Oct 22, 2024 · The approach is based on varying the size of initial configurations which allows making comparisons and analysis between the different solutions ...

We show then through a set of numerical results that the proposed mechanism allows collecting solutions for the DCT more efficiently and with reduced efforts.

The approach is based on varying the size of initial configurations which allows making comparisons and analysis between the different solutions. We show then ...

We show then through a set of numerical results that the proposed mechanism allows collecting solutions for the DCT more efficiently and with reduced efforts.

Abstract: The density classification task (DCT for short) is one of the most studied benchmark problems for analyzing emergent computations performed by ...

We show then through a set of numerical results that the proposed mechanism allows collecting solutions for the DCT more efficiently and with reduced efforts.

Mar 31, 2017 · Scalability Property in Solving the Density Classification Task. Zakaria, Laboudi;Salim, Chikhi;Saliha, Lakhdari. Journal of Information ...

We show then through a set of numerical results that the proposed mechanism allows collecting solutions for the DCT more efficiently and with reduced efforts.

Scalability Property in Solving the Density Classification Task · Computer Science. Journal of Information Technology Research · 2017.

One of the most studied inverse problems in cellular automata (CAs) is the density classification problem. It consists in finding a CA such that, ...