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To investigate the influence of information about fellow group members in a constrained decision-making context, we develop four two-armed bandit tasks in which subjects freely select one of two options ( or ) and are informed of the resulting reward following each choice. Rewards are determined by the fraction of past choices by two functions (unknown to the subject) which...
Due to the complex and relatively unpredictable nature of human behavior, customer service-based processes such as those featured in call centers, restaurants, and hotels can be challenging to model. The present study provides an example of using established theories of customer behavior, in combination with primary data collection, in a time and cost efficient way to model customer decision-making...
For pragmatic information fusion system design and analysis, the user (commander or operator/analyst) needs information in a timely manner to conduct actionable intelligence. With the development of complex information fusion systems, the user still provides valuable inputs to the information fusion system in contextual reasoning and situation understanding. In this paper, we describe the Cognitive...
Research analysts and decisions makers must find new, more efficient ways to assess world events. Time demands have increasingly exposed limitations in traditional wholly human-based analysis and the capabilities of current HSCB analysis frameworks. Facing such limitations, decision makers seek more automated accessible solutions that combine human HSCB assessment expertise and technology. This paper...
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