CPE/CSC 481: Knowledge-Based Systems - PowerPoint PPT Presentation

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CPE/CSC 481: Knowledge-Based Systems

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Title: CPE/CSC 481: Knowledge-Based Systems


1
CPE/CSC 481 Knowledge-Based Systems
  • Dr. Franz J. Kurfess
  • Computer Science Department
  • Cal Poly

2
Course Overview
  • Introduction
  • Knowledge Representation
  • Semantic Nets, Frames, Logic
  • Reasoning and Inference
  • Predicate Logic, Inference Methods, Resolution
  • Reasoning with Uncertainty
  • Probability, Bayesian Decision Making
  • Expert System Design
  • ES Life Cycle
  • CLIPS Overview
  • Concepts, Notation, Usage
  • Pattern Matching
  • Variables, Functions, Expressions, Constraints
  • Expert System Implementation
  • Salience, Rete Algorithm
  • Expert System Examples
  • Conclusions and Outlook

3
Overview Chapter-Topic
  • Motivation
  • Objectives
  • Chapter Introduction
  • Review of relevant concepts
  • Overview new topics
  • Terminology
  • Topic 1
  • Subtopic 1.1
  • Subtopic 1.2
  • Topic 2
  • Subtopic 2.1
  • Subtopic 2.2
  • Topic 3
  • Subtopic 3.1
  • Subtopic 3.2
  • Important Concepts and Terms
  • Chapter Summary

4
Logistics
  • Introductions
  • Course Materials
  • textbooks (see below)
  • lecture notes
  • PowerPoint Slides will be available on my Web
    page
  • handouts
  • Web page
  • http//www.csc.calpoly.edu/fkurfess
  • Term Project
  • Lab and Homework Assignments
  • Exams
  • Grading

5
Bridge-In
6
Pre-Test
7
Motivation
  • reasons to study the concepts and methods in the
    chapter
  • main advantages
  • potential benefits
  • understanding of the concepts and methods
  • relationships to other topics in the same or
    related courses

8
Objectives
  • regurgitate
  • basic facts and concepts
  • understand
  • elementary methods
  • more advanced methods
  • scenarios and applications for those methods
  • important characteristics
  • differences between methods, advantages,
    disadvantages, performance, typical scenarios
  • evaluate
  • application of methods to scenarios or tasks
  • apply
  • methods to simple problems

9
Evaluation Criteria
10
Asterix
http//www.asterix.tm.fr
11
Obelix
http//www.asterix.tm.fr
12
Abraracourcix
http//www.asterix.tm.fr
13
Idefix
http//www.asterix.tm.fr
14
Asterix
http//www.asterix.tm.fr
15
Asterix
http//www.asterix.tm.fr
16
Figure Example
17
Post-Test
18
Evaluation
  • Criteria

19
Use of References
  • Giarratano Riley 1998
  • Russell Norvig 1995
  • Jackson 1999
  • Durkin 1994

Giarratano Riley 1998
20
Important Concepts and Terms
  • agenda
  • backward chaining
  • common-sense knowledge
  • conflict resolution
  • expert system (ES)
  • expert system shell
  • explanation
  • forward chaining
  • inference
  • inference mechanism
  • If-Then rules
  • knowledge
  • knowledge acquisition
  • knowledge base
  • knowledge-based system
  • knowledge representation
  • Markov algorithm
  • matching
  • Post production system
  • problem domain
  • production rules
  • reasoning
  • RETE algorithm
  • rule
  • working memory

21
Summary Chapter-Topic
22
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