Cellular Automata are used in a number of areas: fluid dynamics, ecosystem modelling, etc. In this paper we attempt to provide a method of evolving rule sets that support “interesting ” life. Rather than identifying individual creatures, the entropy of the cellular automaton is used to calculate the fitness (or interesting-ness) of a rule set. Genetic algorithms are employed for the search of good solutions, including a novel technique for fitness scaling, the advantages of which are experimentally demonstrated.
Complex multi-cellular organisms are the result of evolution over billions of years. Their ability t...
Synthesis of cellular automata is an important area of modeling and describing complex systems. Larg...
This thesis regards the study of cellular automata, with an outlook on biological systems. Cellular ...
It is difficult to define a set of rules for a cellular automaton (CA) such that creatures with life...
The use of a genetic algorithm to obtain "interesting" initial conditions for cellular automata of t...
Cellular automata are used in many fields to generate a global behavior with local rules. Finding th...
In this article is investigate possibility of evolutionary algorithms use on one-dimensional cellula...
It is argued that a fruitful, and as yet unexplored, avenue for artificial life research lies in mod...
Abstract. In Twenty Problems in the Theory of Cellular Automata, Stephen Wolfram asks “how common co...
We investigate the state change behavior of one-dimensional cellular automata during the solution of...
The emergence of collision based computing in complex systems with local interactions is discussed. ...
Abstract. This paper presents an evolutionary approach for the search for new complex cellular autom...
The rules underlying Life are simple, according to computer scientists. Biologists are inclined to b...
Manual design of levels can be an expensive and time consuming process. Procedural content generatio...
We present results from an experiment similar to one performed by Packard (1988), in which a genetic...
Complex multi-cellular organisms are the result of evolution over billions of years. Their ability t...
Synthesis of cellular automata is an important area of modeling and describing complex systems. Larg...
This thesis regards the study of cellular automata, with an outlook on biological systems. Cellular ...
It is difficult to define a set of rules for a cellular automaton (CA) such that creatures with life...
The use of a genetic algorithm to obtain "interesting" initial conditions for cellular automata of t...
Cellular automata are used in many fields to generate a global behavior with local rules. Finding th...
In this article is investigate possibility of evolutionary algorithms use on one-dimensional cellula...
It is argued that a fruitful, and as yet unexplored, avenue for artificial life research lies in mod...
Abstract. In Twenty Problems in the Theory of Cellular Automata, Stephen Wolfram asks “how common co...
We investigate the state change behavior of one-dimensional cellular automata during the solution of...
The emergence of collision based computing in complex systems with local interactions is discussed. ...
Abstract. This paper presents an evolutionary approach for the search for new complex cellular autom...
The rules underlying Life are simple, according to computer scientists. Biologists are inclined to b...
Manual design of levels can be an expensive and time consuming process. Procedural content generatio...
We present results from an experiment similar to one performed by Packard (1988), in which a genetic...
Complex multi-cellular organisms are the result of evolution over billions of years. Their ability t...
Synthesis of cellular automata is an important area of modeling and describing complex systems. Larg...
This thesis regards the study of cellular automata, with an outlook on biological systems. Cellular ...