A biologically inspired AI abstraction based on phylogenetic and ontogenetic development is proposed. The key factor in the abstraction is iterative development without breaking existing functionality. This approach involves design and observation of systems comprised of artificial organisms situated in environments. An ontogenetic framework involving development and learning stages is discussed. There are critical relationships between iterative biological development and iterative software development. Designing artificial organisms will require a balance of architecture design and design of systems that automatically design other systems. New taxonomies might enable comparisons and sharing of artificial organism design and development.
AAAI Accepted My Paper "An Ecological Development Abstraction for Artificial Intelligence"
My short paper, "An Ecological Development Abstraction for Artificial Intelligence," will be featured in the symposium "How Should Intelligence be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or _____?" and will be published in the AAAI (Association for the Advancement of Artificial Intelligence) technical report for the AAAI 2013 Fall Symposium Series. The symposia will occur November 15-17 in Arlington, Virginia.This is the abstract: