Nicolás S. Estévez

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We present a method for evolving and implementing artificial neural networks (ANNs) on Field Programmable Analog Arrays (FPAAs). These FPAAs offer the small size and low power usage desirable for space applications. We use two cascaded FPAAs to create a two layer ANN. Then, starting from a population of random settings for the network, we are able to evolve(More)
Developmental systems typically produce a phenotype through a generative process whose outcome depends on feedback from the environment. In most artificial developmental systems, this feedback occurs in one way: The environment affects the development process, but the development process does not necessarily affect the environment. Here we explore a(More)
In engineering design, form has traditionally been specified explicitly using blueprints. This thesis explores an alternate way of specifying form built on interactions between dynamical systems. This alternate form specification is based on ideas from natural development. Inspired by termite nest building behavior, dynamic developmental systems are(More)
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