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This paper examines the potential and the impact of introducing learning capabilities into autonomous agents that make decisions at run-time about which mechanism to exploit in order to coordinate their activities. Specifically, our motivating hypothesis is that to deal with dynamic and unpredictable environments it is important to have agents that learn the right situations in which to attempt coordination and the right coordination method to use in those situations. In particular, thedoi:10.1111/j.1467-8640.2005.00272.x fatcat:ivb25j2f7je75pqb7vbjmva4sq