|
|
|
Intelligent Systems(Expert Systems)
Fall-1394
Prerequisites:
Artificial Intelligence
Text Books:
[1]
J. Durkin,
"Expert Systems, Design and Development"
, Prentice Hall, Englewood Cliffs, NJ, 1994.
[2]
G. Schreiber
, R M. MCCAUL, A. Anjewierden and R. de De Hoog,
"Knowledge Engineering and Management: The CommonKADS Methodology"
, Cambridge, Mass., MIT Press, 2000.
[3]
S. Russell
and
P. Norvig,
"Artificial Intelligence; A Modern Approach"
, 3rd Edition, Prentice Hall, 2009.
[4]
A. A. Hopgood,
"Intelligent Systems for Engineers and Scientists"
, CRC Press, Third Edition, 2011.
Reference Books:
[5]
J. Giarratano and, G. Riley,
"Expert Systems: Principles and Programming"
, Fourth Edition, PWS Publishing Company, 2004.
[6]
D. Merritt,
"Building Expert Systems in Prolog"
, Amzi! inc., 2000.
[7]
H. Chen,
"Knowledge Management Systems: A Text Mining Perspective"
, Knowledge Computing Corporation, 2001.
[8]
N. K. Kasabov,
"Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering"
, The MIT Press, 1998.
[9]
C.S. Krishnamoorthy, and S. Rajeev,
"Artificial Intelligence and Expert Systems for Engineers"
, CRC Press, 1996.
[10]
W. Siler, and J. J. Buckley,
"Fuzzy Expert Systems and Fuzzy Reasoning"
, John Wiley & Sons, Inc., 2005.
[11]
E. Friedman-Hill,
"Jess in Action: Java Rule-Based Systems"
,Manning Publications, 2003.
[12]
R. Nakatsu,
"Diagrammatic Reasoning in AI"
, John Wiley & Sons, Inc, 2009.
Description:
The primary goal of expert systems research is to make expertise available to decision makers and technicians who need answers quickly.
There is never enough expertise to go around -- certainly it is not always available at the right place and the right time.
Portable with computers loaded with in-depth knowledge of specific subjects can bring decades worth of knowledge to a problem.
The same systems can assist supervisors and managers with situation assessment and long-range planning.
Many small systems now exist that bring a narrow slice of in-depth knowledge to a specific problem, and these provide evidence that the broader goal is achievable.
These knowledge-based applications of artificial intelligence have enhanced productivity in business, science, engineering, and the military.
With advances in the last decade, today's expert systems clients can choose from dozens of commercial software packages with easy-to-use interfaces.
Each new deployment of an expert system yields valuable data for what works in what context, thus fueling the AI research that provides even better applications.
Course Topics:
- Introduction to Expert Systems
- Knowledge Representation
- Inference Methods
- Reasoning under Uncertainty
- Inexact Reasoning
- Design of Expert Systems
- Knowledge Engineering
Grade Distribution:
Your performance will be assessed by assignments,
project, class participation and final exam. Their weights are:
- (Final Exam: 75%) + (Project Report: 25%) or
- (Final Exam: 90%) + (Research Report: 10%) or
- (Final Exam: 100%)
Participation means coming to class, asking questions, taking part in discussions and so on.
If you have any comments and suggestions about the class and my teaching course,
you can send me a mail.
Last updated:
94/07/22
:: موضوعات مرتبط:
سیستم های هوشمند
:: برچسبها:
سیستم های هوشمند,
سیستم های خبره
|
|
|
|
|
|
|
|
|
