Quasi-real time computing and combination of temporal context information with spatial and attributive context information in dynamically changing situations and processes are of specific interest.
It depends on what you want to model and how.
There is a rule-based modelling language and inference engine that allows to model temporal dependencies between contexts, provides mechanism for modeling and processing uncertain context, and allows for basic statistical analysis of past context: http://glados.kis.agh.edu.pl/doku.php?id=pub:software:heartdroid:start
If not this, Dynamic Bayesian networks, or Markov Models could be used to handle your problem as well I guess.
http://glados.kis.agh.edu.pl/doku.php?id=pub:software:heartdroid:start
In the context of smart/interactive materials which have dynamic/ temporal qualities, there is a recently developed 'simulator' - as a tool for design professionals, by the PhD candidate Bahar Barati.
Timed Petri Nets ? Stochastic Petri Nets ?
http://cpntools.org/start ?
there is some works mixing PN and Business Process Managing, I am not aware but I heard people talking about it ?
hope it helps.
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