Smart Contracts Based on Multi-agent Negotiation

Barbosa, Ricardo; Santos, Ricardo; Nováis, Paulo

doi:10.1007/978-3-030-85710-3_9

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…The same can be said for witness information dimension, where each agent needs to trust the opinion of other agents to even start to formulate their trust values regarding a specific agent that intends to negotiate with. However, some advances have been made in this direction with works trying to offer a solution to the need to trust third entities, by replacing them with more reliable and trustworthy environments [4].…”

Section: Challenges and Open Issues In Modeling Trust In Negotiationmentioning

confidence: 99%

Trust-based Negotiation in Multiagent Systems: A Systematic Review

Barbosa

Santos

Nováis

2023

Communications in Computer and Information Science

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In this work, we conducted a systematic review on trustbased negotiation in Multiagent Systems (MAS), through a bibliometric analysis over the past 25 years of research publications, on three of the most popular scientific databases (Google Scholar, Scopus, and Web of Science). Our analysis reveals that this research topic is regaining interest, after some oscillating years, and the impact of its contributions is equivalent to other equally important research variants like ontology and argumentation (in a negotiation scenario). Discarding the humanto-agent trust challenges, we only focus on agent-to-agent trust concepts, and we performed an analysis of the different types of trust dimensions, using the findings and concerns of past review works, as we identify and select the dimensions that, in our opinion, have the most potential to lead the research advances on the topic of trust in MAS. Furthermore, we discuss the current challenges and open issues associated with those trust dimensions, and how current advancements in the literature could provide insights for the solution of those challenges, or even the finding of new research paths.

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Section: Challenges and Open Issues In Modeling Trust In Negotiationmentioning

confidence: 99%