%0 Conference Proceedings
%T Trust-Based Scenarios – Predicting Future Agent Behavior in Open Self-organizing Systems
%+ University of Augsburg (UNIA)
%A Anders, Gerrit
%A Siefert, Florian
%A Steghöfer, Jan-Philipp
%A Reif, Wolfgang
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 7th International Workshop on Self-Organizing Systems (IWSOS)
%C Palma de Mallorca, Spain
%Y David Hutchison
%Y Takeo Kanade
%Y Madhu Sudan
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Moshe Y. Vardi
%Y Gerhard Weikum
%Y Wilfried Elmenreich
%Y Falko Dressler
%Y Vittorio Loreto
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%Y Bernhard Steffen
%I Springer
%3 Self-Organizing Systems
%V LNCS-8221
%P 90-102
%8 2013-05-09
%D 2013
%R 10.1007/978-3-642-54140-7_8
%K Scenarios
%K Trust
%K Robustness
%K Resilience
%K Uncertainty
%K Self-Organizing Systems
%K Adaptive Systems
%K Open Multi-Agent Systems
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Agents in open self-organizing systems have to cope with a variety of uncertainties. In order to increase their utility and to ensure stable operation of the overall system, they have to capture and adapt to these uncertainties at runtime. This can be achieved by formulating an expectancy of the behavior of others and the environment. Trust has been proposed as a concept for this purpose.In this paper, we present trust-based scenarios as an enhancement of current trust models. Trust-based scenarios represent stochastic models that allow agents to take different possible developments of the environment’s or other agents’ behavior into account. We demonstrate that trust-based scenarios significantly improve the agents’ capability to predict future behavior with a distributed power management application.
%G English
%Z TC 6
%2 https://inria.hal.science/hal-01291502/document
%2 https://inria.hal.science/hal-01291502/file/978-3-642-54140-7_8_Chapter.pdf
%L hal-01291502
%U https://inria.hal.science/hal-01291502
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-LNCS-8221