605.221 (20S) Agent-based Modeling

Sommersemester 2020

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Erster Termin der LV
08.07.2020 09:00 - 16:00 Online Off Campus
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Überblick

Lehrende/r
LV-Titel englisch
Agent-based-Modeling
LV-Art
Seminar (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechnungspunkte
4.0
Anmeldungen
6 (15 max.)
Organisationseinheit
Unterrichtssprache
Englisch
LV-Beginn
08.07.2020
eLearning
zum Moodle-Kurs

Zeit und Ort

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LV-Beschreibung

Intendierte Lernergebnisse

  • Understanding the core ideas of Agent-based modelling (ABM)
  • Getting an idea of applications of ABM as research approach in business and economics including its virtues and drawbacks
  • Getting a basic understanding of how to implement agent-based models including some computer exercises (but: this course is not a programming course!)

Lehrmethodik inkl. Einsatz von eLearning-Tools

Lecture, discussion, students' presentation, computer exercises.

Please, have a notebook with MS-Excel or a comparable spreadsheet tool installed with you.

Inhalt/e

  • Agent-Based Modelling: A Brief Introduction
  • Building Agent-Based Models: Basic Introduction and Some Computer Exercises
  • Agent-Based Computational Economics
  • Examples of Research Studies Employing Agent-Based Models (Students’ Presentations)
  • Agent-Based Modelling as a Research Approach: Virtues and Drawbacks

Literatur

Chang M-H, Harrington JE (2006) Agent-based Models of Organizations. In:Tesfatsion L, Judd KL (eds) Handbook of Computational Economics: Agent-basedComputational Economics, vol 2. Elsevier, Amsterdam, pp 1273-1337

Macal CM, North MJ (2010) Tutorial on Agent-based Modelling and Simulation. Journal of Simulation 4 (3):151-162

Squazzoni F (2010) The Impact of Agent-based Models in the Social Sciences. History of Economic Ideas 18 (2):197-233

Wall F (2016) Agent-based Modeling in Managerial Science: An Illustrative Survey and Study. Review of Managerial Science 10(1):135-193

Further literature will be mentioned in the course's material.

Prüfungsinformationen

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Prüfungsmethode/n

Short oral presentation (20 min.) and a paper of 12 pages at maximum (not including index, references, appendix...).

Prüfungsinhalt/e

To each examinee a research paper employingagent-based modelling will be assigned.

The oral presentation is intended to give a shortoverview about the research question and the agent-based model in that paper.

The paper should in depth Show/discuss how theresearch question is captured by the agent-based model employed in the researchpaper.

Beurteilungskriterien/-maßstäbe

Attendance of at least 75%.

For the presentation and the paper:

  • correctness and clarity (i.e., are the key ideas of the research paper correctly and concisely captured and presented).

For the paper additionally:

  • Elaboration of how the agent-based model reflects the research question of the paper.

Beurteilungsschema

Note Benotungsschema

Position im Curriculum

  • Doktoratsprogramm Modeling, Simulation and Optimization in Business and Economics (SKZ: ---, Version: 16W.2)
    • Fach: Modelling, Simulation, Optimization in Business and Economics (Pflichtfach)
      • Modelling, Simulation, Optimization in Business and Economics ( 0.0h XX / 0.0 ECTS)
        • 605.221 Agent-based Modeling (2.0h SE / 4.0 ECTS)
  • Doktoratsstudium Doktoratsstudium der Sozial- und Wirtschaftswissenschaften (SKZ: 300, Version: 18W.1)
    • Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Pflichtfach)
      • Studienleistungen gem. § 3 Abs. 2a des Curriculums ( 0.0h XX / 80.0 ECTS)
        • 605.221 Agent-based Modeling (2.0h SE / 4.0 ECTS)
  • Doktoratsstudium Doktoratsstudium der Sozial- und Wirtschaftswissenschaften (SKZ: 300, Version: 12W.4)
    • Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Pflichtfach)
      • Studienleistungen gem. § 3 Abs. 2a des Curriculums ( 40.0h XX / 80.0 ECTS)
        • 605.221 Agent-based Modeling (2.0h SE / 4.0 ECTS)
  • Doktoratsstudium Doktoratsstudium der Sozial- und Wirtschaftswissenschaften (SKZ: 784, Version: 12W.4)
    • Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Pflichtfach)
      • Studienleistungen gem. § 3 Abs. 2a des Curriculums ( 40.0h XX / 80.0 ECTS)
        • 605.221 Agent-based Modeling (2.0h SE / 4.0 ECTS)

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