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ATAL
2010
Springer
13 years 9 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
ATAL
2008
Springer
13 years 10 months ago
A multi-agent simulation system for prediction and scheduling of aero engine overhaul
The Aero Repair and Overhaul industry is facing an increasing challenge of prediction and scheduling of engine overhauls to remain competitive in a complex business arena. An appr...
Armin Stranjak, Partha Sarathi Dutta, Mark Ebden, ...
JAPLL
2010
104views more  JAPLL 2010»
13 years 6 months ago
Group announcement logic
Two currently active strands of research on logics for multi-agent systems are dynamic epistemic logic, focusing on the epistemic consequences of actions, and logics of coalitiona...
Thomas Ågotnes, Philippe Balbiani, Hans P. v...
SCFBM
2008
112views more  SCFBM 2008»
13 years 8 months ago
The Multiscale Systems Immunology project: software for cell-based immunological simulation
Background: Computer simulations are of increasing importance in modeling biological phenomena. Their purpose is to predict behavior and guide future experiments. The aim of this ...
Faheem Mitha, Timothy A. Lucas, Feng Feng, Thomas ...
ICRA
2003
IEEE
165views Robotics» more  ICRA 2003»
14 years 1 months ago
Multi-robot task-allocation through vacancy chains
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...
Torbjørn S. Dahl, Maja J. Mataric, Gaurav S...