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Human team members show a remarkable ability to infer the state of their partners and anticipate their needs and actions. Prior research demonstrates that an artificial system can make some predictions accurately concerning artificial agents. This study investigated whether an artificial system could generate a robust Theory of Mind of human teammates. An urban search and rescue (USAR) task environment was developed to elicit human teamwork and evaluate inference and prediction about team members by software agents and humans. The task varied team members’ roles and skills, types of task synchronization and interdependence, task risk and reward, completeness of mission planning, and information asymmetry. The task was implemented in MinecraftTM and applied in a study of 64 teams, each with three remotely distributed members. An evaluation of six Artificial Social Intelligences (ASI) and several human observers addressed the accuracy with which each predicted team performance, inferred experimentally manipulated knowledge of team members, and predicted member actions. All agents performed above chance; humans slightly outperformed ASI agents on some tasks and significantly outperformed ASI agents on others; no one ASI agent reliably outperformed the others; and the accuracy of ASI agents and human observers improved rapidly though modestly during the brief trials.
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In arid environments such as Arizona, agricultural producers are burdened by constraints placed on them by inhospitable weather and limited access to water and fertile soil when attempting to grow produce. Farms in the arid Southwest often have to build greenhouses to overcome such constraints; however, such greenhouses may be relatively space, water, and pesticide intensive and often have demanding maintenance needs and overhead costs. In addition, many current agricultural practices exhaust land resources disparagingly, leading to irreversible environmental degradation. In an effort to improve agricultural production for those limited by weather and resource constraints while simultaneously increasing sustainability in land, resource and pesticide use, we have created Valleyponics, a hydroponic growth services company centered around creating a minimal farming footprint. The company uses a consultative services approach, leveraging NASA Veggie Growth System Technology to provide solutions to large businesses by automating their agricultural production processes and minimizing resource use year-round. Valleyponics aims to cultivate consultative partnerships which will allow our clients, their communities, and the environment to flourish.