Cellular automata machines: a new environment for modeling
Cellular automata machines: a new environment for modeling
Cryptography with cellular automata
Lecture notes in computer sciences; 218 on Advances in cryptology---CRYPTO 85
Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Cellular Automata-Based Signature Analysis for Built-In Self-Test
IEEE Transactions on Computers
Cellular automata in pattern recognition
Information Sciences: an International Journal
Microscopic traffic modeling on parallel high performance computers
Parallel Computing
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Parallel neighbourhood modeling: research summary
Proceedings of the eighth annual ACM symposium on Parallel algorithms and architectures
Designing parallel models of soil contamination by the CARPET language
Future Generation Computer Systems - Special issue on HPCN '97
Cellular automata: promise and prospects in computational science
Future Generation Computer Systems - Special issue on cellular automata: promise in computational science
A Parallel Cellular Tool for Interactive Modeling and Simulation
IEEE Computational Science & Engineering
The DEVS Environment for High-Performance Modeling and Simulation
IEEE Computational Science & Engineering
The Emergence of Cellular Computing
Computer
Programming Environments for Cellular Automata
ACRI '96 Proceedings of the Second Conference on Cellular Automata for Research and Industry
Reliable computation with cellular automata
STOC '83 Proceedings of the fifteenth annual ACM symposium on Theory of computing
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
An abstraction of intercellular communication
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Simulation of a cellular landslide model with CAMELOT on high performance computers
Parallel Computing - Special issue: High performance computing with geographical data
Cell-centric heuristics for the classification of cellular automata
Parallel Computing
Environmental Modelling & Software
Using cellular automata for parallel simulation of laser dynamics with dynamic load balancing
International Journal of High Performance Systems Architecture
Fire spreading simulation in large buildings based on cellular automata
CONTROL'10 Proceedings of the 6th WSEAS international conference on Dynamical systems and control
Efficient implementation of cellular algorithms on reconfigurable hardware
EUROMICRO-PDP'02 Proceedings of the 10th Euromicro conference on Parallel, distributed and network-based processing
Parallel implementation of a cellular automaton model for the simulation of laser dynamics
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Using Cell-DEVS for modeling complex cell spaces
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Application of shannon's entropy to classify emergent behaviors in a simulation of laser dynamics
Mathematical and Computer Modelling: An International Journal
Hi-index | 4.10 |
Recently, computational simulation has become a third approach along with theory and laboratory simulation to studying and solving scientific problems. In this approach, a computer equipped with problem solving software tools may represent a virtual laboratory in which researchers can build a model for a given problem and run it under varying conditions. These increasingly complex computational methodologies require sophisticated models and techniques, and vice versa. The authors explain how developing and validating complex models will increasingly depend on significant advances in experimental and testing techniques. High performance parallel computers gave researchers the ability to implement inherently parallel techniques such as cellular automata (CA), neural networks, and genetic algorithms significant new mathematical models for describing complex scientific phenomena. This article explains how cellular automata offer a powerful modeling approach for complex systems in which global behavior arises from the collective effect of many locally interacting, simple components.