The Duality of State and Observation
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If you have a question about this talk, please contact Stephen Clark.
In this talk we consider the problem of representing and reasoning about
systems, especially probabilistic systems, with hidden state. We consider
transition systems where the state is not completely visible to an outside
observer. Instead, there are observables that partly identify the state.
We show that one can interchange the notions of state and observation and
obtain what we call a dual system. The double dual gives a minimal
representation of the behaviour of the original system. We extend this to
nondeterministic systems and to probabilistic transition systems and
finally to partially observable Markov decision processes (POMDPs). In the
case of finite automata restricted to one observable, we obtain
Brzozowski’s algorithm for minimizing finite-state language acceptors.
This is joint work with colleagues from McGill: Doina Precup and Joelle
Pineau and my former student Chris Hunt.
This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.
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