One of the major challenges in the field of neurally driven evolved autonomous agents is deciphering the neural mechanisms underlying their behavior. Aiming at this goal, we have d...
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaa...
Continued research into distributed agent-based systems and evolving web based technologies are opening up tremendous possibilities for the deployment of large scale and highly ex...
The paper gives overview of a multi-agent real-time scheduler for the European operation of one of the largest rent-a-car company in the world. It describes requirements for schedu...
Slava Andreev, George Rzevski, Peter Shviekin, Pet...
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...