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Wilson introduced XCSF as a successor to XCS. The major development of XCSF is the concept of a computed prediction. The efficiency of XCSF in dealing with numerical input and continuous payoff has been demonstrated. However, the possible actions must always be determined in advance. Yet domains such as robot control require numerical actions, so that(More)
Form generation or morphogenesis is one of the main stages of both artificial and natural development. This paper provides results from experiments in which a genetic algorithm (GA) was used to evolve cellular automata (CA) to produce predefined 2D and 3D shapes. The GA worked by evolving the CA rule table and the number of iterations that the model was to(More)
Classical chess engines exhaustively explore moving possibilities from a chessboard configuration to choose what the next best move to play is. In this article we present a new method to solve chess endgames without using Brute-Force algorithms or endgame tables. We are proposing to use Genetic Programming to combine elementary chess patterns defined by a(More)
Cell pattern generation has a fundamental role in both artificial and natural development. This paper presents results from a model in which a genetic algorithm (GA) was used to evolve an artificial regulatory network (ARN) to produce predefined 2D cell patterns through the selective activation and inhibition of genes. The ARN used in this work is an(More)
In order to produce diversity in virtual creatures to populate virtual worlds, different techniques exist. Some of these use blocks or sticks. In this morphological approach, blocks and sticks can be considered as organs, which means body parts able to perform different functions. Another approach, artificial embryogenesis, consists in developing organisms(More)
Over the past two decades, many techniques have been elaborated to simulate artificial, robotic creatures at different scales. After behavioral models in the 1990s, researchers made the robot morphologies evolvable to be better adapted to their environment. More recently, developmental mechanisms of living beings have inspired " artificial embryogeny " and(More)
— Cell pattern formation has a central role in both artificial and natural development. This paper provides results from experiments in which a genetic algorithm (GA) was used to evolve an artificial regulatory network (ARN) to produce prede-fined bidimensional cell patterns through the selective activation of genes. The GA worked by evolving the gene(More)