Multiagent Plan Execution and Work Practice: Modeling Plans and Practices Onboard the ISS

Numerous interdependent and uncertain constraints affect plan execution onboard a space ship. Plans are often invalid as they are being executed in the real world. Human work practices partly develop to deal with these realities. However, practices are difficult to study and represent within traditional planning tools. We discuss how modeling the work practices of the ISS Crew is used to develop a plan execution method that can deal with real world situations onboard the ISS. Brahms—a multiagent activity-based language—is used to model situated action and plan execution of human activities in practice.

[1]  Lucy Suchman.  Plans and situated actions: the problem of human-machine communication , 1987 .

[2]  Allen Newell,et al.  SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..

[3]  Edmund H. Durfee,et al.  Coordination of distributed problem solvers , 1988 .

[4]  R. A. Brooks,et al.  Intelligence without Representation , 1991, Artif. Intell..

[5]  Yoav Shoham,et al.  Agent-Oriented Programming , 1992, Artif. Intell..

[6]  Cristiano Castelfranchi,et al.  Guarantees for Autonomy in Cognitive Agent Architecture , 1995, ECAI Workshop on Agent Theories, Architectures, and Languages.

[7]  Michael Wooldridge,et al.  Intelligent agents: theory and practice The Knowledge Engineering Review , 1995 .

[8]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[9]  W. Clancey.  The conceptual nature of knowledge, situations, and activity , 1997 .

[10]  C. Lebiere,et al.  The Atomic Components of Thought , 1998 .

[11]  Maarten Sierhuis,et al.  Brahms: simulating practice for work systems design , 1998, Int. J. Hum. Comput. Stud..

[12]  Michael Luck,et al.  From definition to deployment: What next for agent-based systems? , 1999, The Knowledge Engineering Review.

[13]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[14]  Sarit Kraus,et al.  Planning and Acting Together , 1999, AI Mag..

[15]  Michael Luck,et al.  Formal Agent Development: Framework to System , 2000, FAABS.

[16]  William J. Clancey,et al.  Human-Centered Design for the Personal Satellite Assistant , 2000 .

[17]  J. Bradshaw,et al.  Adjustable Autonomy and Teamwork for the Personal Satellite Assistant , 2001 .

[18]  Robert O. Ambrose,et al.  An Experimental Investigation of Dextrous Robots Using EVA Tools and Interfaces , 2001 .

[19]  Maarten Sierhuis,et al.  Modeling and simulating work practice : BRAHMS: a multiagent modeling and simulation language for work system analysis and design , 2001 .

[20]  Edmund H. Durfee,et al.  Distributed Problem Solving and Planning , 2001, EASSS.

[21]  William J. Clancey,et al.  Simulating activities: Relating motives, deliberation, and attentive coordination , 2002, Cognitive Systems Research.

[22]  Maarten Sierhuis,et al.  Agent-Based Modeling of Collaboration and Work Practices Onboard the International Space Station , 2002, SSRN Electronic Journal.

[23]  Weixiong Zhang,et al.  Towards Flexible Teamwork in Persistent Teams: Extended Report , 2000, Autonomous Agents and Multi-Agent Systems.

[24]  Dirk Helbing,et al.  Agent-Based Modeling , 2012 .