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» Multi-agent task allocation: learning when to say no
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GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 6 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker
CEC
2007
IEEE
13 years 11 months ago
An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system
— Static resources allocation problems have been widely studied. More recently some of this attention has changed to focus on dynamic problems, where problem specifications, con...
D. J. Cornforth
IAT
2007
IEEE
13 years 11 months ago
A Study of an Approach to the Collective Iterative Task Allocation Problem
A major challenge in the field of Multi-Agent Systems is to enable autonomous agents to allocate tasks efficiently. This paper extends previous work on an approach to the collec...
Christian Guttmann, Iyad Rahwan, Michael P. George...
ICMAS
1998
13 years 6 months ago
A Market Protocol for Decentralized Task Allocation
We present a decentralized, asynchronous market protocol for allocating and scheduling tasks among agents that contend for scarce resources, constrained by a hierarchical task dep...
William E. Walsh, Michael P. Wellman
ATAL
2009
Springer
13 years 11 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser