In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and reverse-engineer the rules. Alexander Mordvintsev showed me two clumps of pixels on ...

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1 College of Desert Control, Science, and Engineering, Inner Mongolia Agricultural University, Hohhot, China 2 Key Laboratory of Desert Ecosystem Protection and Restoration, State Forestry ...

Abstract: This study explores running times of different ways to program cellular automata in C and C++, i.e. looping through arrays by different means, the effect of structures and objects, and the ...

Wildfires pose a significant threat to natural ecosystems, human lives, and properties worldwide. Developing effective prevention and control strategies is crucial for minimizing the risk of ...

Cellular automata (CA) have become essential for exploring complex phenomena like emergence and self-organization across fields such as neuroscience, artificial life, and theoretical physics. Yet, the ...

ABSTRACT: Prediction of urban growth is vital in planning for the future in terms of socio-economic indicators as well as ensuring growth of urban areas meet sustainability goals. The objective of ...

One of the main challenges in cellular automata (CA) systems, particularly in Conway’s Game of Life (Life), lies in predicting their emergent behavior without explicitly knowing the underlying grid ...

LyzrCore introduces Lyzr Automata, which represents a significant advancement in the field of process automation, offering a low-code multi-agent framework designed to streamline complex workflows. At ...

Quantum-dot Cellular Automata (QCA) is recognized in electronics for its low power consumption and high-density capabilities, emerging as a potential substitute for CMOS technology. GDI (Gate ...