Modelling and Simulating Cellular Automata

Modelling and Simulating Cellular Automata

Cellular automata (CA) consists of a simple and well-formalized model of massively parallel computing, known to be capable of universal computing. CA has rich information processing capabilities because of their parallel behaviour; however, defining their power limitations is not easy. It is a useful approach to classifying the computational capacity of CA to examine their complexity classes.

There are many fundamental open problems with cellular automata. For example:
1 Is the RPCA language class closed (concatenation) under reversal?
2 Is LPCA stronger than RPCA?
3 Is PCA more powerful than LPCA?
In this paper I explained the questions and explained what has been done so far.

Project Poster: 

Project Members: 

Yunus Emre Demirci

Project Advisor: 

A. C. Cem Say

Project Status: 

Project Year: 

2019
  • Spring

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