Iterated Belief Change is the research area that investigates principles for the dynamics of beliefs over (possibly unlimited) many subsequent belief changes.
Feb 17, 2022
Abstract. Iterated belief change aims to determine how the belief state of a rational agent evolves given a se- quence of change formulae.
The main issue is that there are plausible examples where an observation should lead an agent to revise the initial belief state, rather than the current belief ...
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How does belief change over time?
What is belief revision in artificial intelligence?
We show in this paper that the AGM postulates are too weak to ensure the rational preservation of conditional beliefs during belief revision, ...
We demonstrate that iterative belief revision is Tur- ing complete by showing how revision operators over ranking functions can simulate every Turing machine.
We use a transition system approach to reason about the evolution of an agent's beliefs as ac- tions are executed. Some actions cause an agent to perform belief ...
In this paper, we provide a semantics for iterated expansion, as well as its axiomatic characterization. We extend the model to two well-known families of ...
Jan 16, 2014 · In this paper, we use a transition system approach to reason about the evolution of an agents beliefs as actions are executed. Some actions ...
Iterated belief change aims to determine how the belief state of a rational agent evolves given a sequence of change formulae. Several families of iterated ...
Oct 13, 2009 · Specifically, the manner in which beliefs change in our account is simply a special case of how other fluents change as the result of actions,.