umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Integrating Multi-agent Simulations into Enterprise Application Landscapes
Umeå University, Faculty of Science and Technology, Department of Computing Science. Signavio GmbH, Berlin, Germany. (Interactive and Intelligent Systems Group)ORCID iD: 0000-0002-6458-2252
Umeå University, Faculty of Science and Technology, Department of Computing Science. AI-Robolab/ICR, Computer Science and Communications, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID iD: 0000-0001-7784-6176
2019 (English)In: Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection. PAAMS 2019 / [ed] De La Prieta F. et al., 2019, p. 100-111Conference paper, Published paper (Refereed)
Abstract [en]

To cope with increasingly complex business, political, and economic environments, agent-based simulations (ABS) have been proposed for modeling complex systems such as human societies, transport systems, and markets. ABS enable experts to assess the influence of exogenous parameters (e.g., climate changes or stock market prices), as well as the impact of policies and their long-term consequences. Despite some successes, the use of ABS is hindered by a set of interrelated factors. First, ABS are mainly created and used by researchers and experts in academia and specialized consulting firms. Second, the results of ABS are typically not automatically integrated into the corresponding business process. Instead, the integration is undertaken by human users who are responsible for adjusting the implemented policy to take into account the results of the ABS. These limitations are exacerbated when the results of the ABS affect multi-party agreements (e.g., contracts) since this requires all involved actors to agree on the validity of the simulation, on how and when to take its results into account, and on how to split the losses/gains caused by these changes. To address these challenges, this paper explores the integration of ABS into enterprise application landscapes. In particular, we present an architecture that integrates ABS into cross-organizational enterprise resource planning (ERP) processes. As part of this, we propose a multi-agent systems simulator for the Hyperledger blockchain and describe an example supply chain management scenario type to illustrate the approach.

Place, publisher, year, edition, pages
2019. p. 100-111
Series
Communications in Computer and Information Science ; 1047
Keywords [en]
Agent-Based Simulation, Business rules, Decision support systems, Business process management
National Category
Computer Engineering
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-161262DOI: 10.1007/978-3-030-24299-2_9ISBN: 978-3-030-24298-5 (print)ISBN: 978-3-030-24299-2 (electronic)OAI: oai:DiVA.org:umu-161262DiVA, id: diva2:1333299
Conference
17th International Conference on Practical Applications of Agents and Multi-Agent Systems, Ávila, Spain, 26th-28th June, 2019
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Available from: 2019-07-01 Created: 2019-07-01 Last updated: 2019-07-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Najjar, Amro

Search in DiVA

By author/editor
Kampik, TimotheusNajjar, Amro
By organisation
Department of Computing Science
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 18 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf