Abstract
We study how applicative bisimilarity behaves when instantiated on a call-by-value probabilistic \(\lambda \)-calculus, endowed with Plotkin’s parallel disjunction operator. We prove that congruence and coincidence with the corresponding context relation hold for both bisimilarity and similarity, the latter known to be impossible in sequential languages.
The authors are partially supported by the ANR project 12IS02001 PACE.
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References
Abramsky, S.: The lazy \(\lambda \)-Calculus. In: Turner, D. (ed.) Research Topics in Functional Programming, pp. 65–117. Addison Wesley (1990)
Abramsky, S., Ong, C.-H.L.: Full abstraction in the lazy lambda calculus. Inf. Comput. 105(2), 159–267 (1993)
Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(5), 564–577 (2003)
Crubillé, R., Dal Lago, U.: On probabilistic applicative bisimulation and call-by-value \(\lambda \)-calculi (long version). CoRR, abs/1401.3766 (2014)
Dal Lago, U., Sangiorgi, D., Alberti, M.: On coinductive equivalences for higher-order probabilistic functional programs (long version). CoRR, abs/1311.1722 (2013)
Dal Lago, U., Sangiorgi, D., Alberti, M.: On coinductive equivalences for higher-order probabilistic functional programs. In: POPL, pp. 297–308 (2014)
Dal Lago, U., Zorzi, M.: Probabilistic operational semantics for the lambda calculus. RAIRO - Theor. Inf. and Applic. 46(3), 413–450 (2012)
Danos, V., Harmer, R.: Probabilistic game semantics. ACM Trans. Comput. Log. 3(3), 359–382 (2002)
Desharnais, J., Edalat, A., Panangaden, P.: Bisimulation for labelled Markov processes. Inf. Comput. 179(2), 163–193 (2002)
Ehrhard, T., Tasson, C., Pagani, M.: Probabilistic coherence spaces are fully abstract for probabilistic PCF. In: POPL, pp 309–320 (2014)
Goldwasser, S., Micali, S.: Probabilistic encryption. J. Comput. Syst. Sci. 28(2), 270–299 (1984)
Goodman, N.D.: The principles and practice of probabilistic programming. In: POPL, pp. 399–402 (2013)
Jones, C., Plotkin, G.D.: A probabilistic powerdomain of evaluations. In: LICS, pp. 186–195 (1989)
Larsen, K.G., Skou, A.: Bisimulation through probabilistic testing. Inf. Comput. 94(1), 1–28 (1991)
Lassen, S.B.: Relational Reasoning about Functions and Nondeterminism. PhD thesis, University of Aarhus (1998)
Manning, C.D., Schütze, H.: Foundations of statistical natural language processing, vol. 999. MIT Press (1999)
Ong, C.-H.L.: Non-determinism in a functional setting. In: LICS, pp. 275–286 (1993)
Park, S., Pfenning, F., Thrun, S.: A probabilistic language based on sampling functions. ACM Trans. Program. Lang. Syst. 31(1) (2008)
Pearl, J.: Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmann (1988)
Pfeffer, A.: IBAL: A probabilistic rational programming language. In: IJCAI, pp. 733–740. Morgan Kaufmann (2001)
Plotkin, G.D.: LCF considered as a programming language. Theor. Comput. Sci. 5(3), 223–255 (1977)
Ramsey, N., Pfeffer, A.: Stochastic lambda calculus and monads of probability distributions. In: POPL, pp. 154–165 (2002)
Thrun, S.: Robotic mapping: A survey. Exploring Artificial Intelligence in the New Millennium, pp. 1–35 (2002)
van Breugel, F., Mislove, M.W., Ouaknine, J., Worrell, J.: Domain theory, testing and simulation for labelled markov processes. Theor. Comput. Sci. 333(1–2), 171–197 (2005)
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Crubillé, R., Dal Lago, U., Sangiorgi, D., Vignudelli, V. (2015). On Applicative Similarity, Sequentiality, and Full Abstraction. In: Meyer, R., Platzer, A., Wehrheim, H. (eds) Correct System Design. Lecture Notes in Computer Science(), vol 9360. Springer, Cham. https://doi.org/10.1007/978-3-319-23506-6_7
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DOI: https://doi.org/10.1007/978-3-319-23506-6_7
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