Stochastic process semantics for dynamical grammar syntax: An overview

9th International Symposium on Artificial Intelligence and Mathematics, ISAIM 2006

Volumn , Issue , 2006, Pages

  Mjolsness, Eric ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA CLUSTERING; GRAPH GRAMMAR; LOGIC PROGRAMS; MATHEMATICAL FORMULATION; MATHEMATICAL METHOD; MODELING FRAMEWORKS; OPERATOR ALGEBRAS; PARAMETERIZED; PROBABILISTIC MODELS; QUANTUM FIELD THEORY; STOCHASTIC CHEMICAL REACTIONS; STOCHASTIC DIFFERENTIAL EQUATIONS; TIME EVOLUTIONS;

ALGEBRA; ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; FORMAL LANGUAGES; LOGIC PROGRAMMING; REACTION KINETICS; SEMANTICS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SYNTACTICS;

RANDOM PROCESSES;

EID: 84864568905     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Mjolsness, E. (2005). Stochastic Process Semantics for Dynamical Grammar Syntax. UC Irvine, Irvine. UCI ICS TR# 05-14, http://computableplant.ics.uci. edu/papers/#frameworks.
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3. Risken, H. (1984). The Fokker-Planck Equation. Berlin: Springer.
4. Gillespie, D. J., (1976). Comput. Phys. 22, 403-434 .
5. Cenzer, D., Marek, V.W., &Remmel, J. B. (2005). Logic programming with infinite sets. Annals of Mathematics and Artificial Intelligence, Volume 44, Issue 4, Aug 2005, Pages 309-339. (Pubitemid 41361147)
6. Cuny, J., Ehrig, H., Engels, G., & Rozenberg, G. (1994). Graph Grammars and their Applications to Computer Science. Springer.
7. Prusinkiewicz, P., & Lindenmeyer, A. (1990). The Algorithmic Beauty of Plants. New York: Springer-Verlag.
8. E. Mjolsness (2005). Variable-Structure Systems from Graphs and Grammars. UC Irvine School of Information and Computer Sciences, Irvine. UCI ICS TR# 05-09, http://computableplant.ics.uci.edu/papers/vbl-Struct-GG-TR.pdf.
9. Victoria Gor, Tigran Bacarian, Michael Elowitz, Eric Mjolsness (2005). Tracking Cell Signals in Fluorescent Images. Computer Vision Methods for Bioinformatics (CVMB) workshop at Computer Vision and Pattern Recognition (CVPR), San Diego.
10. Bruce E. Shapiro, Andre Levchenko, Elliot M. Meyerowitz, Barbara J. Wold, and Eric D. Mjolsness (2003). Cellerator: Extending a computer algebra system to include biochemical arrows for signal transduction simulations. Bioinformatics 19: 677-678.