COSC 420/427/527: Biologically-Inspired Computation Project 1: “Edge of Chaos” in 1D Cellular Automata

COSC 420/427/527: Biologically-Inspired Computation Project 1: “Edge of Chaos” in 1D Cellular Automata

COSC 420/427/527: Biologically-Inspired Computation

COSC 420/427/527: Biologically-Inspired Computation

Asynchronous 1D Cellular Automata and the Effects of Fluctuation and Randomness

Cellular automata are used as models of emergent computation and artificial life. They are usually simulated under synchronous and deterministic conditions. Thus, they are evolved without existence of noise, i.e., fluctuation or randomness. However, noise is unavoidable in real world. The target of the present paper is to show the following two effects and several other phenomena caused by exis...

Edge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...