Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural-network architectures for pattern classification. They help ov...
We present teleassistance, a two-tiered control structure for robotic manipulation that combines the advantages of autonomy and teleoperation. At the top level, a teleoperator pro...
The state space of most adversary games is a directed graph. However, due to the success of simple recursive algorithms based on Alpha-Beta, theoreticians and practitioners have c...
Aske Plaat, Jonathan Schaeffer, Wim Pijls, Arie de...
Rather than create a control system from scratch each time we build a new robot creature, we would like to generate control systems automatically. I have implemented an algorithm ...