Title
Trust-Based Scenarios - Predicting Future Agent Behavior in Open Self-organizing Systems.
Abstract
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.
Year
DOI
Venue
2013
10.1007/978-3-642-54140-7_8
Lecture Notes in Computer Science
Keywords
Field
DocType
Scenarios,Trust,Robustness,Resilience,Uncertainty,Self-Organizing Systems,Adaptive Systems,Open Multi-Agent Systems
Psychological resilience,Expectancy theory,Distributed power,Adaptive system,Computer science,Self-organization,Robustness (computer science),Agent behavior,Stochastic modelling,Distributed computing
Conference
Volume
ISSN
Citations 
8221
0302-9743
3
PageRank 
References 
Authors
0.43
9
4
Name
Order
Citations
PageRank
Gerrit Anders18110.20
Florian Siefert2747.74
Jan-Philipp Steghöfer317822.88
Wolfgang Reif4677.57