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Simulating Work Teams Using MBTI Agents

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Multi-Agent-Based Simulation XXIII (MABS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13743))

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Abstract

The study of human behavior in organizational environments has been the focus of researchers who seek to identify factors that may influence high-performance team building. In this context, agent-based simulations have been used to model artificial agents with human personality profiles based on the MBTI model. This work aimed to investigate whether MBTI personality types and different scenarios could influence the teams’ outcomes, observing how agents’ behaviors might impact the overall group performance. The results demonstrated that the scenario can decisively impact agent teams’ performance, and certain personality type characteristics also influence these results.

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Author information

Authors and Affiliations

  1. Universidade de São Paulo, São Paulo, Brazil

    Luiz Fernando Braz & Jaime Simão Sichman

  2. Universidade de Sorocaba, Sorocaba, Brazil

    Cristina Maria D. Antona Bachert

Authors
  1. Luiz Fernando Braz
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  2. Cristina Maria D. Antona Bachert
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  3. Jaime Simão Sichman
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Corresponding author

Correspondence to Luiz Fernando Braz .

Editor information

Editors and Affiliations

  1. Malmö University, Malmö, Sweden

    Fabian Lorig

  2. University of Sheffield, Sheffield, UK

    Emma Norling

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Braz, L.F., Bachert, C.M.D.A., Sichman, J.S. (2023). Simulating Work Teams Using MBTI Agents. In: Lorig, F., Norling, E. (eds) Multi-Agent-Based Simulation XXIII. MABS 2022. Lecture Notes in Computer Science(), vol 13743. Springer, Cham. https://doi.org/10.1007/978-3-031-22947-3_5

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  • DOI: https://doi.org/10.1007/978-3-031-22947-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22946-6

  • Online ISBN: 978-3-031-22947-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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