Production System Rules as Protein Complexes from Genetic Regulatory Networks

TL;DR

This paper proposes a novel indirect encoding scheme for production system rules, representing them as protein complexes generated by genetic regulatory networks, demonstrating competitive performance on benchmark problems.

Contribution

It introduces a new encoding approach linking production rules to protein complexes from genetic regulatory networks, bridging rule design and biological modeling.

Findings

Competitive performance with existing systems on benchmark problems

Successful encoding of ternary and fuzzy rules from regulatory networks

Demonstrates potential of biological-inspired rule encoding methods

Abstract

This short paper introduces a new way by which to design production system rules. An indirect encoding scheme is presented which views such rules as protein complexes produced by the temporal behaviour of an artificial genetic regulatory network. This initial study begins by using a simple Boolean regulatory network to produce traditional ternary-encoded rules before moving to a fuzzy variant to produce real-valued rules. Competitive performance is shown with related genetic regulatory networks and rule-based systems on benchmark problems.