Deliberation in a metadata-based modeling and simulation environment for inter-organizational networks

  • Authors:
  • Günter Gans;Matthias Jarke;Gerhard Lakemeyer;Dominik Schmitz

  • Affiliations:
  • RWTH Aachen, Informatik V, Ahornstr. 55, 52056 Aachen, Germany;RWTH Aachen, Informatik V, Ahornstr. 55, 52056 Aachen, Germany and Fraunhofer FIT, Schloss Birlinghoven, 53754 Sankt Augustin, Germany;RWTH Aachen, Informatik V, Ahornstr. 55, 52056 Aachen, Germany;RWTH Aachen, Informatik V, Ahornstr. 55, 52056 Aachen, Germany

  • Venue:
  • Information Systems - Special issue: The 15th international conference on advanced information systems engineering (CAiSE 2003)
  • Year:
  • 2005

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Abstract

In the emerging field of database centric business process management, inter-organizational networks of people, information and communication systems are often described by the interplay between individual goals and actions and the strategic dependencies among individuals and subgroups. Our research aims at improving requirements engineering for such networks by not just representing these goals and dependencies statically, but also by studying the dynamic interactions between both. In previous work, we proposed the prototype environment SNet for the representation and dynamic simulation of agent-based designs for inter-organizational networks. A key feature of SNet was the automatic translation of extended i^* models into the action language ConGolog. While this allowed the simulation of agent networks specified in i^*, the resulting agents were purely reactive. In this paper, we explicitly incorporate deliberation into the agent design of SNet. At the level of i^*, deliberation is represented in terms of goals which are satisfiable by different tasks or agents. Utilities are modeled, in part, using the existing concept of softgoals, which are given a quantitative interpretation. At the level of ConGolog, decision-theoretic features are built into the interpreter, which drives the simulations, and the process of delegating tasks to other agents is explicitly represented.