A5034627279- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
- Canadian Identity and History
- Political Systems and Governance
- Robotic Path Planning Algorithms
- American Constitutional Law and Politics
- Semantic Web and Ontologies
- Constraint Satisfaction and Optimization
- Distributed and Parallel Computing Systems
- Model-Driven Software Engineering Techniques
- Wine Industry and Tourism
- Astro and Planetary Science
- Multi-Agent Systems and Negotiation
- Planetary Science and Exploration
- Air Traffic Management and Optimization
- Formal Methods in Verification
- Advanced Data Storage Technologies
- Canadian Policy and Governance
- Geophysics and Gravity Measurements
- Bayesian Modeling and Causal Inference
- Reinforcement Learning in Robotics
- Spacecraft Dynamics and Control
- Human-Automation Interaction and Safety
- Optimization and Search Problems
- Software Engineering Research
Ames Research Center
2009-2020
University of Washington
1998-2020
European Organization for Nuclear Research
2007-2019
Arizona State University
2019
Massachusetts Institute of Technology
2013-2016
Intelligent Systems Research (United States)
2016
University of Southern California
2012
Southern California University for Professional Studies
2012
Copenhagen Business School
1997-2011
Babcock Power (United Kingdom)
2009-2010
Manufacturing applicants' perceptions of two selection devices were examined. In Study 1, applicants ( n = 3,984) completed cognitive ability tests and a survey reactions. 2, subset from 1 194) participated in an assessment center the survey. Applicants reacted favorably to procedures but viewed as more face valid than tests. who perceived techniques also satisfied with process, job, organization. Although related job acceptance intentions, liking organization explained largest unique...
Planning research in Artificial Intelligence (AI) has often focused on problems where there are cascading levels of action choice and complex interactions between actions. In contrast, scheduling much larger is little choice, but the resulting ordering problem hard. this paper, we give an overview AI planning techniques, focusing their similarities, differences, limitations. We also argue that many difficult practical lie somewhere scheduling, neither area right set tools for solving these...
Some recent works in conditional planning have proposed reachability heuristics to improve planner scalability, but many lack a formal description of the properties their distance estimates. To place previous work context and extend on for planning, we provide basis estimates between belief states. We give definition states that relies aggregating underlying state measures. several techniques aggregate distances associated properties. Many existing exhibit subset properties, order...
There has been significant interest of late in generating behavior agents that is interpretable to the human (observer) loop. However, work this area typically lacked coherence on topic, with proposed solutions for “explicable”, “legible”, “predictable” and “transparent” planning overlapping, sometimes conflicting, semantics all aimed at some notion understanding what intentions observer will ascribe an agent by observing its behavior. This also true recent works “security” “privacy” plans...
Abstract Shoppers in a supermarket were approached with request to sample new food product. Half the shoppers touched during and other half not. Touch increased probability of both trying buying The touch no-touch groups did not differ their taste rating sampling or product was related gender shopper experimenter.
Abstract A new method of determining the thickness mare basalts on Moon is introduced that made possible by high‐resolution gravity data acquired from NASA's Gravity Recovery and Interior Laboratory (GRAIL) mission. Using a localized multitaper spherical‐harmonic analysis, an effective density spectrum calculated provides estimate average crustal as function spherical harmonic degree. By comparing observed with one generated theoretical model, can be constrained. We assume grain known remote...
We studied the transparency of automated tools used during emergency operations in commercial aviation. Transparency (operationalized as increasing levels explanation associated with an tool recommendation) was manipulated to evaluate how transparent interfaces influence pilot trust landing planning aid. conducted a low-fidelity study which pilots interacted simulated recommendations from NASA’s Emergency Landing Planner (ELP) that varied their transparency. Results indicated ELP influenced...