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IJCAI
2001
15 years 5 months ago
Learning Procedural Knowledge to Better Coordinate
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This paper presents techniques that allow heterogeneous agent...
Andrew Garland, Richard Alterman
ACOM
2004
Springer
15 years 9 months ago
Formulating Agent Communication Semantics and Pragmatics as Behavioral Expectations
Abstract. Although several approaches to the semantics of agent communication have been proposed, none of them is really suitable for dealing with agent autonomy, which is a decisi...
Matthias Nickles, Michael Rovatsos, Gerhard Wei&sz...
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ATAL
2004
Springer
15 years 9 months ago
Empirical-Rational Semantics of Agent Communication
The missing of an appropriate semantics of agent communication languages is one of the most challenging issues of contemporary AI. Although several approaches to this problem exis...
Matthias Nickles, Michael Rovatsos, Gerhard Wei&sz...
AIIDE
2006
15 years 5 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
AAAI
1996
15 years 5 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