 views • 12 slides

Overview Of Expert System Tools

Overview Of Expert System Tools. Expert System Tools : are all designed to support prototyping . Prototype : is a working model that is functionally equivalent to a subset of the product.

465 views • 8 slides