43 search results - page 6 / 9 » Multi-objective Genetic Programming for Multiple Instance Le... |
IAT
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
AAAI
2006
13 years 8 months ago
2006
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
ROBOCUP
1998
Springer
13 years 11 months ago
1998
Springer
Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors thr...