Teamwork is work done by several members with a crucial role to achieve the general aim of the team members. The team members work with a common objective in mind and that is what defines their general objectives. Co-ordination involves the arrangement of tasks and deploying the resources for each one involved to ensure the common goal is reached. This is the challenging aspect in human-agent robot teamwork. This coordination requires some important aspects like inter-predictability, common ground and direct ability.
In this section, I will look into the policies that enhance easy co-ordination in aspects evolving around the robot and human teams make. The kinds of technologies adopted like the KAoS HART services framework. Some of the policies adopted and the way these work will be looked into, for instance the Runtime Policy Addition and Modification, the acknowledgment and policy deconfliction among others. Some of the aspects here show the kind of mindset that the robots and humans should have which is more about equality between the members.
The plan is quite intriguing as it aims at making the systems which are not social to be more social as they can be able to communicate the completion of the tasks assigned to them. These issues are what arise in co-ordination as some challenges like communication between the team members present themselves. My aim is to know how exactly this aspect is achieved and realize the kinds of solutions put across to enhance coordination. In teams, the main ingredient is co-ordination, but what about a situation like the robots and humans working together? How is co-ordination practically a success among humans and non-humans? This is the issue analyzed in this particular section of my research.
References to be used
Alonso, Eduardo, Nicos Karcanias, and Ali G. Hessami. "Multi-Agent Systems: A new paradigm for Systems of Systems." In ICONS 2013, The Eighth International Conference on Systems, pp. 8-12. 2013.
Chan, Hing Kai, and Sai Ho Chung. "Optimisation approaches for distributed scheduling problems." International Journal of Production Research 51, no. 9 (2013): 2571-2577.
Dragone, Mauro, Rem W. Collier, David Lillis, and Gregory MP O’Hare. "Practical development of hybrid intelligent agent systems with SoSAA." InArtificial Intelligence and Cognitive Science, pp. 51-60. Springer Berlin Heidelberg, 2010.
Kouider, Ahmed, and Brahim Bouzouia. "Multi-agent job shop scheduling system based on co-operative approach of idle time minimisation." International Journal of Production Research 50, no. 2 (2012): 409-424.
Lim, Ming K., Kim Tan, and Stephen CH Leung. "Using a multi-agent system to optimise resource utilisation in multi-site manufacturing facilities." International Journal of Production Research 51, no. 9 (2013): 2620-2638.
Moran, Stuart, Nadia Pantidi, Khaled Bachour, Joel E. Fischer, Martin Flintham, Tom Rodden, Simon Evans, and Simon Johnson. "Team reactions to voiced agent instructions in a pervasive game." In Proceedings of the 2013 international conference on Intelligent user interfaces, pp. 371-382. ACM, 2013.
COLLABORATION BETWEEN AGENTS AND HUMANS
Collaboration is an important aspect in any task or problematic situation that presents itself. The issue of collaboration in the duties assigned to teams involving the humans and the agents is quite a challenge. This section of my research focuses on what the Collaboration Management Agent does and how this effectively solves the aims in the plans to ensure realization of the requisite goals. I research on the advantages of the system and the linkage with the agent.
The issues that I will look into include how and why the CMA achieves these objectives in relation to the agent, the human and the planned tasks. The importance of the CMA is looking into at this point and analyzed. The other issue I will research on includes the characteristics of the collaboration systems and how this contributes to the effectiveness of collaboration between the various systems. Co-ordination involves the arrangement of tasks and deploying the resources for each one involved to ensure the common goal is reached. This is the challenging aspect in human-agent robot teamwork. This coordination requires some important aspects like inter-predictability, common ground and direct ability.
This is an issue that presents itself in the collaboration of these systems. This is an important aspect of the kind of teamwork of involved in the human-agents and how this is achieved. The aspect of collaboration between the team mates is quite crucial as the determination of the aspects involved is quite important and enables a more cohesive team without many obstructions. My research here mainly looks into how collaboration is achieved and the important role it plays in the human-agent teams.
References to be used
Bradshaw, Jeffrey M., Paul Feltovich, and Matthew Johnson. "Human-agent interaction." Handbook of Human-Machine Interaction (2011): 283-302.
Gascueña, José M., and Antonio Fernández-Caballero. "On the use of agent technology in intelligent, multisensory and distributed surveillance." The Knowledge Engineering Review 26, no. 02 (2011): 191-208.
Giannakis, Mihalis, and Michalis Louis. "A multi-agent based framework for supply chain risk management." Journal of Purchasing and Supply Management 17, no. 1 (2011): 23-31.
Shah, Julie, James Wiken, Brian Williams, and Cynthia Breazeal. "Improved human-robot team performance using chaski, a human-inspired plan execution system." In Proceedings of the 6th international conference on Human-robot interaction, pp. 29-36. ACM, 2011.
Stone, Peter, Gal A. Kaminka, Sarit Kraus, and Jeffrey S. Rosenschein. "Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination." InAAAI. 2010.
Weiss, Astrid, Daniela Wurhofer, Michael Lankes, and Manfred Tscheligi. "Autonomous vs. tele-operated: how people perceive human-robot collaboration with hrp-2." In Proceedings of the 4th ACM/IEEE international conference on Human robot interaction, pp. 257-258. ACM, 2009.
HUMAN-AGENT APPLICATIONS IN DIFFERENT SCENARIOS
There are different applications in different situations and practices. One very interesting one involves the entertainment industry. My research focuses on the very intriguing applications of this to solve the problems in everyday life. I choose to focus on this in my last section as it summarizes the whole idea and gives the reader practical examples that apply in our daily lives. The research here gets to be interesting as more insights and better understanding of what the research is all about. This is the peak of the research.
Some of the areas include the movie industry, the museums and galleries, mixed robot-human sport challenges (Mackworth and Fazli) among other numerous applications that have ensured the success of these sectors in real life. In this area, an aspect of adjustable autonomy and the costs involved including the benefits of this are looked into. This area gives an insight in the form of a summary and sums up what exactly the whole research is about. Some practical examples of the human-agent application teams are what the research looks into clearly.
This is the example of what exactly is meant by human-agent teams and how it all works. This gives some real life examples of how it emerges in our everyday life in order to understand the whole essence of the research that I have carried out here. It gives the realization of what truly the research talks and looks into. This is an interesting aspect of the last section as it enables anyone reading the research understand all the issues and aspects involved better.
References to be used
Bradshaw, Jeffrey M., Virginia Dignum, Catholijn Jonker, and Maarten Sierhuis. "Human-agent-robot teamwork." Intelligent Systems, IEEE 27, no. 2 (2012): 8-13.
Johnson, Matthew, Jeffrey M. Bradshaw, Paul J. Feltovich, Catholijn Jonker, Birna van Riemsdijk, and Maarten Sierhuis. "Autonomy and interdependence in human-agent-robot teams." Intelligent Systems, IEEE 27, no. 2 (2012): 43-51.
Johnson, Matthew, Jeffrey M. Bradshaw, Paul J. Feltovich, Robert R. Hoffman, Catholijn Jonker, Birna van Riemsdijk, and Maarten Sierhuis. "Beyond cooperative robotics: The central role of interdependence in coactive design."Intelligent Systems, IEEE 26, no. 3 (2011): 81-88.
Jonker, C., Virginia Dignum, J. M. Bradshaw, and Maarten Sierhuis. "Human-agent-robot teamwork." IEEE Intelligent Systems (2012): 8-13.
Sierhuis, Maarten, Jeffrey M. Bradshaw, Virginia Dignum, and Catholijn Jonker. "Human-Agent-Robot Teamwork." IEEE Intelligent Systems 27, no. 2 (2012): 0008-13.
Stocker, Richard, Louise Dennis, Clare Dixon, and Michael Fisher. "Verifying brahms human-robot teamwork models." In Logics in Artificial Intelligence, pp. 385-397. Springer Berlin Heidelberg, 2012.
