Charles L. Ortiz

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Complex, real-world domains require rethinking traditional approaches to AI planning. Planning and executing the resulting plans in a dynamic environment requires a continual approach in which planning and execution are interleaved, uncertainty in the current and projected world state is recognized and handled appropriately , and replanning can be performed(More)
A proper characterization of a rational agent's actions involves much more than simply recounting the changes in the world aaected by the agent. It should also include an explanatory account connecting the upshots of an agent's actions with the reasons behind those actions, where those upshots might represent actual changes (either intentional or(More)
We present a system called the Distributed Dispatcher Manager (DDM) for effectively managing very large-scale networks of thousands of sensor agents and thousands of objects. DDM makes use of a hierarchical team organization in which the solution process is distributed into smaller fragments of problems that can be solved partially by simple agents. We(More)
 Abstract. The Winograd Schema Challenge was proposed by Hector Levesque in 2011 as an alternative to the Turing Test. Chief among its features is a simple question format that can span many commonsense knowledge domains. Questions are chosen so that they do not require specialized knoweldge or training, and are easy for humans to answer. This paper(More)
We explore a class of task allocation mechanisms that are incremental and can be tuned to the computational resource limitations of agents. Our focus is on distributed task and resource allocation problems involving coalitions of cooperative agents that must negotiate among themselves on the distribution of tasks. Our emphasis is on the design of mechanisms(More)