Auto-Adaptation of Open MAS through On-Line Modifications of the Environment

  • Roberto Centeno
  • Holger Billhardt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7068)


This paper proposes a mechanism that is able to encourage agents, participating in an open multiagent system, to follow a desirable behaviour, by introducing modifications in the environment. This mechanism is deployed by using an infrastructure based on institutional agents called incentivators. Incentivators are in charge of discovering which changes of environmental attributes (incentives) have some influence on agents’ preferences. Furthermore, they learn the joint actions that should be promoted in order to improve the system’s utility and applies the identified incentives to induce the desired agent behaviours.


Incentives Regulation Adaptation Organisation 


  1. 1.
    Centeno, R., Billhardt, H.: Using incentive mechanisms for an adaptive regulation of open multi-agent systems. In: Proc. IJCAI 2011 (to appear, 2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Roberto Centeno
    • 1
  • Holger Billhardt
    • 2
  1. 1.Departamento de Lenguajes y Sistemas InformáticosUniversidad Nacional de Educación a DistanciaMadridSpain
  2. 2.Centre for Intelligent Information Technology (CETINIA)University Rey Juan CarlosMadridSpain

Personalised recommendations