A Framework for a Dynamic Inter-connection of Collaborating Agents with Multi-layered Application Abstraction Based on a Software-Bus System

Brehm, Robert; Redder, Mareike; Flaegel, Gordon; Menz, Jendrik; Bruce-Boye, Cecil

doi:10.1007/978-3-319-92028-3_15

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…The names are reduced replacing "agent" word by the "at" sign (@). References of the works are: Badr [58]; Brehm et al [59]; Cruz et al [31]; Fischer [32]; Folmer [48]; Legat [53]; Lüder et al [16]; M. Hoffmann [41]; Nieße A. [35]; P. Hofmann [52]; Pech [42]; Rauscher [51]; Regulin et al [37]; Rehberger [19]; Ryashentseva [38]; Schütz [28]; Theiss [39]; Ulewicz [7]; Vogel-Heuser et al [40] and Wannagat [27] the bottom of the diabolo.…”

Section: Automation Levels and Features Of Sub-agents Patternsmentioning

confidence: 99%

Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns

Salazar

Ryashentseva

Lüder

et al. 2019

Int J Adv Manuf Technol

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The growing complexity of production systems requires appropriate control architectures that allow flexible adaptation during their runtime. Although cyber-physical production systems (CPPS) provide the means to cope with complexity and flexibility, the migration with existing control systems is still a challenge. The term CPPS denotes a mechatronic system (physical world) coupled with software entities and digital information (cyber part), both enabling the smart factory concept for the Industry 4.0 (I4.0) paradigm. In this regard, design patterns could help developers to build their software with common solutions for manufacturing control derived from experiences. We provide a description and comparison of the already existing multi-agent systems (MAS) design patterns, which were collected and classified by introducing two classification criteria to support MAS developers. The applicability of these criteria is shown in the case of specific example architectures from the lower and higher control levels. The authors, together with experts from the German Agent Systems committee FA 5.15, gathered more than twenty MAS patterns, evaluated, and compared four selected patterns with the presented criteria and terminology. The main contribution is a CPPS architecture that fulfills requirements related to the era of smart factories, as well as the Reference Architectural Model I4.0 (RAMI 4.0). The conclusions indicate that agent-based patterns greatly benefit the CPPS design. In addition, it is shown that manufacturing based on MAS is a good way to address complex requests of the CPPS development.

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