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ATAL
2007
Springer
14 years 1 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
ROBOCUP
2005
Springer
108views Robotics» more  ROBOCUP 2005»
14 years 1 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
13 years 9 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
13 years 9 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...
IIWAS
2008
13 years 9 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