Proceedings of the 10th International Conference on Agents and Artificial Intelligence 2018
DOI: 10.5220/0006661602900296
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A Normative Agent-based Model for Sharing Data in Secure Trustworthy Digital Market Places

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Cited by 4 publications
(4 citation statements)
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“…Data sharing and digital collaboration among businesses and scientists will become even more crucial in the coming years, thanks to their potential for increased efficiency, lower costs and lower pressure on infrastructure and environment [6]. These future data infrastructures will support data sharing among distributed partners; they will need to be easy to deploy, robust and easily adjustable to the participant needs.…”
Section: Digital Data Marketplaces and Containersmentioning
confidence: 99%
See 1 more Smart Citation
“…Data sharing and digital collaboration among businesses and scientists will become even more crucial in the coming years, thanks to their potential for increased efficiency, lower costs and lower pressure on infrastructure and environment [6]. These future data infrastructures will support data sharing among distributed partners; they will need to be easy to deploy, robust and easily adjustable to the participant needs.…”
Section: Digital Data Marketplaces and Containersmentioning
confidence: 99%
“…8, the topology consisted of two VMs operating as container hosts and an additional one running as a routeserver. Each container host was running a BGP daemon (bagpipebgp 6 ) peering with a route-server (GoBGP 7 ). Once a container was started, bagpipe-bgp created EVPN route Type-2 (Listing 3) containing its IP and MAC addresses.…”
Section: Evpn Test Environmentmentioning
confidence: 99%
“…In contrast we use AORTA, which has also been implemented in Jason [12], and GAMA, which is an agent-based simulation platform. There are also other methods to include normative reasoning in agents which do not incorporate an organization meta-model [13][14][15].…”
Section: Related Workmentioning
confidence: 99%
“…Similarly, the BOID architecture [9,25] proposes a belief, obligation, intention and desire architecture with a feedback loop to consider the effects of actions before committing to them. These studies (and many others, e.g., [12,14,32]) propose extensions to the BDI architecture to add (regulative) norms as part of the agents' mind and to solve conflicts via pre-defined rules. The main issue with these works is that putting all relevant normative sources (and logical conflict resolution rules) within the agent is typically not feasible in a real system with complex interactions between norms, actions, and their possible effects on different stakeholders.…”
Section: Introductionmentioning
confidence: 99%