The Social Concept of Trust as Enabler for Robustness in Open Self-Organising Systems

Anders, Gerrit; Seebach, Hella; Steghöfer, Jan-Philipp; Reif, Wolfgang; André, Elisabeth; Hähner, Jörg; Müller-Schloer, Christian; Ungerer, Theo

doi:10.1007/978-3-319-29201-4_1

Cited by 5 publications

(6 citation statements)

References 63 publications

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“…Depending on its composition, its local demand is either positive or negative. 5 To avoid affecting other parts of the system, each AVPP's dispatchable power plants have to reactively compensate for deviations resulting from fluctuations of the uncertain local demand.…”

Section: Fig 22mentioning

confidence: 99%

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Specification and Design of Trust-Based Open Self-Organising Systems

Anders

Siefert

Schiendorfer

et al. 2016

Trustworthy Open Self-Organising Systems

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In open multi-agent systems, we can make only little assumptions about the system's scale, the behaviour of participating agents, and its environment. Especially with regard to mission-critical systems, the ability to deal with a large number of heterogeneous agents that are exposed to an uncertain environment becomes a major concern: Because failures can have massive consequences for people, industries, and public services, it is of utmost importance that such systems achieve their goals under all circumstances. A prominent example are power management systems whose paramount goal is to balance production and consumption. In this context, we tackle challenges comprising how to specify and design these systems to allow for their efficient and robust operation. Among other things, we introduce constraint-based specification techniques to address the system's heterogeneity and show trust models that allow to measure, anticipate, and deal with uncertainties. On this basis, we present algorithms for self-organisation and self-optimisation that enable the formation of scalable system structures at runtime and allow for efficient and robust resource allocation under adverse conditions. Throughout the chapter, the problem of balancing production and consumption in decentralised autonomous power management systems serves as a case study.

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Section: Fig 22mentioning

confidence: 99%

“…2.5). In all these aspects, the concept of computational trust [5] serves as a common denominator to quantify and anticipate uncertainties. Throughout the chapter, we illustrate our findings by means of a case study from the field of decentralised autonomous power management systems.…”

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confidence: 99%

Specification and Design of Trust-Based Open Self-Organising Systems

Anders

Siefert

Schiendorfer

et al. 2016

Trustworthy Open Self-Organising Systems

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“…In particular, the entities have to take over the responsibility to find and interact with suitable others as they are completely autonomous and may belong to different authorities. They have to find cooperation partners that reach a certain amount of efficiency and share the intention of being benevolent towards a common system goal [10]. To support this process, malevolent or inefficient entities have to be isolated.…”

Section: Trust In Self-organising Systemsmentioning

confidence: 99%

“…To support this process, malevolent or inefficient entities have to be isolated. This can be done via computational trust which serves as a framework for entities to select and interact with others [10]. A standard approach to quantify trust for the system and the entities is CF.…”

Section: Trust In Self-organising Systemsmentioning

confidence: 99%

Combining SimTrust and Weighted Simple Exponential Smoothing

Latta

2021

Preprint

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In the domain of Autonomic and Organic Computing, the entities of a distributed system are variable as well as the efficiency and the intention of their work. Therefore, a scalable mechanism to incentivise/sanction entities which contribute towards/against the system goal is needed. Trust is a suited metric to find benevolent entities. In this paper, we focus for one on the SimTrust model which introduces trust on entities when they share interest and opinions using tagging information. The second model is the Weighted Simple Exponential Smoothing Trust metric (WSES) which functions on explicitly rated items. WSES follows two basic rules which ensure a logic rating mechanism. When putting these two models in context, SimTrust has advantages on items that have not been rated yet or can not easily be rated. WSES is a trust metric which returns good results on explicit rank values. We propose concepts on combining both approaches and state in which cases they are incompatible.

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“…Despite this limitation, prominent trust and reputation models still rely on techniques such as sliding windows and forgetting factors (Huynh & Jennings, 2004;Jøsang & Ismail, 2002;Liang & Shi, 2005;Regan et al, 2006;Teacy et al, 2006). While other literature mentions the importance of coping with dynamic behaviour, it remains an open challenge (Anders et al, 2016).…”

Section: Dynamic Behaviourmentioning

confidence: 99%

Improving trust and reputation assessment with dynamic behaviour

Player

Griffiths

2020

The Knowledge Engineering Review

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Trust between agents in multi-agent systems (MASs) is critical to encourage high levels of cooperation. Existing methods to assess trust and reputation use direct and indirect past experiences about an agent to estimate their future performance; however, these will not always be representative if agents change their behaviour over time. Real-world distributed networks such as online market places, P2P networks, pervasive computing and the Smart Grid can be viewed as MAS. Dynamic agent behaviour in such MAS can arise from seasonal changes, cheaters, supply chain faults, network traffic and many other reasons. However, existing trust and reputation models use limited techniques, such as forgetting factors and sliding windows, to account for dynamic behaviour. In this paper, we propose Reacting and Predicting in Trust and Reputation (RaPTaR), a method to extend existing trust and reputation models to give agents the ability to monitor the output of interactions with a group of agents over time to identify any likely changes in behaviour and adapt accordingly. Additionally, RaPTaR can provide an a priori estimate of trust when there is little or no interaction data (either because an agent is new or because a detected behaviour change suggests recent past experiences are no longer representative). Our results show that RaPTaR has improved performance compared to existing trust and reputation methods when dynamic behaviour causes the ranking of the best agents to interact with to change.

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The Social Concept of Trust as Enabler for Robustness in Open Self-Organising Systems

Cited by 5 publications

References 63 publications

Specification and Design of Trust-Based Open Self-Organising Systems

Specification and Design of Trust-Based Open Self-Organising Systems

Combining SimTrust and Weighted Simple Exponential Smoothing

Improving trust and reputation assessment with dynamic behaviour

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