Land use change is driven by interaction in space and time between humans and the environment that can be captured by computer simulation models (Veldkamp and Verburg, 2004). In the last few decades, land use change models have played an important role in understanding the causes, mechanisms and consequences of land use dynamics. SLEUTH is an open source cellular automata based land use change ...

Received 17 Revised Cellular learning automata is a combination of learning automata and cellular automata. 19 This model is superior to cellular learning automata because of its ability to learn and also is superior to single learning automaton because it is a collection of learning 21 automata which can interact together. In some applications such as image processing, a type of cellular learn...

This paper presents a new framework for modelling tumourinduced angiogenesis. Classical Cellular Automata approach is employed to model cellular and intracellular processes that occur in cancer tissue and neighbourhood. Vascular system is modelled by using Graph of Cellular Automata, which combines graph theory with Cellular Automata paradigm. A new model is proposed as a starting point for fur...

Introduction of micro-cellular networks offer a potential increase in capacity of cellular networks, but they create problems in management of the cellular networks. A solution to these problems is self-organizing channel assignment algorithm with distributed control. In this paper, ''le first introduce the model of cellular learning automata in which learning automata are used to adjust the st...

In this paper we show how to use Specification and Description Language (SDL) to represent cellular automata models. To achieve that we use a generalization of the common cellular automata, named m:n-CA, allowing the definition of multiple layers in a single cellular automata. Also we add some extension to SDL language to simplify the representation of these automata. Thanks SDL and m:n-CA the ...

As freeway traffic is increasing in exponential rate day by day need an correct and practical methods to model and control the traffic flow.A cellular Automata (CA) is a system of finite automata that provide a discrete computational model to under the complex behaviour system. This article provides a survey on how researchers can use Cellular Automata to control the traffic on highway includin...

A new asynchronous cellular automata model is described. The model provides an experimental and theoretical framework to investigate quantitatively realistic simulations. The parallel execution of such simulations introduces the need of synchronisation of the asynchronous parallel processes. Time Warp is proposed as a synchronisation method for the parallel asynchronous cellular automata. We in...

We use a genetic algorithm to calibrate a spatially and temporally resolved cellular automata to model mining activity on public land in Idaho and western Montana. The genetic algorithm searches through a space of transition rule parameters of a two dimensional cellular automata model to find rule parameters that fit observed mining activity data. Previous work by one of the authors in calibrat...

The literature of building computational and mathematical models of proteins is rich and diverse, since its practical applications are of a vital importance in the development of many fields. Modeling proteins is not a straightforward process and in some modeling strategies, it requires to combine concepts from different fields including physics, chemistry, thermodynamics, and computer science....