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IJFCS
2006
130views more  IJFCS 2006»
15 years 12 days ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
RP
2009
Springer
136views Control Systems» more  RP 2009»
15 years 7 months ago
Probabilistic Model Checking of Biological Systems with Uncertain Kinetic Rates
We present an abstraction of the probabilistic semantics of Multiset Rewriting to formally express systems of reactions with uncertain kinetic rates. This allows biological systems...
Roberto Barbuti, Francesca Levi, Paolo Milazzo, Gu...
CJ
2006
100views more  CJ 2006»
15 years 14 days ago
Fuzzifying P Systems
Abstract. Uncertainty is an inherent property of all living systems. Curiously enough, computational models inspired by biological systems do not take, in general, under considerat...
Apostolos Syropoulos
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
16 years 29 days ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
117
Voted
UPP
2004
Springer
15 years 5 months ago
Higher-Order Chemical Programming Style
The chemical reaction metaphor describes computation in terms of a chemical solution in which molecules interact freely according to reaction rules. Chemical solutions are represen...
Jean-Pierre Banâtre, Pascal Fradet, Yann Rad...