Towards a Framework for Observing Artificial Evolutionary Systems - Computer Science > Neural and Evolutionary ComputingReportar como inadecuado




Towards a Framework for Observing Artificial Evolutionary Systems - Computer Science > Neural and Evolutionary Computing - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Abstract: Establishing the emergence of evolutionary behavior as a definingcharacteristic of -life- is a major step in the Artificial life ALifestudies. We present here an abstract formal framework for this aim based uponthe notion of high-level observations made on the ALife model at hand duringits simulations. An observation process is defined as a computabletransformation from the underlying dynamic structure of the model universe to atuple consisting of abstract components needed to establish the evolutionaryprocesses in the model. Starting with defining entities and their evolutionaryrelationships observed during the simulations of the model, the frameworkprescribes a series of definitions, followed by the axioms conditions thatmust be met in order to establish the level of evolutionary behavior in themodel. The examples of Cellular Automata based Langton Loops and Lambdacalculus based Algorithmic Chemistry are used to illustrate the framework.Generic design suggestions for the ALife research are also drawn based upon theframework design and case study analysis.



Autor: Janardan Misra

Fuente: https://arxiv.org/







Documentos relacionados