Dustin Arthur Smith

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In our research on Commonsense reasoning, we have found that an especially important kind of knowledge is knowledge about human goals. Especially when applying Com-monsense reasoning to interface agents, we need to recognize goals from user actions (plan recognition), and generate sequences of actions that implement goals (planning). We also often need to(More)
We present a game-based interface for acquiring common sense knowledge. In addition to being interactive and entertaining, our interface guides the knowledge acquisition process to learn about the most salient characteristics of a particular concept. We use statistical classification methods to discover the most informative characteristics in the Open Mind(More)
• Firewalls remain the forefront defense for computer systems – Inspect packets sent between networks – Provide access control, auditing, and traffic control – Actions performed on packets specified by security policy • Similar to a router, a firewall is a single dedicated machine – Inspecting packets introduces more delay than routing – As high-speed(More)
Planning-based approaches to reference provide a uniform treatment of linguistic decisions, from content selection to lexical choice. In this paper, we show how the issues of lexical ambiguity, vague-ness, unspecific descriptions, ellipsis, and the interaction of subsective modifiers can be expressed using a belief-state planner modified to support(More)
NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information,(More)
On December 2, 2015, a terror attack in the city of San Bernardino, California killed 14 Americans and injured 22 in the deadliest attack on U.S. soil since September 11, 2001. Although emergency personnel and law enforcement officials frequently deal with multi-casualty incidents (MCIs), what occurred that day required an unprecedented response. Most of(More)
A metareasoning problem involves three parts: 1) a set of concrete problem domains; 2) reasoners to reason about the problems; and, 3) metareasoners to reason about the reason-ers. We believe that the metareasoning community would benefit from agreeing on the first two problems. To support this kind of collaboration, we offer an open source 3D sim-ulator(More)