Many AI researchers are today striving to build agent teams for complex, dynamic multi-agent domains, with intended applications in arenas such as education, training, entertainment, information integration, and collective robotics. Unfortunately, uncertainties in these complex, dynamic domains obstruct coherent teamwork. In particular, team members often encounter diiering, incomplete, and pos...

Astronaut Jim Lovell’s words during the Apollo 13 lunar mission, “Houston, we have a problem,” launched a remarkable tale of effective teamwork and creative problem solving by NASA engineers working to try to save the lives of the imperiled crew when two oxygen tanks exploded en route to the moon. Details of the dramatic and successful resolution to the problem became widely known in the motion...

The RoboCup research initiative has established synthetic and robotic soccer as testbeds for pursuing research challenges in Arti cial Intelligence and robotics This extended abstract focuses on teamwork and learning two of the multi agent research challenges highlighted in RoboCup To address the challenge of teamwork we discuss the use of a domain independent explicit model of team work and an...

This paper compliments Hackman‟s (2002) work on the critical conditions for effecting „self-regulated‟ teamwork with an understanding of team psychology. Assuming various structural pre-requisites, we propose that effective teamwork is generated by a social self-identification process, upon which there are „emergent states‟ across affective (commitment, cohesion), motivational (drive to secure ...

A guiding principle of the work of this panel on multinational coalitions is an acknowledgement of the multitude of factors that can affect teamwork under such challenging conditions. Individual differences in cognitive processing is one such factor that the panel has cited as relevant to effective operations of teams in general, and multinational teams, more specifically. The current talk will...

The formal analysis of computational processes is by now a wellestablished field. However, in practical scenarios, the problem of how we can formally verify interactions with humans still remains. In this paper we are concerned with addressing this problem. Our overall goal is to provide formal verification techniques for human-agent teamwork, particularly astronaut-robot teamwork on future spa...

Psychological studies on teamwork have shown that an effective team often can anticipate information needs of teammates based on a shared mental model. Existing multi-agent models for teamwork are limited in their ability to support proactive information exchange among teammates. To address this issue, we have developed and implemented a multi-agent architecture called CAST that simulates teamw...

BACKGROUND Team effectiveness is often explained on the basis of input-process-output (IPO) models. According to these models a relationship between organizational culture (input = I), interprofessional teamwork (process = P) and job satisfaction (output = O) is postulated. The aim of this study was to examine the relationship between these three aspects using structural analysis. METHODS A m...

BACKGROUND Non-technical skills are seen as an important contributor to reducing adverse events and improving medical management in healthcare teams. Previous research on the effectiveness of teams has suggested that shared mental models facilitate coordination and team performance. The purpose of the study was to investigate whether demonstrated teamwork skills and behaviour indicating shared ...

Developing human-centered agent architectures requires the integral consideration of architectural flexibility, teamwork adaptability, and context reasoning capability. With the integration of various forms of team intelligence including shared teamwork process and progress, dynamic context management and information dependency reasoning, and recognition-primed collaborative decision mechanism,...