The Pan American (1983-04)

https://scholarworks.utrgv.edu/panamerican/1270/thumbnail.jp

The Pan American (1983-02)

https://scholarworks.utrgv.edu/panamerican/1272/thumbnail.jp

The Pan American (1983-03)

https://scholarworks.utrgv.edu/panamerican/1271/thumbnail.jp

The Pan American (1983-05)

https://scholarworks.utrgv.edu/panamerican/1269/thumbnail.jp

The Pan American (1982-12)

https://scholarworks.utrgv.edu/panamerican/1240/thumbnail.jp

The Pan American (1983-01)

https://scholarworks.utrgv.edu/panamerican/1273/thumbnail.jp

The relationship between church health and a merged congregations in the Kentucky Conference

https://place.asburyseminary.edu/ecommonsatsdissertations/2147/thumbnail.jp

Environmental regulation using Plasticoding for the evolution of robots

Evolutionary robot systems are usually affected by the properties of the environment indirectly through selection. In this paper, we present and investigate a system where the environment also has a direct effect: through regulation. We propose a novel robot encoding method where a genotype encodes multiple possible phenotypes, and the incarnation of a robot depends on the environmental conditions taking place in a determined moment of its life. This means that the morphology, controller, and behavior of a robot can change according to the environment. Importantly, this process of development can happen at any moment of a robot lifetime, according to its experienced environmental stimuli. We provide an empirical proof-of-concept, and the analysis of the experimental results shows that Plasticoding improves adaptation (task performance) while leading to different evolved morphologies, controllers, and behaviour.Comment: This paper was submitted to the Frontiers in Robotics and AI journal on the 22/02/2020, and is still under revie

Comparing indirect encodings by evolutionary attractor analysis in the trait space of modular robots

In evolutionary robotics, the representation of the robot is of primary importance. Often indirect encodings are used, whereby a complex developmental process grows a body and a brain from a genotype. In this work, we aim at improving the interpretability of robot morphologies and behaviours resulting from indirect encoding. We develop and use a methodology that focuses on the analysis of evolutionary attractors, represented in what we call the trait space: Using trait descriptors defined in the literature, we define morphological and behavioural Cartesian planes where we project the phenotype of the final population. In our experiments we show that, using this analysis method, we are able to better discern the effect of encodings that differ only in minor details