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PPSN
2004
Springer
14 years 2 months ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong
ECAI
2010
Springer
13 years 10 months ago
LP Solvable Models for Multiagent Fair Allocation Problems
This paper proposes several operational approaches for solving fair allocation problems in the context of multiagent optimization. These problems arise in various contexts such as ...
Julien Lesca, Patrice Perny
ATAL
2004
Springer
14 years 2 months ago
Fitting and Compilation of Multiagent Models through Piecewise Linear Functions
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
David V. Pynadath, Stacy Marsella
CP
2003
Springer
14 years 2 months ago
Terminating Decision Algorithms Optimally
Incomplete decision algorithms can often solve larger problem instances than complete ones. The drawback is that one does not know whether the algorithm will finish soon, later, ...
Tuomas Sandholm
DAGSTUHL
1994
13 years 10 months ago
A Distributed Control Architecture for Autonomous Robot Systems
The main advantage of distributed controlled robots and subsystems is the decentralized task execution by the system components. This way, properties for the design of flexible co...
Thomas Laengle, Tim Lüth, Ulrich Rembold