On probabilistic stable event structures
Nargess Ghahremani, Julian Bradfield

TL;DR
This paper extends the theory of probabilistic event structures to a broader class called stable event structures, enabling richer modeling of probabilistic Petri nets and their associated logics, especially for complex cases like confusion.
Contribution
It generalizes probabilistic event structures to stable event structures, facilitating semantics for complex probabilistic Petri nets beyond free-choice nets.
Findings
Developed a semantics for probabilistic Petri nets with confusion.
Extended probabilistic concurrency theory to stable event structures.
Enables probabilistic logics for richer Petri net models.
Abstract
Concurrency and probability are both much studied extensions of sequential computation. Within concurrency theory, there is a broad divide between interleaving models and logics, which model concurrency by non-determinism, and `truly concurrent' models, in which concurrency (and/or causality) are directly represented. True concurrency gives much richer models and logics, but is also harder to work with, as the interactions of causality and concurrency can become complex. In probabilistic computation, we have by now many well understood probabilistic models and logics on interleaving models, developed over the last thirty years or so. However, for true concurrency, adding probability has been much harder, owing to the interactions between probabilistic independence and causal/concurrent independence, piling both conceptual and technical difficulties upon an already complex model.…
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Taxonomy
TopicsService-Oriented Architecture and Web Services · Semantic Web and Ontologies · Logic, Reasoning, and Knowledge
