Genomic systems design (GSD) is an outgrowth of the union rule configuration (URC), a propositional logic construct that eliminates the combinatorial problem for rule-based systems. Its architecture is scalable, adaptive and fault-tolerant and is well-suited to multi-criteria decision systems and applications that must deal with sparse and missing data. This novel programming paradigm is similar in architecture to a biological process called symbiogenesis. This biological process is said to facilitate the evolution of new species through the inheritance of genomes from organisms that are participating in symbiotic relationships. This similarity, together with the characteristics of the URC, enables genomic systems design to offer a promising alternative methodology for the design of autonomous agents/robots, fault-tolerant and adaptive control systems, cellular automata and bioinformatics.
['William Combs', 'Jeffrey J. Weinschenk', 'Robert J. Marks']
Genomic systems design: a novel, biologically-based framework for enhancing the adaptive, autonomous capabilities of computer systems