Submission Deadline Extended to April 7, 2012
Cellular automata (CA) present a very powerful approach to the study of spatio-temporal systems where complex phenomena build up out of many simple local interactions. They account often for real phenomena or solutions of problems, whose high complexity could unlikely be formalised in different contexts.
Furthermore parallelism and locality features of CA allow a straightforward and extremely easy parallelisation, therefore an immediate implementation on parallel computing resources. These characteristics of the CA research resulted in the formation of interdisciplinary research teams. These teams produce remarkable research results and attract scientists from different fields.
The main goal of the 10th edition of ACRI 2012 Conference (Cellular Automata for Research and Industry) is to offer both scientists and engineers in academies and industries an opportunity to express and discuss their views on current trends, challenges, and state-of-the art solutions to various problems in the fields of arts, biology, chemistry, communication, cultural heritage, ecology, economy, geology, engineering, medicine, physics, sociology, traffic control, etc.
Topics of either theoretical or applied interest about CA and CA-based models and systems include but are not limited to:
- Algebraic properties and generalization
- Complex systems
- Computational complexity
- Dynamical systems
- Hardware circuits, architectures, systems and applications
- Modeling of biological systems
- Modeling of physical or chemical systems
- Modeling of ecological and environmental systems
- Image Processing and pattern recognition
- Natural Computing Quantum Cellular Automata
- Parallelism
This edition of the ACRI conference also hosts workshops on recent and important research topics on theory and applications of Cellular Automata like the following: Crowds and Cellular Automata (4th edition), Asynchronous Cellular Automata (2nd edition), Traffic and Cellular Automata (2nd edition), andCellular Automata Models of Cancer Growth and Invasion (1st Edition).
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