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ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Successful interaction between autonomous agents is contingent on those agents making decisions consistent with the expectations of their peers -- these expectations are based on ...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
BIRTHDAY
2010
Springer
13 years 8 months ago
2010
Springer
Many natural problems in computer science concern structures like graphs where elements are not inherently ordered. In contrast, Turing machines and other common models of computa...
BPSC
2009
13 years 8 months ago
2009
Abstract: In this paper we present our ideas to apply constraint satisfaction on business processes. We propose a multi-level constraint satisfaction approach to handle t levels of...