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ATAL
2006
Springer
14 years 1 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
ATAL
2006
Springer
14 years 1 months ago
On using multi-agent systems in playing board games
Computer programs able to play different kinds of games (aka bots) is a growing area of interest for the computer game industry as the demand for better skilled computerized oppon...
Stefan J. Johansson
ATAL
2006
Springer
14 years 1 months ago
SeSAm: implementation of agent-based simulation using visual programming
In this paper, we present the most important features of SeSAm, a modeling and simulation platform for multi-agent simulations. Based on a declarative, explicit model representati...
Franziska Klügl, Rainer Herrler, Manuel Fehle...
ATAL
2006
Springer
14 years 1 months ago
Robust Incentive-Compatible Feedback Payments
Abstract. Online reputation mechanisms need honest feedback to function effectively. Self interested agents report the truth only when explicit rewards offset the cost of reporting...
Radu Jurca, Boi Faltings
ATAL
2006
Springer
14 years 1 months ago
Learnable behavioural model for autonomous virtual agents: low-level learning
In this paper, we propose a new integration approach for simulation and behaviour in the learning context that is able to coherently manage the shared virtual environment for the ...
Toni Conde, Daniel Thalmann