Artificial Hormone Reaction Networks: Towards Higher Evolvability in Evolutionary Multi-Modular Robotics

The semi-automatic or automatic synthesis of robot controller software is both desirable and challenging. Synthesis of rather simple behaviors such as collision avoidance by applying artificial evolution has been shown multiple times. However, the difficulty of this synthesis increases heavily with increasing complexity of the task that should be performed by the robot. We try to tackle this problem of complexity with Artificial Homeostatic Hormone Systems (AHHS), which provide both intrinsic, homeostatic processes and (transient) intrinsic, variant behavior. By using AHHS the need for predefined controller topologies or information about the field of application is minimized. We investigate how the principal design of the controller and the hormone network size affects the overall performance of the artificial evolution (i.e., evolvability). This is done by comparing two variants of AHHS that show different effects when mutated. We evolve a controller for a robot built from five auto...

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Heiko Hamann, Jürgen Stradner, Thomas Schmickl, Karl Crailsheim
• Keywords: Artificial Evolution, Artificial Homeostatic Hormone, CORR 2010, Education, Robot Controller Software