In this paper, we study the behavior (processes) of reaction systems where the context is not arbitrary, but it has its own structure. In particular, we consider a model where the context for a reaction system originates from a network of reaction systems. Such a network is formalized as a graph with reaction systems residing at its nodes, where each reaction system contributes to defining the context of all its neighbors. This paper provides a framework for investigating the behavior of reaction systems receiving contexts from networks of reaction systems, provides a characterisation of their state sequences, and considers different topologies of context networks
We study chemical reaction networks (CRNs) as a kernel model of concurrency provided with semantics ...
We study chemical reaction networks (CRNs) as a kernel language for concurrency models with semantic...
We study chemical reaction networks (CRNs) as a kernel language for concurrency models with semantic...
The basic processes that bring about living systems are conventionally represented in the framework ...
Reaction Networks have been recently proposed as a framework for systems modeling due to its capabil...
Different types of macroscopic reaction kinetics can be derived from microscopic molecular interacti...
Reaction systems are a qualitative formalism for the modelling of systems of biochemical reactions. ...
Recent advances in systems biology have uncovered detailed mechanisms of biological pro-cesses such ...
Many recent studies on Chemical Reaction Network Theory indicate that there is a renewed interest in...
In biological cells, chemical reaction pathways lead to complex network systems like metabolic netwo...
In the area of Natural Computing, reaction systems are a qualitative abstraction inspired by the fun...
3siReaction systems is a formal model of computation which originated as a model of interactions bet...
This paper studies a chemical reaction network’s (CRN) reactant subspace, i.e. the linear subspace g...
The identification of models of chemical reaction networks is of importance in the safe, economic an...
Biochemical reaction networks may be modeled as biochemical reaction systems consisting of different...
We study chemical reaction networks (CRNs) as a kernel model of concurrency provided with semantics ...
We study chemical reaction networks (CRNs) as a kernel language for concurrency models with semantic...
We study chemical reaction networks (CRNs) as a kernel language for concurrency models with semantic...
The basic processes that bring about living systems are conventionally represented in the framework ...
Reaction Networks have been recently proposed as a framework for systems modeling due to its capabil...
Different types of macroscopic reaction kinetics can be derived from microscopic molecular interacti...
Reaction systems are a qualitative formalism for the modelling of systems of biochemical reactions. ...
Recent advances in systems biology have uncovered detailed mechanisms of biological pro-cesses such ...
Many recent studies on Chemical Reaction Network Theory indicate that there is a renewed interest in...
In biological cells, chemical reaction pathways lead to complex network systems like metabolic netwo...
In the area of Natural Computing, reaction systems are a qualitative abstraction inspired by the fun...
3siReaction systems is a formal model of computation which originated as a model of interactions bet...
This paper studies a chemical reaction network’s (CRN) reactant subspace, i.e. the linear subspace g...
The identification of models of chemical reaction networks is of importance in the safe, economic an...
Biochemical reaction networks may be modeled as biochemical reaction systems consisting of different...
We study chemical reaction networks (CRNs) as a kernel model of concurrency provided with semantics ...
We study chemical reaction networks (CRNs) as a kernel language for concurrency models with semantic...
We study chemical reaction networks (CRNs) as a kernel language for concurrency models with semantic...