Charles L. Ortiz

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traditional approaches to AI planning. Planning and executing the resulting plans in a dynamic environment implies 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 when the situation changes or planned actions(More)
This paper explores the design of rational agent architectures from the perspective of the dynamics of information change. The procedural elements that guide an agent's behavior and that reflect the evolution of pro-attitudes (for example, from desire to intention to plan) are described in terms of McCarthy's notion of a reified mental action. The function(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)
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We describe the use of theories of agent collaboration and human dialogue processing in providing a principled basis for the design of web interfaces to multimedia information stores. The DIAL system, an implementation in the domain of information support for distance learning by students in an introductory programming class, is used to illustrate the(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)
In this paper we investigate methods for measuring the expected utility from communicating information in multi-agent planning and scheduling problems. We consider an environment where human teammates can potentially add information to relax constraint information. As these problems are NP-complete, no polynomial algorithms exist for evaluating the impact(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)
A stratified view of causal reasoning is set forth; one in which the identification of counterfactual dependencies plays an important role in determining what sort of causal connection, if any, exists between two events named by a given pair of partial descriptions. A semantics for temporal counterfactuals in which events are represented at the object level(More)