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ECAI
2004
Springer
15 years 3 months ago
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
AAAI
1992
14 years 11 months ago
Automatic Programming of Robots Using Genetic Programming
The goal in automatic programming is to get a computer to perform a task by telling it what needs to be done, rather than by explicitly programming it. This paper considers the ta...
John R. Koza, James Rice
ICIA
2007
15 years 5 days ago
Learning Interaction between Conflicting Human Agents and Their Assistants
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Boris Galitsky, Boris Kovalerchuk
CEC
2007
IEEE
15 years 1 months ago
Double-deck elevator systems using Genetic Network Programming with reinforcement learning
Abstract-- In order to increase the transportation capability of elevator group systems in high-rise buildings without adding elevator installation space, double-deck elevator syst...
Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jin...
AAAI
2008
15 years 5 days ago
Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks
Proactive assessment of computer-network vulnerability to unknown future attacks is an important but unsolved computer security problem where AI techniques have significant impact...
Scott Dejmal, Alan Fern, Thinh Nguyen