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ATAL
2007
Springer
16 years 10 days 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
ATAL
2008
Springer
15 years 8 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
ESANN
2006
15 years 7 months ago
Extended model of conditioned learning within latent inhibition
Due to the various and dynamic nature of stimuli, decisions of intelligent agents must rely on the coordination of complex cognitive systems. This paper precisely focusses on a gen...
Nicolas Gomond, Jean Marc Salotti
AOSE
2005
Springer
15 years 11 months ago
Hermes: Designing Goal-Oriented Agent Interactions
Interactions between agents are traditionally specified as interaction protocols using notations such as Petri nets, AUML, or finite state machines. These protocols are a poor ...
Christopher Cheong, Michael Winikoff
AAAI
2010
15 years 7 months ago
Generalized Task Markets for Human and Machine Computation
We discuss challenges and opportunities for developing generalized task markets where human and machine intelligence are enlisted to solve problems, based on a consideration of th...
Dafna Shahaf, Eric Horvitz