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} }