The performance of decoder-based evolutionary algorithms (EAs) strongly depends on the locality of the used decoder and operators. While many approaches to characterize locality ar...
This paper reports on the phenomenon that may be called "derivative meaning," where the basic semantic conventions for certain graphical representation systems give rise...
We propose a new method for generating BDDs from hardware algorithm descriptions written in a programming language. Our system can deal with control structures, such as conditiona...
\Ibots" (Integrating roBOTS) is a computer experiment in group learning. It is designed to understand how to use reinforcement learning to program automatically a team of robo...
Parallel closed-chainmechanical architectures allow for redundant actuation in the force domain. Antagonistic actuation, afforded by this input force redundancy, in conjunction wi...