Difference between revisions of "13 November 2017"

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14:00h Welcome at IFI
 
14:00h Welcome at IFI
  
14:15h Talk: ''Computational Trust: Principles for Mathematical Trust Representation and Analysis''
+
14:15h Talk: ''Computational Trust: Principles for Mathematical Representation and Analysis of Trust''
  
 
15:00h Discussion
 
15:00h Discussion
  
  
'''SPEAKER:''' Mirko Tagliaferri ( University of Urbino, Italy)
+
'''SPEAKER:''' Mirko Tagliaferri (University of Urbino, Italy)
  
 
'''ABSTRACT:'''
 
'''ABSTRACT:'''
There is a rich literature on formal notions of trust. Each formalism often focuses on specific features of trust (e.g. the way trust is transmitted between agents) to obtain formal notions that can be applied in a computational framework. What is lacking, however, is a cohesive and comprehensive study of the notion of computational trust, one that singles out all the main features a computational notion of trust ought to possess. In this talk I will give a broad review of the current literature on computational trust, highlighting common features that the different notions of trust possess in those different formalism. The aim of the talk is to identify and make explicit all the features that are believed to be fundamental for a computational notion of trust. This should provide a starting base for a cohesive future research on trust in computational frameworks.
+
There are numerous models that attempt to give a clear and precise formalisation of the notion
 +
of trust. Ranging from cognitive models (where the mental states of trusting agents are the
 +
base for trust values) to game-theoretic models (where trust depends on subjective
 +
probabilities attributed to events), the literature on computational trust is a huge jungle of
 +
different approaches and different representations of the notion of trust. Each one of those
 +
representations bear peculiar features that allows an application of the concept of trust to
 +
specific scenarios. Nonetheless, the literature suffers from a lack of cohesion both from a
 +
linguistic (different words for the same concepts) and from a theoretical point-of-view. My talk
 +
will focus on those issues, with an emphasis on the latter. The aim is to pin the core features
 +
of computational trust down, to obtain some necessary conditions each mathematical model
 +
ought to fulfil in order to qualify as a model of computational trust. Doing so will also give me
 +
the chance to clarify the terms involved, abstracting away from subtleties related to specific
 +
applications. The contribution of this talk is, therefore, two-fold: it provides a guide for
 +
newcomers to the subject, who will benefit from a linguistic clarification of the technical
 +
language of the subject, and it provides a solid starting point for all who wish to pursue
 +
research on computation trust.
  
 
'''SPEAKER BIO:'''
 
'''SPEAKER BIO:'''
T.B.A
+
Mirko Tagliaferri is currently a Ph.D. student in Complexity Science at the University of Urbino in Italy. After
 +
obtaining his Bachelor in philosophy in 2014 at the same university, with a thesis that focused on automatic inductive reasoning, he spent one year in Scotland, at the University of Glasgow, obtaining a Master Degree in analytical philosophy. His main research interests are formal models of complex systems and logical representations of epistemic notions. Under the supervision of Prof. Alessandro Aldini, he decided to focus his research on computational trust, trying to design new algebraic models for the notion that can improve our understanding of how trust can be employed in computational environments.
  
 
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Revision as of 08:48, 6 November 2017

AFSecurity Seminar

Computational Trust

DATE:  Monday 13 November 2017

LOCATION:  Kristen Nygaards sal (room 5370), Ole Johan Dahl's House.

AGENDA:

14:00h Welcome at IFI

14:15h Talk: Computational Trust: Principles for Mathematical Representation and Analysis of Trust

15:00h Discussion


SPEAKER: Mirko Tagliaferri (University of Urbino, Italy)

ABSTRACT: There are numerous models that attempt to give a clear and precise formalisation of the notion of trust. Ranging from cognitive models (where the mental states of trusting agents are the base for trust values) to game-theoretic models (where trust depends on subjective probabilities attributed to events), the literature on computational trust is a huge jungle of different approaches and different representations of the notion of trust. Each one of those representations bear peculiar features that allows an application of the concept of trust to specific scenarios. Nonetheless, the literature suffers from a lack of cohesion both from a linguistic (different words for the same concepts) and from a theoretical point-of-view. My talk will focus on those issues, with an emphasis on the latter. The aim is to pin the core features of computational trust down, to obtain some necessary conditions each mathematical model ought to fulfil in order to qualify as a model of computational trust. Doing so will also give me the chance to clarify the terms involved, abstracting away from subtleties related to specific applications. The contribution of this talk is, therefore, two-fold: it provides a guide for newcomers to the subject, who will benefit from a linguistic clarification of the technical language of the subject, and it provides a solid starting point for all who wish to pursue research on computation trust.

SPEAKER BIO: Mirko Tagliaferri is currently a Ph.D. student in Complexity Science at the University of Urbino in Italy. After obtaining his Bachelor in philosophy in 2014 at the same university, with a thesis that focused on automatic inductive reasoning, he spent one year in Scotland, at the University of Glasgow, obtaining a Master Degree in analytical philosophy. His main research interests are formal models of complex systems and logical representations of epistemic notions. Under the supervision of Prof. Alessandro Aldini, he decided to focus his research on computational trust, trying to design new algebraic models for the notion that can improve our understanding of how trust can be employed in computational environments.

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