Evolutionary and Neurobiologically Inspired Computational Platform for Autonomous Vehicle Control

Building upon the Edelman's Neural Darwinism and Damasio's brain model, we propose a framework for creating evolutionary and neurobiologically inspired computational platforms for autonomous vehicle control as well as for applications in the arena of ambient intelligence. Additionally, we propose this framework within a larger one that includes sensor and actuator interfaces together with a communications infrastructure for social interaction. Phase I of this project includes the development of a specification for these platforms and the creation of prototype hardware. Phase II proposes an application with a population of these platforms.