of problems for which it is best suited. This paper undertakes to present the major ideas and findings to date, and to indicate challenges for future research. Part I of this study indicates the basic principles, ranging from the short-term memory process at the core of the search to the intermediate and long

F or good reasons, economists have had a long-standing preference for studying peoples' revealed preferences; that is, looking at individuals' actual choices and decisions rather than their stated intentions or subjective reports of likes and dislikes. Yet people often make choices

Structural Health Management (SHM) will be of critical importance to provide the safety, reliability and affordability necessary for the future long duration space missions described in America’s Vision for Space Exploration. Long duration missions to the Moon, Mars and beyond cannot

Clinical laboratory diagnostic capabilities are needed to guide health and medical care of astronauts during long-duration space missions. Clinical laboratory diagnostics, as defined for medical care on Earth, offers a model for space capabilities. Interpretation of laboratory results for health

For long duration, manned exploration to be cost-effective, it is necessary to automate routine manual operations. To enable such automated control, activity plans must coordinate the activities of the crew with other automated “agents ” including robots, life support systems, and vehicle systems

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significant step toward enabling this future. This architecture addresses the unique characteristics of the spacecraft domain that require highly reliable autonomous operations over long periods of time with tight deadlines, resource constraints, and concurrent activity among tightly coupled subsystems

While expansion of space industry engineering standards over any human factors interface, except the human-technology interface, is a still a relatively new topic (Dudley-Rowley & Bishop, 2002), even rarer still is the consideration of the latent challenges of long-duration space missions. A

for learning sequences is to use a finite-state automaton (FSA). However, previous research seemed to indicate that FSA-learning is computationally expensive, that it cannot be completely automated, or that the space usage of the FSA may be excessive. We present a new approach in this paper that overcomes

Abstract. Closely spaced satellite altimeter profiles collecte during the Geosat Geodetic Mission (-6 km) and the ERS 1 Geodetic Phase (8 km) are easily converted to grids of vertical gravity gradient and gravity anomaly. The long-wavelength radial orbit error is suppressed below the noise level