In this paper, we study the well-known team orienteering problem where a fleet of robots collects rewards by visiting locations. Usually, are assumed to be known robots; however, in applications such as environmental monitoring or scene reconstruction, often subjective and specifying them is challenging. We propose framework learn unknown preferences user presenting alternative solutions them, ...

Shared mental models (SMM) and Transactive memory systems (TMS) have been advocated as the main team learning mechanisms. Despite multiple appeals for collaboration, research in both these fields has progressed in parallel and little effort has been made to integrate these theories. The purpose of this study was to test the relationship between SMM and TMS in a field setting and examine their i...

Abstract Immunology is inherently interdisciplinary. Understanding how the immune system functions requires knowledge from several scientific disciplines including molecular biology, cellular genetics, and biochemistry. Furthermore, immunology conceptually complex, requiring identification of a plethora components mastery large volume new vocabulary. These attributes can pose challenges to stud...

A significant body of research identifies a large number of team composition characteristics that affect the success of individuals and teams in cooperative learning and project-based team environments. Controlling these factors when assigning students to teams should result in improved learning experiences. However, it is very difficult for instructors to consider more than a few criteria when...