Provision of robust behaviour in teams of UAVs : a conceptual model

Current approaches for the provision of autonomous team behaviour assume that team members are able to communicate with each other whenever they wish. This is an assumption that does not always apply in the UAV domain. Environmental conditions, such as weather or terrain can invalidate this assumption, as can damage to the UAV itself. Also mission requirements may mandate that there are periods when no communication is to occur. The potential inability to communicate within the team at critical times leads to a reconsideration of the underlying team architecture and of the way in which behaviours are modelled and executed. It also emphasizes the need for the ability to dynamically reassign roles within the team when required. In this paper, we present a conceptual model to underpin the provision of robust team behaviour in the presence of such perturbations. The conceptual model extends an existing teams infrastructure (JACK Teams), which in turn is based on the BDI model of agency.

[1]  Martyn Fletcher,et al.  Implementing Industrial Multi-agent Systems Using JACK , 2003, PROMAS.

[2]  Martyn Fletcher,et al.  Implementing Industrial Multi-agent Systems Using JACKTM , .

[3]  Simon Goss,et al.  Interchanging Agents and Humans in Military Simulation , 2002, AI Mag..

[4]  S.J.J. Smith,et al.  Empirical Methods for Artificial Intelligence , 1995 .

[5]  James F. Allen Maintaining knowledge about temporal intervals , 1983, CACM.

[6]  M.P. Georgeff,et al.  Procedural knowledge , 1986, Proceedings of the IEEE.

[7]  Anand S. Rao,et al.  BDI Agents: From Theory to Practice , 1995, ICMAS.

[8]  Michael Wooldridge,et al.  A Formal Specification of dMARS , 1997, ATAL.

[9]  Andrew Lucas,et al.  Human Variability in Computer Generated Forces – Application of a Cognitive Architecture for Intelli gent Agents , 2005 .

[10]  Samin Karim,et al.  Experiences with the design and implementation of an agent-based autonomous UAV controller , 2005, AAMAS '05.

[11]  T. Shallice What ghost in the machine? , 1992, Nature.

[12]  Winfried Lamersdorf,et al.  A flexible BDI architecture supporting extensibility , 2005, IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[13]  Michael E. Bratman,et al.  Faces of Intention: Selected Essays on Intention and Agency , 1999 .

[14]  Michael Wooldridge,et al.  Reasoning about rational agents , 2000, Intelligent robots and autonomous agents.

[15]  D. McFarlane,et al.  A team-based holonic approach to robotic assembly cell control , 2006, J. Netw. Comput. Appl..

[16]  Lakhmi C. Jain,et al.  Reasoning About Time in a BDI Architecture , 2005, KES.

[17]  Edgar A. Whitley,et al.  The Construction of Social Reality , 1999 .

[18]  Tamura Shinsuke,et al.  HMS Development and Implementation Environments , 2003 .

[19]  Nicolas Lhuillier,et al.  FOUNDATION FOR INTELLIGENT PHYSICAL AGENTS , 2003 .

[20]  Sarit Kraus,et al.  Collaborative Plans for Complex Group Action , 1996, Artif. Intell..