Evolutionary Learning and Stochastic Process Algebra

Aus de_evolutionary_art_org
Version vom 14. Januar 2015, 11:02 Uhr von Gbachelier (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „== Reference == Brian J. Ross: Evolutionary Learning and Stochastic Process Algebra. 1st International Workshop on Induction of Process Models, ICML 20…“)

(Unterschied) ← Nächstältere Version | Aktuelle Version (Unterschied) | Nächstjüngere Version → (Unterschied)
Wechseln zu: Navigation, Suche


Brian J. Ross: Evolutionary Learning and Stochastic Process Algebra. 1st International Workshop on Induction of Process Models, ICML 2007, Corvallis, OR, June 2007.



This extended abstract discusses research us- ing genetic programming to evolve stochastic processes, as modelled in the stochastic pi- calculus.

Extended Abstract


Used References

Blossey, R., Cardelli, L., & Phillips, A. (2006). A Com- positional Approach to the Stochastic Dynamics of Gene Networks. Trans. in Comp. Sys. Bio (TCSB), 3939, 99–122.

Hoare, C. A. R. (1985). Communicating Sequential Processes. Prentice–Hall.

Kitagawa, J., & Iba, H. (2003). Identifying Metabolic Pathways and Gene Regulation Networks with Evo- lutionary Algorithms. In G. Fogel and D. Corne (Eds.), Evolutionary computation in bioinformatics, 255–278. Morgan Kaufmann.

Koza, J., Keane, M., Streeter, M., Mydlowec, W., Yu, J., & Lanza, G. (2003). Genetic Programming IV: Routine Human-Competitive Machine Intelligence. Kluwer Academic Publishers.

Milner, R. (1989). Communication and Concurrency. Prentice Hall.

Milner, R. (1999). Communicating and Mobile Sys- tems: the Pi-calculus. Cambridge University Press.

Phillips, A. (2007). The stochastic pi machine (spim). URL: http://research.microsoft.com/aphillip/spim/. Last accessed March 1, 2007.

Phillips, A., & Cardelli, L. (2005). A Correct Abstract Machine for the Stochastic Pi-calculus. Proc. Bio- concur’04. London, UK.

Phillips, A., Cardelli, L., & Castagna, G. (2006). A Graphical Representation for Biological Processes in the Stochastic pi-calculus. Trans. in Comp. Sys. Bio (TCSB), 4230, 123–152.

Priami, C. (1995). Stochastic pi-Calculus. The Com- puter Journal, 38, 579–589.

Priami, C., Regev, A., Shapiro, E., & Silverman, W. (2001). Application of a stochastic name-passing calculus to representation and simulation of molec- ular processes. Information Processing Letters, 80, 25–31.

Ross, B. (1998a). Pairwise Sequence Comparison and the Genetic Programming of Iterative Concurrent Programs. Proc. Genetic Programming 1998 (pp. 338–343). Morgan Kaufmann.

Ross, B. (1998b). The Evolution of Concurrent Pro- grams. Applied Intelligence, 8, 21–32.

Ross, B. (2001). Logic-based Genetic Programming with Definite Clause Translation Grammars. New Generation Computing, 19, 313–337.

Ross, B. (2007). Using Genetic Programming to Syn- thesize Monotonic Stochastic Processes. Proceedings CI-2007. Banff, AB, Canada.

Speith, C., Streichert, F., Speer, N., & Zell, A. (2004). Iteratively inferring gene regulatory networks with virtual knockout experiments. Proc. 2nd European Workshop on Evolutionary Bioinformatics (pp. 102– 112). Springer. LNCS 3005.


Full Text


intern file

Sonstige Links