AORTA: Adding Organizational Reasoning to Agents: Extended abstract

Andreas Schmidt Jensen, Virginia Dignum

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

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.
This extended abstract introduces AORTA, a component that can be integrated into agents’ reasoning mechanism, allowing them to reason about (and act upon) regulations specified by an organizational model using simple reasoning rules. The added value is that the organizational model is independent of that of the agents, and that the approach is not tied to a specific organizational model.
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014)
EditorsAlessio Lomuscio, Paul Scerri, Ana Bazzan, Michael Huhns
PublisherAssociation for Computing Machinery
Publication date2014
Pages1493-1494
ISBN (Electronic)978-1-4503-2738-1
Publication statusPublished - 2014
Event13th International Conference on Autonomous Agents and Multiagent Systems - Paris, France
Duration: 5 May 20149 May 2014
Conference number: 13

Conference

Conference13th International Conference on Autonomous Agents and Multiagent Systems
Number13
CountryFrance
CityParis
Period05/05/201409/05/2014

Cite this

Jensen, A. S., & Dignum, V. (2014). AORTA: Adding Organizational Reasoning to Agents: Extended abstract. In A. Lomuscio, P. Scerri, A. Bazzan, & M. Huhns (Eds.), Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014) (pp. 1493-1494). Association for Computing Machinery.