A Fuzzy Logic Based Policy Negotiation Model

Zhan, Jun; Luo, Xudong; Jiang, Yuncheng; Ma, Wenjun; Cao, Mukun

doi:10.1007/978-3-319-63558-3_7

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…Adabi et al [14] focus on introducing flexibility into the negotiation process by suggesting a protocol to relax the decision to complete a deal in the presence of time pressure that also handles non-reasonable behaviour. Zhan et al [35] use fuzzy reasoning in order to create policies and negotiate between the actors while Lowrance et al [30] offer a structured argument template to support argumentation and negotiation. Finally, two papers highlight the need for improved visualisations that can support multi-criteria decision making, either by compressing data without losing the details needed for analytical purposes [31] or querying conditional preference networks [34].…”

Section: Rqmentioning

confidence: 99%

Systematic literature review on intent‐driven systems

2020

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An intent-driven system is a compositional system of human actors and machine actors. The aim of intent-driven systems is to capture stakeholders' intents and transform these into a form that enables computer processing of the intents. Only then are different machine actors able to negotiate with each other on behalf of their respective stakeholders and their intents, and suggest a mutually beneficial collaboration. The aim is to find existing methods/techniques which could be used as building blocks to construct intent-driven systems. This is used to provide insight into what is needed to enable intent-driven systems with the help of these methods/techniques. As a part of a design science study, a Systematic Literature Review is conducted. The existences of methods/techniques which can be used as building blocks to construct intent-driven systems exist in the literature. How these methods/techniques can interact in order to enable realisations of intent-driven systems is not evident in the existing literature. The synthesis shows a need for further research regarding the semantic interchange of information, actor interaction in intent-driven systems, and the governance of intent-driven systems.

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