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The Engine for Composable Logical Agents with Intuitive Reorganization (ECLAIR) is a cognitive agent architecture that allows an agent to quickly adapt its behavior to new environments. ECLAIR addresses two problems in agent learning: generalizing the process of adaptation and detecting when adaptation is required. ECLAIR incorporates the main mechanisms(More)
Most auction approaches assume that bidding agents must be available to take on a new task when they submit or at least commit to a bid. This works well for pre-planning, for example, before a group of robots takes on a mission with multiple tasks, as the robots have not yet been assigned to any tasks. However, once a mission has begun, it is difficult to(More)
The potential of human computation may be stymied by a curious phenomenon that as the size of a group of collaborators increases, the efficiency of the group typically decreases. The study described in this paper tests our hypothesis that communication mechanisms are key to unlocking collaborative potential. In particular, we sought to evaluate whether a(More)
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