Invited speaker
Intelligent Systems Group
Department of Computing
Macquarie University
Australia
Title of the talk:
Abstract:
Bio:
Three Tools of Belief Change: Selection, Retention and Distribution
Belief Change deals with how a belief state should rationally be modified in response to some observation made or evidence received. There are several related approaches to deal with different issues relevant to belief change. A body of knowledge could be a finite set or infinite, the modification method could be used on a one off basis or repeatedly, the body of knowledge could be probabilistic or non-probabilistic, the modification could involve removal of knowledge or addition of knowledge, and so on. There are some standard tools that are used in modifying a body of knowledge. The “selection” tool is possibly the best known among them. It comes in the form of epistemic entrenchment, plausibility ordering or other such tie breaking mechanisms, and used mostly in the context of non-probabilistic belief change. In the probabilistic context we need two more tools, Retention and Distribution that will help with rational modification of probabilistic knowledge. In this talk I will briefly touch upon some ideas in this context.
Abhaya Nayak completed his PhD in philosophy from the University of Rochester, USA. After that he did post-doctoral research at the University of Sydney and University of New South Wales, both in Sydney. Since 1999 he has been an academic working at Macquarie University. His research work has been mostly in the area of Knowledge Representation and Reasoning. He is one of the few people to have published in both the AI Journal (on belief dynamics) and the Journal of Philosophical and Phenomenological Research (on the philosophy of Immanuel Kant).
Schedule
09:30 - 10:30
11:00 - 11:30
11:30 - 12:00
12:00 - 12:30
14:00 - 14:30
14:30 - 15:00
15:00 - 15:30
Abhaya Nayak
Invited talk: Three Tools of Belief Change: Selection, Retention and Distribution
Coffee break
Gavin Rens
A Stochastic Belief Change Framework with an Observation Stream and Defaults as Expired Observations
Gavin Rens and Gabriele Kern-Isberner
An Approach to Qualitative Belief Change Modulo Ontic Strength
Roxane Koitz and Franz Wotawa
Improving Abductive Diagnosis Through Structural Features: A Meta-Approach
Lunch break
Gerhard Brewka, Stefan Ellmauthaler, Ricardo Gonçalves, Matthias Knorr, Joao Leite and Jörg Pührer
Towards Inconsistency Management in Reactive Multi-Context Systems
Ricardo Gonçalves, Matthias Knorr and Joao Leite
On Some Properties of Forgetting in ASP
Didier Dubois, Emiliano Lorini and Henri Prade
A Possibility Theory-Based Approach to Desire Change