Latent Energy Environments (1993) [17 citations — 5 self]
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author = {F. Menczer and R. K. Belew},
title = {Latent Energy Environments},
booktitle = {In Adaptive Individuals in Evolving Populations: Models and Algorithms},
year = {1993},
publisher = {Addison Wesley}
}
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Abstract:
. A novel ALife model, called LEE, is introduced and described. The motivation lies in the need for a measure of complexity across different ALife experiments. This goal is achieved through a careful characterization of environments in which different forms of energy are well-defined. A steady-state genetic algorithm is used to model the evolutionary process. Plastic organisms in the population are modeled by neural networks with non-Lamarckian learning during life. Behaviors are shown to be crucial in the interactions between organisms and their environment. Some emerging properties of the model are illustrated and discussed. 1. Introduction From the tradition of artificial intelligence, the relationship between a plastic individual and the environment within which it must operate is often viewed in relatively simplistic, stimulus-response terms. The environment provides input on the basis of which the individual then responds. Perhaps because it has grown out of the same tradition, ...
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