Transcript Aucun titre de diapositive - Ecole des Mines de Saint

Renaissance Engine
as a Cognitive Artifact
Christopher YUKNA
Ecole des Mines de Saint-Etienne
(France)
[email protected]
Fabrice MUHLENBACH
EURISE
University of Saint-Etienne (France)
[email protected]
Outline
• Historical Renaissance
• The CyberRenaissance
• Building the Renaissance Engine
• Conclusion / Future Work
C. Yukna & F. Muhlenbach, Saint-Etienne, France
Historical Renaissance
• Identity
Time: Born the late 14th Century
Place: from Italy to the Northern Europe
15th Century: the Gutenberg press
C. Yukna & F. Muhlenbach, Saint-Etienne, France
Renaissance Men
Copernicus
Da Vinci
C. Yukna & F. Muhlenbach, Saint-Etienne, France
For the paintings:
1423
1082
1489
1340
C. Yukna & F. Muhlenbach, Saint-Etienne, France
C. Yukna & F. Muhlenbach, Saint-Etienne, France
The CyberRenaissance
Definition:
Man + Computer + Internet + Software = CyberRenaissance
as it applies to Science
Today:
• Gutenberg Press = Internet
• Papal Library = Search Engines
Differences between the Historical Renassance
and the CyberRenaissance:
• Internet is not just a library
• Computer is not a book
C. Yukna & F. Muhlenbach, Saint-Etienne, France
C. Yukna & F. Muhlenbach, Saint-Etienne, France
C. Yukna & F. Muhlenbach, Saint-Etienne, France
C. Yukna & F. Muhlenbach, Saint-Etienne, France
C. Yukna & F. Muhlenbach, Saint-Etienne, France
C. Yukna & F. Muhlenbach, Saint-Etienne, France
Building the Renaissance Engine
Identifying the similarities between divergent fields:
eg, charged particles, protons, hydrogen ions are all the
same things but referred differently in separate domains
Identifying the pattern of errors:
• abductive reasoning
• Occam’s Guillotine
Spotting the void:
• finding emptyness implies pioneering
• search engines never help us to find the abyss
Prototype/Mockup:
CyberNautilus
C. Yukna & F. Muhlenbach, Saint-Etienne, France
C. Yukna & F. Muhlenbach, Saint-Etienne, France
The Reasoning Processes
• Deduction (Aristotle)
deductive
propositions / premise
reasoning
expert system: from rules to new facts
• Induction
observations of recurring
phenomenal patterns
inductive
reasoning
particular
conclusion
(special fact)
general
conclusion
(laws)
machine learning: from examples to rules
• Abduction (Peirce)
most likely
hypothesis and
set of facts
explanations
in artificial intelligence? belief revision / automated planning
abductive
reasoning
C. Yukna & F. Muhlenbach, Saint-Etienne, France
Search Engine Optimized
C. Yukna & F. Muhlenbach, Saint-Etienne, France
C. Yukna & F. Muhlenbach, Saint-Etienne, France
Conclusion / Future Work
What needs to be done to create
the Renaissance Engine?
web intelligence
information
retrieval
data mining
Renaissance
Engine
artificial intelligence
to spot the void
computer-assisted
Error DNA recognition
of mistake elements
C. Yukna & F. Muhlenbach, Saint-Etienne, France
machine
learning
multi-agent
system
C. Yukna & F. Muhlenbach, Saint-Etienne, France
C. Yukna & F. Muhlenbach, Saint-Etienne, France