Abstract
AbstractThis paper proposes and evaluates a new airline disruption management strategy using multi-agent system modelling, simulation, and verification. This new strategy is based on a multi-agent negotiation protocol and is compared with three airline strategies based on established industry practices. The application concerns Airline Operations Control whose core functionality is disruption management. To evaluate the new strategy, a rule-based multi-agent system model of the AOC and crew processes has been developed. This model is used to assess the effects of multi-agent negotiation on airline performance in the context of a challenging disruption scenario. For the specific scenario considered, the multi-agent negotiation strategy outperforms the established strategies when the agents involved in the negotiation are experts. Another important contribution is that the paper presents a logic-based ontology used for formal modelling and analysis of AOC workflows.
Publisher
Springer Science and Business Media LLC
Subject
Renewable Energy, Sustainability and the Environment,Artificial Intelligence,Computer Science Applications,Computer Networks and Communications
Reference48 articles.
1. Bouarfa S, Blom HAP, Curran R, Everdij MHC (2015) Agent-based modelling and simulation of emergent behavior in air transportation. Springer, Berlin
2. Blom, H.A.P., Bouarfa, S. (2016). Resilience. In Complexity Science in Air Traffic Management. A. Cook and D. Rivas (Eds.), Routledge, England.
3. Marsa-Maestrea I, Klein M, Jonker CM, Aydoğan R (2014) From problems to protocols: towards a negotiation handbook. Decis Support Syst Electron Commer 60:39–54
4. Baarslag T, Gerding E, AydoğanR, Schraefel MC (2015) Optimal negotiation decision functions in time-sensitive domains. In: IEEE/WIC/ACM International joint conferences on web intelligence (WI) and intelligent agent technologies (IAT), pp 190–197.
5. Baarslag T, Hendrikx MJC, Hindriks KV, Jonker CM (2016) A survey of opponent modeling techniques in automated negotiation. In: AAMAS2016: 2016 international conference on autonomous agents and multi-agent systems, Singapore, pp 575–576
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献