This paper describes the application of cellular automata (CA) to various image processing
tasks such as denoising and feature detection. Whereas our previous work mainly dealt with …

The main benchmark problems in the cellular automata literature related to discovering rules
able to exhibit given target behaviours have been the density classification task and the …

We describe the development and application of an imaging protocol, which evolves a
scanning probe's atomic structure in parallel with automated optimization of the scan …

In the past decades many definitions of complexity have been proposed. Most of these
definitions are based either on Shannon's information theory or on Kolmogorov complexity; …

Cellular Automata can be successfully applied in image processing. In this paper, we
propose a new edge detection algorithm, based on cellular automata to extract edges of …

Self-assembly is a phenomenon observed in nature at all scales where autonomous entities
build complex structures, without external influences nor centralised master plan. Modelling …

Self-assembly is a distributed, asynchronous mechanism that is pervasive across natural
systems where hierarchical complex structures are built from the bottom-up. The lack of a …

An overview is given on the use of cellular automata for image processing. We first consider
the number of patterns that can exist in a neighbourhood, allowing for invariance to certain …

Porphyrins are molecular units with fourfold sym-metry and suitable for solid substrate
deposition. The chemical structure of a porphyrin molecule reveals four structural units …

The need for intelligent systems has grown in the past decade because of the increasing
demand on humans and machines for better performance. The researchers of AI have …