A framework for automating the construction of computational models

Authors:
E. Hourdakis;P. Trahanias
Affiliations:
Department of Computer Science, University of Crete, Greece and Computational Vision and Robotics Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas, Herakl ...;Department of Computer Science, University of Crete, Greece and Computational Vision and Robotics Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas, Herakl ...
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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Abstract

Computational modeling of natural systems can be used for interdisciplinary applications, such as the configuration of robotic systems or the validation of biological ones. Up to date there has been a little progress on suggesting a framework for automating the process of creating a computational model for biological processes. Instead researchers focus on the implementations of systems that are intended to replicate a tight set of biological behaviors. Such framework should be able to construct any system based on the appropriate level of abstraction chosen by the designer, as well as be able to enforce the appropriate biological consistency without compromising on performance or scalability of the generated models. In this paper we propose a framework that can automate the construction of computational models using genetic algorithms and demonstrate how this framework can construct a model of the parieto-frontal and premotor regions involved in grasping.