Download Knowledge Management for Computational Intelligence Systems

Knowledge Management for
Computational Intelligence Systems
Dr. R. Weber
College of Information Science & Technology
Drexel University
1.
1. MD
MD
2. CBR
2.
2. CBR
CBR
6. Example: applying the CBKM framework
6.
6. Example:
Example:
applying
applyingthe
theCBKM
CBKMframework
framework
7. Requirements
7.
7. Requirements
Requirements
8. Conclusions
8.
8. Conclusions
Conclusions
9. Future Work
9.
9. Future
FutureWork
Work
10. Acknowledgements
10.
10.Acknowledgements
Acknowledgements
11. References & Bibliography
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
1. What knowledge management (KM)?
What
What
knowledge
management
management
(KM)?
(KM)? systems (CI)?
2. knowledge
What
computational
intelligence
What
What
computational
intelligence
systems
systems
(CI)?
3. computational
Why
would CI intelligence
systems
need
KM?(CI)?
Why
Why
wouldCICI
systems
systems
need
needKM?
KM?
4. would
CBKM
framework
CBKM
CBKM
framework
framework
5. Why
would it work?
Why
Why
would
would
work?
1.
MDit itwork?
25-Mar-04
Click to Outline
edit Master title
• KM
can be management
understood
within a wide
What
What
knowledge
knowledge
management(KM)?
(KM)?
umbrella
of perspectives
What
What
computational
computational
intelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
1.
1. MD
MD
2.
2. CBR
CBR
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
7.
7. Requirements
Requirements
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
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3.
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5.
25-Mar-04
What knowledge management
Click to edit Master title
(KM)?
What knowledge management
Click to edit Master title
(KM)?
(KM)?
Knowledge tasks are Not performed by humans
1.
1. MD
MD
2.
2. CBR
CBR
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
7.
7. Requirements
Requirements
Knowledge
8.
8. Conclusions
Conclusions tasks are performed by computer
programs
9.
9. Future
Future
Work
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
25-Mar-04
1.What
What
knowledge
management
What
knowledge
knowledge
management
management
(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
First:
that is computerized!
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
1. knowledge
What
knowledge
management
(KM)?
What
What
knowledge
management
management
(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Second:
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
that
implements
CBKM
CBKM
framework
framework
these
knowledge
Why
Whywould
would
it itwork?
work?
1.
1.
MD
MD
tasks
2.
2. CBR
CBR
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
7.
7. Requirements
Requirements
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
Weber
& Kaplan 2003
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
What knowledge management
Click to edit Master title
(KM)?
Computational
intelligence
What
What
knowledge
knowledgemanagement
management
(KM)?
(KM)? systems…
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
…use
so-called
CI
methods
(e.g.
Why
Why
would
would
CICIsystems
systems
need
need
KM?
KM?
CBKM
CBKM
framework
framework fuzzy, learning) …
evolutionary,
Why
Whywould
wouldit itwork?
work?
…to create solutions to problems…
…thatapplying
are
in the
imprecise
contexts and that
6.
6. Example:
Example:
applying
theCBKM
CBKMframework
framework
7.
7. Requirements
Requirements
are highly unstructured…
8.
8. Conclusions
Conclusions
e.g.,Work
modeling,
prediction, clustering,
9.
9. Future
Future
Work
10.
10.Acknowledgements
Acknowledgements
classification, scheduling, optimization
1.
1. MD
MD
2.
2. CBR
CBR
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
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5.
5.
25-Mar-04
What computational
intelligence
(CI)
Click to edit Master title
systems ?
What
Whatknowledge
knowledgemanagement
management(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
would
systems
systems
need
needKM?
KM?
They
areCICI
constantly
making
decisions
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
Create a new solution to each problem
1.
1. MD
MD
2.
2. CBR
CBR
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
Each
decision is valuable to be
7.
7. Requirements
Requirements
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
learned
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
WhyClick
wouldtoCI
systems
need
edit
Master
titleKM?
If the
CI system
must(KM)?
deliver
What
What
knowledge
knowledge
management
management
(KM)? high
assurance
What
What
computational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKMframework
framework
andwould
Why
Why
wouldit itwork?
work?
1.
1. MD
MD
2.
2. CBR
CBR
6.
6. Example:
Example:
applying
applyingthe
theCBKM
CBKMframework
framework
If it operates
in
changing
and dynamic
7.
7. Requirements
Requirements
environments
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
To guarantee it operates as required, it
11.
11.References
References&&Bibliography
Bibliography
has to learn, adapt, and evolve
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
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2.
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5.
25-Mar-04
Why Click
would to
CI edit
systems
need
KM?
Master
title
What
Whatknowledge
knowledge
management
management
(KM)?
(KM)?
The
more flexible,
the
more complex
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
• To deal with imprecise problems and
contexts:
1.
1. MD
MD
2.
2. CBR
CBR
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
– Use data or input elements
7.
7. Requirements
Requirements
8.
8. Conclusions
Conclusions
– Define architecture (e.g. neural
9.
9. Future
Future
Work
Work
networks)
10.
10.Acknowledgements
Acknowledgements
– Define
parameters
11.
11.References
References
&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
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5.
5.
25-Mar-04
WhyClick
wouldtoCI
systems
need
edit
Master
titleKM?
• Designers
of computational
intelligence
What
What
knowledge
knowledgemanagement
management
(KM)?
(KM)?
What
What
computational
computational
intelligence
systems
(CI)?
(CI)?to define
methods
relyintelligence
on trial systems
and
error
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
parameters
CBKM
CBKMframework
framework
Why
Why
would
would
it itwork?
work?
• Trial
and
error improves with
1.
1. MD
MD
2.
2. CBR
CBR
experience
6.
6. Example:
Example:
applying
applyingthe
theCBKM
CBKMframework
framework
• KM methodological
approach to learn
7.
7. Requirements
Requirements
from experience
8.
8. Conclusions
Conclusions
9.
9. Future
Future
Work
Work problems may require
• Different
10.
10.Acknowledgements
Acknowledgements
solutions
created from different sets of
11.
11.References
References
&&Bibliography
Bibliography
parameters
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
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5.
25-Mar-04
WhyClick
wouldtoCI
systems
need
edit
Master
titleKM?
Some
systems
include
multiple CI
What
What
knowledge
knowledge
management
management
(KM)?
(KM)?
What
What
computational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
methods
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
1.
1. MD
MD
2.
2. CBR
CBR
Which CI method has better produced
Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
results with which kinds of inputs?
Requirements
Requirements
6.
6.
7.
7.
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
To answer all these questions…..
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
WhyClick
wouldtoCI
systems
need
edit
Master
titleKM?
CBKM:
case-based
knowledge
management
What
What
knowledge
knowledge
management
management
(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
1.
1. MD
MD
2.
2. CBR
CBR
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
7.
7. Requirements
Requirements
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
Click
to edit
Master title
CBKM
framework
• Main
module
to learn
from its own
What
What
knowledge
knowledge
management
management
(KM)?
(KM)?
What
What
computational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
experiences:
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
– framework
Main
Case Base (MCB)
CBKM
CBKM
framework
Why
Why
would
it itwork?
work?
–would
Individual
Case Bases (ICB)
1.
1. MD
MD
2.
2. CBR
CBR
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
• Lessons-learned module to
7.
7. Requirements
Requirements
external experiences
8.
8. Conclusions
Conclusions
9.
9. Future
Future
WorkLL Base
– Work
Main
10.
10.Acknowledgements
Acknowledgements
– Individual
LL Bases
11.
11.References
References
&&Bibliography
Bibliography
learn from
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
Case-Based Knowledge Management
Click to
edit Master title
Framework
Case-Based Knowledge Management
Click to
edit Master title
Framework
25-Mar-04
What
Whatknowledge
knowledgemanagement
management(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
1.
1. MD
MD
2.
2. CBR
CBR
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
7.
7. Requirements
Requirements
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Target
System
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
CBKM
framework
What
What
knowledge
knowledge
management
management(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKM
framework
framework
Based
on:
Why
Whywould
wouldit itwork?
work?
1.
1. MD
MD
2.
2. CBR
CBR
Monitored
Distribution
(MD)
6.
6. Example:
Example:
applying
applying
the
theCBKM
CBKMframework
framework
7.
7. Requirements
Requirements
Case-based Reasoning (CBR)
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
Why would
it work?
1. MD title
2. CBR
Click to
edit Master
Monitored
Distribution:
What
What
knowledge
knowledge
management
management(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKM
framework
framework
Proactive
distribution of knowledge
Why
Why
would
wouldit itwork?
work?
artifacts
25-Mar-04
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
Knowledge artifacts: lessons learned,
Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
alerts
Requirements
Requirements
Dr. R Weber
WhyClick
wouldtoit edit
work?
1. MD title
2. CBR
Master
1.
1. MD
MD
2.
2. CBR
CBR
6.
6.
7.
7.
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Why would
1. MD 2.
CBR
Click ittowork?
edit Master
title
processes
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKM
framework
framework
7.
7. Requirements
Requirements
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Direct MD
25-Mar-04
1.
1. MD
MD
2.
2. CBR
CBR
understand
What
Whatknowledge
knowledgemanagement
management(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
reuse
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
Dr. R Weber
capture
user
distribute
Knowledge Management for Computational Intelligence
Why would
1. MD 2.
CBR
Click ittowork?
edit Master
title
capture
processes
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
7.
7. Requirements
Requirements
Target
8.
8. Conclusions
Conclusions
System
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
distribute
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1. MD
MD
2.
2. CBR
CBR
25-Mar-04
Indirect MD
What
Whatknowledge
knowledgemanagement
management(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
understand
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
Why would it work? 1. Monitored
Click toDistribution
edit Master title
1.
1. MD
MD
2.
2. CBR
CBRNEO plan
39h50
32h48
11.48 framework
total duration*
6.
6. Example:
Example:
applying
applyingthe
theCBKM
CBKM
framework8.69
among
evacuees
7.
7. Requirements
Requirements
8.
8. Conclusions
Conclusions
duration
until
24h13
9.
9. Future
Future
Work
Work
29h37
casualties
among
6.57
9.41
friendly
forces
medical assistance*
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
casualties
casualties
among evacuees
11.48
8.69
variation
variation
18 %
18 %
24 %
18
%
30 %
24 %
Knowledge Management for Computational Intelligence
25-Mar-04
What
Whatknowledge
knowledgemanagement
management(KM)?
(KM)?
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
no
lessons
with
lessons
noneed
lessons
Why
Whywould
wouldCICIsystems
systems
need
KM?
KM? with lessons
CBKM
CBKMframework
framework
NEO plan
32h48
39h50
Why
Whywould
would
it
it
work?
work?
total duration*
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
Evaluation: Weber & Aha, 2003
1.
1. MD
MD
2.
2. CBR
CBR
6.
6. Example:
Example:applying
applyingthe
theCBKM
CBKMframework
framework
7.
7. Requirements
Requirements
8.
8. Conclusions
Conclusions
9.
9. Future
FutureWork
Work
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
CBR cycle by
What
Whatknowledge
knowledgemanagement
management(KM)?
(KM)?
Aamodt, Plaza
What
Whatcomputational
computationalintelligence
intelligencesystems
systems(CI)?
(CI)?
1994
Why
Whywould
wouldCICIsystems
systems
need
needKM?
KM?
Aha, 1998
CBKM
CBKMframework
framework
Why
Whywould
wouldit itwork?
work?
25-Mar-04
WhyClick
would
to itedit
work?
Master1.title
CBR
WhyClick
would
to itedit
work?
Master1.title
CBR
What
computational
computational
intelligence
(CI)?
(CI)?
1. What
W. Cheetham,
A. Varma, K. Goebel, intelligence
“Case-based
reasoningsystems
atsystems
General Electric,”
in Proceedings of the Fourteenth
Annual Conference of the International Florida Artificial Intelligence Research Society, Menlo Park, CA: AAAI Press,
Why
Why
would
would
CIsystems
systems
need
needKM?
KM?
2001, pp.
93-97. CI
2. D.W. Aha, I. Becerra-Fernandez, F. Maurer and H. Muñoz-Avila, Eds. Exploring Synergies of Knowledge
CBKM
CBKM
framework
framework
Management
and Case-Based Reasoning: Papers from the AAAI 1999 Workshop (Tech. Rep. WS-99-10), Menlo
Park, CA: AAAI Press, 1999.
Why
Why
would
wouldit itwork?
work?
3. I. Watson, “Knowledge management and case-based reasoning: a perfect match?” in Proc. of the Fourteenth
Conference of the International Florida Artificial Intelligence Research Society, I. Russel and J. Kolen, Eds.
1.
1. Annual
MD
MD
Menlo Park, CA: AAAI Press, 2001, pp. 118-122.
2.
2.
CBR
CBR Applying knowledge management: techniques for building corporate memories, Amsterdam; Boston:
4. I.D.
Watson,
Morgan Kaufmann, 2003.
6.
6. Example:
Example:
applying
applyingthe
theCBKM
CBKMframework
framework
5. K.-D. Althoff, A. Birk, G. von Wangenheim and C. Tautz, “Case-based reasoning for experimental software
engineering,” in Case-Based Reasoning Technology - From Foundations to Applications, M. Lenz, B. Bartsch-Spörl,
7.
7. Requirements
Requirements
H.-D. Burkhard, and S. Wess, Eds. Springer Verlag: LNAI 1400, 1998, pp. 235-254.
6. Conclusions
R. Weber, D.W. Aha, and I. Becerra-Fernandez, “Intelligent Lessons Learned Systems,” International Journal of
8.
8. Conclusions
Expert Systems Research and Applications, 20, No. 1, pp. 17-34, 2001.
9.
9. Future
Work
7. Future
R. WeberWork
and
R. Kaplan, “Knowledge-based knowledge management,” in Innovations in Knowledge Engineering, R.
Jain, A. Abraham, C. Faucher and B.J. van der Zwaag, Eds. Adelaide: Advanced Knowledge International Pty Ltd,
10.
10.Acknowledgements
Acknowledgements
2003.
8. R. Weber and D.W. Aha, “Intelligent delivery of military lessons learned,” Decision Support Systems, 34(3), pp. 28711.
11.References
References
&&Bibliography
Bibliography
304, 2003.
9. D.W. Aha, R. Weber, H. Muñoz-Avila, L.A. Breslow, and K.M. Gupta, “Lesson distribution gap,” in Proceedings of
IJCAI, Menlo Park, CA: AAAI Press, 2001, 2, pp. 987-992.
Knowledge Management for Computational Intelligence
Dr. R Weber
2.
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25-Mar-04
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Knowledge Management for Computational Intelligence
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Dr. R Weber
1.
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25-Mar-04
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Knowledge Management for Computational Intelligence
Dr. R Weber
1.
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9.
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11.
11.References
References
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Knowledge Management for Computational Intelligence
Dr. R Weber
1.
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4.
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25-Mar-04
Integration
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9.
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11.
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8. Conclusions
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9.
9. Future
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10.
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11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
ClickConclusions
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(ii) title
• CBKM
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11.
11.References
References
&&Bibliography
Bibliography
in life cycle, CBKM
can help testing target system
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
Click
Conclusions
to edit Master
(iii) title
• Current
submission
to (KM)?
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7th European
What
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Case-Based
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7.
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8.
8. Conclusions
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9. Future
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Work
Work
meet
CI system goals
10.
10.Acknowledgements
Acknowledgements
• Co-authored
with Duanqing Wu, Amie Souter
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
Click Future
to edit Master
Work title
Click
Acknowledgements
to edit Master title
What
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work
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7.
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8.
8. Conclusions
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9.
9. Future
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10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
• Mark Last
1.
1. What
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Knowledge
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Why
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CBKM
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vanwould
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Zwaag,
Eds. Adelaide: Advanced Knowledge
Why
Why
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work?
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1.International
MD
MD
Pty Ltd, 2003.
2.
2. CBR
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•I. Watson,
“Knowledge
management
6.
6. Example:
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applying
the
theCBKM
CBKM
framework
frameworkand case-based
reasoning: a perfect match?” in Proc. of the Fourteenth
7.
7. Requirements
Requirements
Annual Conference of the International Florida Artificial
8.
8. Conclusions
Conclusions
Intelligence
9.
9. Future
Future
Work
WorkResearch Society, I. Russel and J. Kolen,
Eds. Menlo Park, CA: AAAI Press, 2001, pp. 118-122.
10.
10.Acknowledgements
Acknowledgements
11.
11.References
References&&Bibliography
Bibliography
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
References
Click to edit
& Bibliography
Master title(i)
References
Bibliography
Click to &
edit
Master title(ii)
•W. Pedrycz,
“Computational
intelligence
as an emerging paradigm of
What
What
knowledge
knowledge
management
management
(KM)?
(KM)?
software engineering”, in Proceedings of the 14th international conference
What
What
computational
computational
intelligence
systems(CI)?
(CI)?
on Software
engineering intelligence
and
knowledgesystems
engineering,
New York, NY:ACM
Press,
2002, pp.
Why
Why
would
would
CICI7-14.
systems
systems
need
needKM?
KM?
•J.C. Bezdek,
"Computational intelligence defined -- by everyone," in
CBKM
CBKM
framework
framework
Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration
with Applications,
O.
Kaynak, L.A. Zadeh, B. Turksen, and I.J. Rudas,
Why
Why
would
wouldit itwork?
work?
Berlin:Springer, 1998, pp.10-37.
1.
1.Eds.
MD
MD
Digalakis, and K.G. Margaritis, “An experimental study of
2.
2.•J.G.
CBR
CBR
benchmarking functions for genetic algorithms,” International Journal of
Example:
Example:
applying
applyingthe
the
CBKM
CBKM
framework
framework
Computer Mathematics,
79(4),
pp. 403-416,
2002.
6.
6.
7.
7. Requirements
Requirements
•A. Kandel, P. Saraph and M. Last, Test Set Generation and Reduction
with Artificial Neural Networks, in “Artificial Intelligence Methods in
8.
8. Conclusions
Conclusions
Software Testing”, M. Last, et. al. (Eds.), World Scientific, Singapore ,
2004. Work
9.
9. Future
Future
Work
•A. Abraham and B. Nath, “Hybrid heuristics for optimal design of neural
10.
10.Acknowledgements
Acknowledgements
nets,” in Proceedings of the Third International Conference on Recent
11.
11.References
References
&Bibliography
Bibliography
Advances in &
Soft
Computing, R. John and R. Birkenhead, Eds. Berlin:
Springer Verlag, 2000, pp. 15-22.
Knowledge Management for Computational Intelligence
Dr. R Weber
1.
1.
2.
2.
3.
3.
4.
4.
5.
5.
25-Mar-04
Computational Intelligence
Knowledge Management for Computational Intelligence
Dr. R Weber
CBR
•J. Kolodner,
Case-Based
Reasoning. Los (KM)?
Altos,
CA: Morgan Kaufmann, 1993.
1.
1. What
What
knowledge
knowledge
management
management
(KM)?
•R. Weber and D.W. Aha, “Intelligent delivery of military lessons learned,” Decision
2.
2. What
What
computational
computational
intelligence
systems(CI)?
(CI)?
Support
Systems,
34(3), pp.intelligence
287-304,
2003. systems
•D.W. Aha, R. Weber, H. Muñoz-Avila, L.A. Breslow, and K.M. Gupta, “Lesson
3.
3. Why
Why
would
would
CIinCIsystems
systems
need
need
KM?
KM?
distribution
gap,”
Proceedings
of
IJCAI,
Menlo Park, CA: AAAI Press, 2001, 2,
pp. 987-992.
4.
4. CBKM
CBKM
framework
framework
•I. Watson, Applying Case-Based Reasoning: Techniques for Enterprise Systems,
San Francisco,
Morgan Kaufmann Publishers, Inc., 1997.
5.
5. Why
Why
would
woulditCalifornia:
itwork?
work?
Leake,
Case-Based Reasoning: Experiences, Lessons, and Future Directions,
1.
1.•D.
MD
MD
Menlo Park, California: AAAI Press/The MIT Press, 1996.
2.
2.•A.CBR
CBR and E. Plaza, “Case-based reasoning: foundational issues,
Aamodt
methodological
variations,
and
system
approaches,”
Artificial Intelligence
6.
6. Example:
Example:
applying
applying
the
the
CBKM
CBKM
framework
framework
Communications, 7 (1), pp. 39-59, 1994.
•W. Cheetham, A. Varma, K. Goebel, “Case-based reasoning at General Electric,”
7.
7. Requirements
Requirements
in Proceedings of the Fourteenth Annual Conference of the International Florida
8.
8. Conclusions
Conclusions
Artificial Intelligence Research Society, Menlo Park, CA: AAAI Press, 2001, pp. 9397.
9.
9. Future
Future
Work
Work
•S. Slade,
“Case-based reasoning: A research paradigm”. AI Magazine Spring
1991, pp. 42-55.
10.
10.Acknowledgements
Acknowledgements
•C. Riesbeck, and R. Schank, “Inside case-based reasoning”. 1989. Lawrence
Erlbaum.
11.
11.References
References
&&Bibliography
Bibliography
•I.D. Watson, Applying knowledge management: techniques for building corporate
memories, Amsterdam; Boston: Morgan Kaufmann, 2003.
25-Mar-04
References
Click to &edit
Bibliography
Master title(iii)
Knowledge Management for Computational Intelligence
Dr. R Weber
CBR Maintenance
•R. Weber,
D.W. Aha, and
I. Becerra-Fernandez,
“Intelligent Lessons Learned
1.
1. What
What
knowledge
knowledge
management
management
(KM)?
(KM)?
Systems,” International Journal of Expert Systems Research and Applications, 20,
No. 1, computational
pp.
17-34, 2001.
2.
2. What
What
computational
intelligence
intelligencesystems
systems(CI)?
(CI)?
•C.W. Holsapple and K.D. Joshi, “Organizational knowledge resources,” Decision
3.
3. Why
Why
would
would
CICI
systems
systems
need
needKM?
KM?
Support
Systems,
31,
pp. 39-54,
2001.
•D. B. Leake,
B. Smyth, D. C. Wilson, Q. Yang, “Special issue on maintaining case4.
4. CBKM
CBKM
framework
framework
based reasoning systems,” Computational Intelligence, 17(2), pp.193-195, 2001.
•B. Smyth,
E. McKenna,
“Competence models and the maintenance problem,”
5.
5. Why
Why
would
would
it itwork?
work?
Intelligenc, 17(2), pp. 235-249, 2001.
1.
1.Computational
MD
MD
•L. Portinale and P. Torasso, “Case-base maintenance in a multimodal reasoning
2.
2.system,”
CBR
CBRComputational Intelligence, 17(2), pp. 263-279, 2001.
•S. Craw, J. applying
Jarmulak
andthe
R.
Rowe,
“Maintaining
retrieval knowledge in a case6.
6. Example:
Example:
applying
the
CBKM
CBKM
framework
framework
base reasoning system,” Computational Intelligence, 17(2), pp. 346-363, 2001.
•R. K. De and S.K. Pal, “A neuro-fuzzy method for selecting cases,” in Soft
7.
7. Requirements
Requirements
Computing in Case Based Reasoning, S.K. Pal, T.S. Dillon and D.S. Yeung, Eds.
8.
8. Conclusions
Conclusions
London: Springer Verlag, 2001, chapter 10.
•S.C.K. Shiu, X.Z. Wang, and D.S. Yeung, “Neuro-fuzzy approach for maitaining
9.
9. Future
Future
Work
Work
case bases”,
in Soft Computing in Case Based Reasoning, S.K. Pal, T.S. Dillon and
D.S. Yeung, Eds. London: Springer Verlag, 2001, chapter 11.
10.
10.Acknowledgements
Acknowledgements
•I. Watson, “A case study of maintenance of a commercially fielded case-based
reasoning system,”
Computational Intelligence, 17(2), pp. 387-398, 2001.
11.
11.References
References
&&Bibliography
Bibliography
25-Mar-04
References
Bibliography
Click to &
edit
Master title(iv)