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JNCA
2007
69views more  JNCA 2007»
15 years 5 months ago
Specifying the intertwining of cooperation and autonomy in agent-based systems
Cooperation and autonomy are two antagonistic core variables of agent-based systems, and a key challenge in designing such systems is to balance these variables appropriately. Thi...
Gerhard Weiß, Matthias Nickles, Michael Rova...
IAT
2005
IEEE
15 years 11 months ago
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
Ah-Hwee Tan, Dan Xiao
ATAL
2007
Springer
16 years 5 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
GECCO
2009
Springer
169views Optimization» more  GECCO 2009»
15 years 10 months ago
An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios
This paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating i...
Fernando dos Santos, Ana L. C. Bazzan
CIA
2003
Springer
15 years 11 months ago
A Peer-to-Peer Approach to Resource Discovery in Multi-agent Systems
A multi-agent system is a network of software agents that cooperate to solve problems. In open multi-agent systems, the agents that need resources provided by other agents are not ...
Vassilios V. Dimakopoulos, Evaggelia Pitoura