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ATAL
2007
Springer
15 years 11 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
136
Voted
ROBOCUP
2005
Springer
108views Robotics» more  ROBOCUP 2005»
15 years 10 months ago
Successful Search and Rescue in Simulated Disaster Areas
RoboCupRescue Simulation is a large-scale multi-agent simulation of urban disasters where, in order to save lives and minimize damage, rescue teams must effectively cooperate despi...
Alexander Kleiner, Michael Brenner, Tobias Brä...
FLAIRS
2008
15 years 7 months ago
Recovering from Inconsistency in Distributed Simple Temporal Networks
Simple Temporal Networks (STNs) are frequently used in scheduling applications, as they provide a powerful and general tool for managing temporal constraints. One obstacle to thei...
Anthony Gallagher, Stephen F. Smith
AAAI
2010
15 years 6 months ago
Convergence to Equilibria in Plurality Voting
Multi-agent decision problems, in which independent agents have to agree on a joint plan of action or allocation of resources, are central to AI. In such situations, agents' ...
Reshef Meir, Maria Polukarov, Jeffrey S. Rosensche...
170
Voted
IIWAS
2008
15 years 6 months ago
Double-agent architecture for collaborative supply chain formation
Supply chains have evolved to web-applications that tap on the power of internet to expand their networks online. Recently some research attention is focused on make-to-order supp...
Yang Hang, Simon Fong