2015
DOI: 10.1007/978-3-319-27343-3_6
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A Multiagent Systems Perspective on Industry 4.0 Supply Networks

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Cited by 12 publications
(3 citation statements)
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“…More extensive and developed examples can be found in (Wilensky and Rand, 2015). However, as concluded in (Rabuzin et al, 2006), often one agent is not enough to solve any problem and therefore more agents may be needed. In addition, a group of agents can provide interesting features, as they can achieve better results by performing parallel processing that increases speed and performance, greater system stability can be achieved, and flexibility and reusability can be improved.…”
Section: Agent-based Systemsmentioning
confidence: 99%
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“…More extensive and developed examples can be found in (Wilensky and Rand, 2015). However, as concluded in (Rabuzin et al, 2006), often one agent is not enough to solve any problem and therefore more agents may be needed. In addition, a group of agents can provide interesting features, as they can achieve better results by performing parallel processing that increases speed and performance, greater system stability can be achieved, and flexibility and reusability can be improved.…”
Section: Agent-based Systemsmentioning
confidence: 99%
“…In (Premm and Kirn, 2015), the organisation is described as a useful metaphor for describing, studying and designing distributed software systems; and in (Dignum, 2009) it is stated that the organisation of agents can be considered from two different points of view: as a process and as an entity in itself: in the first one, organisation is the process of organisation of individual agents and implies limitations in the allowed interactions of the agents. In the second, the organisation is considered as an entity with its own goals and is represented as a group of agents, although it is not exactly the same.…”
Section: Mas Organisationmentioning
confidence: 99%
“…By checking the manoeuvrability impact of any aircraft that could be affected by a pairwise conflict resolution, it is possible to predict an operationally emergent behaviour of the surrounding traffic and identify a subset of the trajectory amendments that will not cause a negative domino effect with neighbouring aircraft. At a technological level, the proposed ecosystem concept ( 12 ) relies on multi-agent technology ( 13 , 14 ) , in which agents represent a set of aircraft inside a computed airspace volume, with a trajectory-amendment decision-making capability, whose trajectories are causally involved in the safety event. Each time a conflict is detected, an aerial ecosystem is initialised with the aircraft involved in a pairwise conflict, and it engages all the surrounding aircraft whose trajectory segments could be affected by a trajectory amendment of a conflict aircraft during the LAT.…”
Section: Introductionmentioning
confidence: 99%