This paper describes the design, implementation, visualizations, results and lessons learned of a novel real-world socio-technical research system for the purpose of rescheduling ...
Erwin J. W. Abbink, David G. A. Mobach, Pieter-Jan...
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Commitment-modeled protocols enable flexible and robust interactions among agents. However, existing work has focused on features and capabilities of protocols without considerin...
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Software agents help automate a variety of tasks including those involved in buying and selling products over the internet. The need for handling complex highly configurable produ...
Magda Bahaa Eldin Fayek, Ihab A. Talkhan, Khalil S...