Kshanti Greene

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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)
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