Brahms An Agent-Oriented Language for Work Practice Simulation and Multi-Agent Systems Development

Brahms is a multi-agent modeling language for simulating human work practice that emerges from work processes in organizations. The same Brahms language can be used to implement and execute distributed multi-agent systems, based on models of work practice that were first simulated. Brahms demonstrates how a multi-agent belief-desire-intention language, symbolic cognitive modeling, traditional business process modeling, activity-and situated cognition theories are brought together in a coherent approach for analysis and design of organizations and human-centered systems.

[1]  Maarten Sierhuis,et al.  Comparing Route Selection Strategies in Collaborative Traffic Flow Management , 2007 .

[2]  Maarten Sierhuis,et al.  Organization and Work Systems Design and Engineering: From Simulation to Implementation of Multiagent Systems , 2010 .

[3]  Elaine Kant,et al.  Programming expert systems in OPS5 , 1985 .

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

[5]  Michael Wooldridge,et al.  Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology) , 2007 .

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

[7]  Maarten Sierhuis,et al.  Multi-Agent Modeling and Simulation Approach for Design and Analysis of MER Mission Operations , 2005 .

[8]  Maarten Sierhuis,et al.  Multi-agent Simulation to Implementation: A Practical Engineering Methodology for Designing Space Flight Operations , 2008, ESAW.

[9]  Charles L. Forgy,et al.  Rete: A Fast Algorithm for the Many Patterns/Many Objects Match Problem , 1982, Artif. Intell..

[10]  Ayanna M. Howard,et al.  Intelligence For Space Robotics , 2008 .

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

[12]  J. van Leeuwen,et al.  Engineering Societies in the Agents World II , 2001, Lecture Notes in Computer Science.

[13]  K. Konolige.  A deduction model of belief , 1986 .

[14]  L. Vygotsky.  Mind in Society: The Development of Higher Psychological Processes: Harvard University Press , 1978 .

[15]  Maarten Sierhuis.  "It's Not Just Goals All the Way Down" - "It's Activities All the Way Down" , 2006, ESAW.

[16]  A. N. Leont’ev,et al.  Activity, consciousness, and personality , 1978 .

[17]  Maarten Sierhuis,et al.  To BDI, or not to BDI: design choices in an agent-based traffic flow management simulation , 2008, SpringSim '08.

[18]  Maarten Sierhuis,et al.  Automating CapCom Using Mobile Agents and Robotic Assistants , 2005 .

[19]  Guido Wybe Jan Bruinsma,et al.  Exploring protocols for multidisciplinary disaster response using adaptive workflow simulation , 2006 .

[20]  Maarten Sierhuis,et al.  OperA and Brahms: A Symphony? , 2008, AOSE.

[21]  Maarten Sierhuis,et al.  Modeling and Simulation for Mission Operations Work System Design , 2003, J. Manag. Inf. Syst..

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

[23]  Maarten Sierhuis,et al.  Applying multiagent simulation to planetary surface operations , 2000 .

[24]  Maarten van Someren,et al.  Task-Adaptive Information Distribution for Dynamic Collaborative Emergency Response , 2006 .

[25]  Lucy A. Suchman,et al.  Representations of work , 1995, CACM.

[26]  Lucy A. Suchman,et al.  Making work visible , 1995, CACM.

[27]  Maarten Sierhuis,et al.  Agent-based simulation of shuttle mission operations , 2007, SpringSim '07.

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

[29]  William J. Clancey,et al.  Heuristic Classification , 1986, Artif. Intell..