Decisiveness of infinite Markov chains with respect to some (finite or infinite) target set of states is a key property that allows to compute the reachability probability of this set up to an arbitrary precision.
May 31, 2023
May 31, 2023 · We show that, without restrictions on dynamic weights, decisiveness is undecidable with a single state and single counter pCM. On the contrary ...
Sep 7, 2023 · We show that, without restrictions on dynamic weights, decisiveness is undecidable with a single state and single counter pCM. On the contrary ...
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Jun 7, 2023 · Bibliographic details on About Decisiveness of Dynamic Probabilistic Models.
This paper presents a general model for the formulation and solution of the risk‐sensitive dynamic decision problem that maximizes the certain equivalent of ...
Decision processes in dynamic probabilistic systems / by Adrian V. Gheorghe.-book.
In this paper, we discuss the case for the use of BNs, specifically Dynamic Decision Networks (DDNs), to support the decision-making of self-adaptive systems.
In this paper, a methodology for dynamic probabilistic risk assessment of decision making in emergencies for complex marine systems is proposed.
DPRMs are an extension of dynamic Bayesian networks (DBNs) where each time slice (and its dependences on previous slices) is repre- sented by a probabilistic ...
In this paper, we discuss the case for the use of BNs, specifically Dynamic Decision Networks (DDNs), to support the decision-making of self-adaptive systems.