Interesting paragraph found in the 'Related Research' section of 'Collective Iterative Allocation: Enabling Fast and Optimal Group Decision Making' (2008) by Christian Guttman, Michael Georgeff and Iyad Rahwan:
"Distributed coordination procedures are often investigated using the Multi-Agent Systems (MAS) paradigm, because it makes realistic assumptions of the autonomous and distributed nature of the components in system networks [...]. Many MAS approaces do not adequately address the 'Collective Iterative Allocation' problem as they use each agent's models separately to improve coordination as opposed to all agents using their models together. That is, each agent uses its own models to decide on allocating a team to a task even if other, more knowledgeable agents would suggest better allocations..."
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