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Graphical representation of agent-based models in Operational Research and Management Science using UML

Graphical representation of agent-based models in Operational Research and Management Science using UML
Graphical representation of agent-based models in Operational Research and Management Science using UML
Agent-Based Modelling and Simulation (ABM/S) is still struggling to become one of the main stream simulation methods in Operational Research (OR) and Management Science (MS), despite its generally accepted usefulness when it comes to representing human behaviour in human-centric systems. In other fields, as for example Business Studies, Economics, and Social Science, it is flourishing. One of the technical differences between ABM/S and the well-established OR/MS simulation methods System Dynamics Simulation (SDS) and Discrete Event Simulation (DES) is that ABM/S traditionally uses an equation based modelling approach while SDS and DES use a graphical notation for the model description. We believe that having a graphical notation for ABM/S would help establish it in OR/MS. The Unified Modelling Language (UML) is a graphical notation commonly used in software engineering for the purpose of software design. Use case and state machine diagrams, which are part of the UML notation seem to lend themselves particularly well to ABM/S. In this paper we introduce UML to the OR/MS community. First we explain step-by-step how to use UML for developing ABM/S models. Then we demonstrate the application of this graphical notation by presenting two conceptual models we built for real world OR/MS case studies.
143-153
Operational Research Society
Siebers, Peer-Olaf
f361e7cc-6d51-486b-8444-7fc46b033175
Onggo, Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Siebers, Peer-Olaf
f361e7cc-6d51-486b-8444-7fc46b033175
Onggo, Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80

Siebers, Peer-Olaf and Onggo, Stephan (2014) Graphical representation of agent-based models in Operational Research and Management Science using UML. In Proceedings of the 7th Operation Research Society Simulation Workshop. Operational Research Society. pp. 143-153 .

Record type: Conference or Workshop Item (Paper)

Abstract

Agent-Based Modelling and Simulation (ABM/S) is still struggling to become one of the main stream simulation methods in Operational Research (OR) and Management Science (MS), despite its generally accepted usefulness when it comes to representing human behaviour in human-centric systems. In other fields, as for example Business Studies, Economics, and Social Science, it is flourishing. One of the technical differences between ABM/S and the well-established OR/MS simulation methods System Dynamics Simulation (SDS) and Discrete Event Simulation (DES) is that ABM/S traditionally uses an equation based modelling approach while SDS and DES use a graphical notation for the model description. We believe that having a graphical notation for ABM/S would help establish it in OR/MS. The Unified Modelling Language (UML) is a graphical notation commonly used in software engineering for the purpose of software design. Use case and state machine diagrams, which are part of the UML notation seem to lend themselves particularly well to ABM/S. In this paper we introduce UML to the OR/MS community. First we explain step-by-step how to use UML for developing ABM/S models. Then we demonstrate the application of this graphical notation by presenting two conceptual models we built for real world OR/MS case studies.

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Published date: 2014

Identifiers

Local EPrints ID: 425174
URI: https://eprints.soton.ac.uk/id/eprint/425174
PURE UUID: 74dbe340-0acb-4396-addb-4618f8cf0b4b
ORCID for Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

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Date deposited: 11 Oct 2018 16:30
Last modified: 05 Nov 2019 01:22

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Contributors

Author: Peer-Olaf Siebers
Author: Stephan Onggo ORCID iD

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