Scalar outcomes suffice for finitary probabilistic testing
Authors
UNSW\ NICTA
Abstract
The question of equivalence has long vexed research in concurrency, leading to many different denotational- and bisimulation-based approaches; a breakthrough occurred with the insight that tests expressed within the concurrent framework itself, based on a special ``success action'', yield equivalences that make only inarguable distinctions.
When probability was added, however, it seemed necessary to extend the testing framework beyond a direct probabilistic generalisation in order to remain useful. An attractive possibility was the extension to multiple success actions that yielded vectors of real-valued outcomes.
Here we prove that such vectors are unnecessary when processes are finitary, that is finitely branching and finite-state: single scalar outcomes are just as powerful. Thus for finitary processes we can retain the original, simpler testing approach and its direct connections to other naturally scalar-valued phenomena.
BibTeX Entry
@inproceedings{Deng_GMZ_07,
address = {Braga, Portugal},
author = {Deng, Yuxin and van Glabbeek, Robert and Morgan, Carroll and Zhang, Chenyi},
booktitle = {European Symposium on Programming},
editor = {{R. De Nicola}},
issn = {0302-9743},
keywords = {probabilistic processes, nondeterminism, probabilistic automata, testing equivalences, reward
testing, hyperplanes, compactness, markov decision processes.},
month = mar,
pages = {363--378},
paperurl = {https://trustworthy.systems/publications/nicta_full_text/147.pdf},
publisher = {Lecture Notes in Computer Science},
title = {Scalar Outcomes Suffice for Finitary Probabilistic Testing},
year = {2007}
}
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