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JNCA
2007
69views more  JNCA 2007»
13 years 8 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
14 years 2 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
14 years 3 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
GECCO
2009
Springer
169views Optimization» more  GECCO 2009»
14 years 1 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
14 years 2 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