Probabilistic Event Structures and Domains
Daniele Varacca
June 2004 |
Abstract:
This paper studies how to adjoin probability to event
structures, leading to the model of probabilistic event structures. In their
simplest form probabilistic choice is localised to cells, where conflict
arises; in which case probabilistic independence coincides with causal
independence. An application to the semantics of a probabilistic CCS is
sketched. An event structure is associated with a domain--that of its
configurations ordered by inclusion. In domain theory probabilistic processes
are denoted by continuous valuations on a domain. A key result of this paper
is a representation theorem showing how continuous valuations on the domain
of a confusion-free event structure correspond to the probabilistic event
structures it supports. We explore how to extend probability to event
structures which are not confusion-free via two notions of probabilistic runs
of a general event structure. Finally, we show how probabilistic correlation
and probabilistic event structures with confusion can arise from event
structures which are originally confusion-free by using morphisms to rename
and hide events
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