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'''Length:''' 3 hours
 
'''Length:''' 3 hours
  
'''Intended Audience:'''
+
'''Intended Audience:''' This tutorial is targeted at researchers, system designers and developers working in industry and academia in the following areas
 +
• Reasoning under uncertainty in general
 +
• Bayesian networks
 +
• Machine learning,
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• Computational trust
 +
• AI in general
 +
• Decision support tools
 +
• Information fusion,
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• Knowledge representation
  
'''Description:'''
+
'''Description:''' This tutorial gives attendees a first-hand insight into the theory and application of subjective logic by the author and researcher who proposed and started developing this framework in 1997.<br />
  
'''Prerequisites:'''
+
This tutorial gives an introduction to subjective logic, and how it applies to Bayesian network modelling and information fusion. Specific elements of the tutorial are:<br />
 +
1. Representation and interpretation of subjective opinions<br />
 +
a. Formal representation of binomial, multinomial and hyper opinions<br />
 +
b. Correspondence between subjective opinions and other relevant representations of trust such as binary logic propositions, probabilities, Dempster-Shafer belief functions,<br />
 +
c. Expressing opinions as PDFs (probability density functions) and fuzzy verbal categories<br />
 +
2. Algebraic operators of subjective logic<br />
 +
a. Operators for binomial opinions: transitivity, fusion, product, coproduct<br />
 +
b. Operators for multinomial opinions: conditional deduction and abduction, fusion<br />
 +
3. Applications of subjective logic<br />
 +
a. Bayesian network modelling and analysis<br />
 +
b. Trust networks modelling and analysis of<br />
 +
c. Subjective networks, combining Bayesian and trust networks<br />
 +
 
 +
'''Prerequisites:''' No prerequisite knowledge other than basic probability calculus and discrete mathematics is required.
  
 
'''Presenter:''' [mailto:josang@ifi.uio.no Audun Jøsang]
 
'''Presenter:''' [mailto:josang@ifi.uio.no Audun Jøsang]
  
 +
'''Dr. Audun Jøsang''', Professor at the at the University of Oslo, and Adjunct Professor at Queensland University of Technology, Australia
 +
 +
Prof. Jøsang is the main author behind subjective logic that is being applied worldwide by
 +
researchers and practitioners in the areas of uncertainty representation, belief fusion, Bayesian
 +
reasoning, as well as in trust and reputation systems.
 +
 +
Before joining Oslo University in 2008, Prof. Jøsang worked as Associate Professor at QUT and
 +
research leader for cybersecurity at DSTC in Australia, system design engineer at Alcatel Telecom in
 +
Belgium and research scientist at Telenor in Norway. Prof. Jøsang has a Master's in Information
 +
Security from Royal Holloway College, University of London, and a PhD from NTNU in Norway.
 
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Latest revision as of 10:37, 29 June 2016

T5 Fusion and Bayesian Reasoning with Subjective Logic.

Length: 3 hours

Intended Audience: This tutorial is targeted at researchers, system designers and developers working in industry and academia in the following areas • Reasoning under uncertainty in general • Bayesian networks • Machine learning, • Computational trust • AI in general • Decision support tools • Information fusion, • Knowledge representation

Description: This tutorial gives attendees a first-hand insight into the theory and application of subjective logic by the author and researcher who proposed and started developing this framework in 1997.

This tutorial gives an introduction to subjective logic, and how it applies to Bayesian network modelling and information fusion. Specific elements of the tutorial are:
1. Representation and interpretation of subjective opinions
a. Formal representation of binomial, multinomial and hyper opinions
b. Correspondence between subjective opinions and other relevant representations of trust such as binary logic propositions, probabilities, Dempster-Shafer belief functions,
c. Expressing opinions as PDFs (probability density functions) and fuzzy verbal categories
2. Algebraic operators of subjective logic
a. Operators for binomial opinions: transitivity, fusion, product, coproduct
b. Operators for multinomial opinions: conditional deduction and abduction, fusion
3. Applications of subjective logic
a. Bayesian network modelling and analysis
b. Trust networks modelling and analysis of
c. Subjective networks, combining Bayesian and trust networks

Prerequisites: No prerequisite knowledge other than basic probability calculus and discrete mathematics is required.

Presenter: Audun Jøsang

Dr. Audun Jøsang, Professor at the at the University of Oslo, and Adjunct Professor at Queensland University of Technology, Australia

Prof. Jøsang is the main author behind subjective logic that is being applied worldwide by researchers and practitioners in the areas of uncertainty representation, belief fusion, Bayesian reasoning, as well as in trust and reputation systems.

Before joining Oslo University in 2008, Prof. Jøsang worked as Associate Professor at QUT and research leader for cybersecurity at DSTC in Australia, system design engineer at Alcatel Telecom in Belgium and research scientist at Telenor in Norway. Prof. Jøsang has a Master's in Information Security from Royal Holloway College, University of London, and a PhD from NTNU in Norway.


VDE

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