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ECAL
2001
Springer
14 years 2 months ago
Pareto Optimality in Coevolutionary Learning
We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms....
Sevan G. Ficici, Jordan B. Pollack
AAAI
2007
14 years 19 days ago
R-CAST: Integrating Team Intelligence for Human-Centered Teamwork
Developing human-centered agent architectures requires the integral consideration of architectural flexibility, teamwork adaptability, and context reasoning capability. With the ...
Xiaocong Fan, John Yen
AAAI
2008
14 years 19 days ago
A Demonstration of the RADAR Personal Assistant
Email clients were not designed to serve as a task management tools, but a high volume of task-relevant information in email leads many people to use email clients for this purpos...
Andrew Faulring, Brad A. Myers, Ken Mohnkern, Mich...
AAAI
1996
13 years 11 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
ATAL
2010
Springer
13 years 11 months ago
High-level reinforcement learning in strategy games
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...
Christopher Amato, Guy Shani