First experiments relating behavior selection architectures to environmental complexity

Abstract

Assessing the performance of behavior selection architectures for autonomous robots is a complex task that depends on many factors. This paper reports a study comparing four motivated behavior-based architectures in different worlds with varying degrees and types of complexity, and analyzes performance results (in terms of viability, life span, and global life quality) relating architectural features to environmental complexity.