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The AORTA Architecture: Integrating Organizational Reasoning in Jason

  • Andreas Schmidt Jensen
  • Virginia Dignum
  • Jørgen Villadsen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8758)

Abstract

Open systems are characterized by a diversity of heterogeneous and autonomous agents that act according to private goals, and with a behavior that is hard to predict. They can be regulated through organizations similar to human organizations, which regulate the agents’ behavior space and describe the expected behavior of the agents. Agents need to be able to reason about the regulations, so that they can act within the expected boundaries and work towards the objectives of the organization. In this paper, we describe the AORTA (Adding Organizational Reasoning to Agents) architecture for making agents organization-aware. It is designed such that it provides organizational reasoning capabilities to agents implemented in existing agent programming languages without being tied to a specific organizational model. We show how it can be integrated in the Jason agent programming language, and discuss how the agents can coordinate their organizational tasks using AORTA.

Keywords

Multiagent System Belief Base Action Rule Organizational Objective Agent Platform 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Andreas Schmidt Jensen
    • 1
  • Virginia Dignum
    • 2
  • Jørgen Villadsen
    • 1
  1. 1.Technical University of DenmarkKongens LyngbyDenmark
  2. 2.Delft University of TechnologyDelftThe Netherlands

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