TacAir-Soar is an intelligent, rule-based system that generates believable “human-like” behavior for large scale, distributed military simulations. The innovation of the application is primarily a matter of scale and integration. The system is capable of executing most of the airborne missions that the United States military flies in fixed-wing aircraft. It accomplishes this by integrating a wi...

As computer games become more complex and consumers demand more sophisticated computer controlled opponents, game developers are required to place a greater emphasis on the artificial intelligence aspects of their games. Our experience developing intelligent air combat agents for DARPA (Laird and Jones 1998, Jones at al. 1999) has suggested a number of areas of AI research that are applicable t...

ABSTRACT New observational data obtained during the 2018, 2019, and 2020 speckle runs with 4.1-m Southern Astrophysical Research (SOAR) telescope located at Cerro Pachón (Chile) allowed us to recalculate orbits of visual binaries: WDS 00277-1625 (YR 1 Aa,Ab), 00462-2214 (RST4155), 03124-4425 (JC 8), 07427-3510 (HDS 1091), 10093+2020 (A2145), 10116+1321 (HU 874 AB), 10217-0946 (BU 25), 11585-235...

On 2019 August 14 at 21:10:39 UTC, the LIGO/Virgo Collaboration (LVC) detected a possible neutron star-black hole merger (NSBH), first ever identified. An extensive search for an optical counterpart of this event, designated GW190814, was undertaken using Dark Energy Camera (DECam) on 4m Victor M. Blanco Telescope Cerro Tololo Inter-American Observatory. Target Opportunity interrupts were issue...

Birds and gliders exploit warm, rising atmospheric currents (thermals) to reach heights comparable to low-lying clouds with a reduced expenditure of energy. This strategy of flight (thermal soaring) is frequently used by migratory birds. Soaring provides a remarkable instance of complex decision making in biology and requires a long-term strategy to effectively use the ascending thermals. Furth...

This paper discusses the integration of two different machine learning approaches to modeling language, NL-Soar and analogical modeling (AM). The resulting hybrid system is capable of functionality that is not possible when using only one of the systems in isolation. After a brief introduction of each system, an explanation is given of how AM is used to provide information useful to NL-Soar for...