ABSTRACT
Agent-based simulations are widely used for modeling human behavior in various contexts. However, such simulations may oversimplify human decision-making. We propose the use of Gamettes to extract rich data on human decision-making and help in improving the human behavioral aspects of models underlying agent-based simulations. We show how Gamettes are designed and provide empirical validation for using Gamettes in an experimental supply chain setting to study human decision-making. Our results show that Gamettes are successful in capturing the expected behaviors and patterns in supply chain decisions, and, thus, we find evidence for the capability of Gamettes to inform behavioral models.
Supplemental Material
- Nilesh Anand, David Meijer, JHR Van Duin, Lóránt Tavasszy, and Sebastiaan Meijer. 2016. Validation of an agent based model using a participatory simulation gaming approach: the case of city logistics. Transportation Research Part C: Emerging Technologies 71 (2016), 489--499.Google ScholarCross Ref
- Nasrin Asgari, Ehsan Nikbakhsh, Alex Hill, and Reza Zanjirani Farahani. 2016. Supply chain management 1982--2015: a review. IMA Journal of Management Mathematics 27, 3 (2016), 353--379.Google ScholarCross Ref
- William Sims Bainbridge. 2007. The scientifc research potential of virtual worlds. science 317, 5837 (2007), 472--476.Google Scholar
- Olivier Barreteau, Martine Antona, Patrick D'Aquino, Sigrid Aubert, Stanislas Boissau, François Bousquet, William's Daré, Michel Etienne, Christophe Le Page, Raphaël Mathevet, and others. 2003. Our companion modelling approach. (2003).Google Scholar
- Olivier Barreteau, Pieter Bots, Katherine Daniell, Michel Etienne, Pascal Perez, Cécile Barnaud, Didier Bazile, Nicolas Becu, Jean-Christophe Castella, William's Daré, and others. 2017. Participatory approaches. In Simulating Social Complexity. Springer, 253--292.Google Scholar
- Olivier Barreteau, François Bousquet, Michel Étienne, Véronique Souchère, and Patrick d'Aquino. 2014. Companion modelling: a method of adaptive and participatory research. In Companion Modelling. Springer, 13--40.Google Scholar
- Jim Blascovich and Jeremy Bailenson. 2011. Infnite reality: Avatars, eternal life, new worlds, and the dawn of the virtual revolution. William Morrow & Co.Google Scholar
- Eric Bonabeau. 2002. Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the national academy of sciences 99, suppl 3 (2002), 7280--7287.Google ScholarCross Ref
- Sally Brailsford, Tillal Eldabi, Martin Kunc, Navonil Mustafee, and Andres F Osorio. 2018. Hybrid simulation modelling in operational research: A state-of-the-art review. European Journal of Operational Research (2018).Google Scholar
- Stefano Cacciaguerra and Matteo Rofflli. 2005. Agent-based participatory simulation activities for the emergence of complex social behaviours. Proceedings of Social Inspired Computing'05 (2005).Google Scholar
- Eduardo Calvillo-Gámez, Jeremy Gow, and Paul Cairns. 2011. Introduction to special issue: Video games as research instruments. (2011).Google Scholar
- PC Campo, François Bousquet, and TR Villanueva. 2010. Modelling with stakeholders within a development project. Environmental Modelling & Software 25, 11 (2010), 1302--1321.Google ScholarDigital Library
- David E Cantor and John R Macdonald. 2009. Decision-making in the supply chain: examining problem solving approaches and information availability. Journal of Operations Management 27, 3 (2009), 220--232.Google ScholarDigital Library
- Seth Cooper, Firas Khatib, Adrien Treuille, Janos Barbero, Jeehyung Lee, Michael Beenen, Andrew Leaver-Fay, David Baker, Zoran Popovi´ c, and others. 2010. Predicting protein structures with a multiplayer online game. Nature 466, 7307 (2010), 756.Google ScholarCross Ref
- Rachel Croson and Karen Donohue. 2006. Behavioral causes of the bullwhip effect and the observed value of inventory information. Management science 52, 3 (2006), 323--336.Google Scholar
- Rachel Croson, Karen Donohue, Elena Katok, and John Sterman. 2014. Order stability in supply chains: Coordination risk and the role of coordination stock. Production and Operations Management 23, 2 (2014), 176--196.Google ScholarCross Ref
- Sebastian Deterding, Dan Dixon, Rilla Khaled, and Lennart Nacke. 2011. From game design elements to gamefulness: defning gamifcation. In Proceedings of the 15th international academic MindTrek conference: Envisioning future media environments. ACM, 9--15.Google ScholarDigital Library
- Ignacio X Domínguez, Rogelio E Cardona-Rivera, James K Vance, and David L Roberts. 2016. The mimesis effect: The effect of roles on player choice in interactive narrative role-playing games. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 3438--3449.Google ScholarDigital Library
- Rozhin Doroudi, Rana Azghandi, Zlatan Feric, Omid Mohaddesi, Yifan Sun, Jacqueline Griffn, Ozlem Ergun, David Kaeli, Pedro Sequeira, Stacy Marsella, and others. 2018. An integrated simulation framework for examining resiliency in pharmaceutical supply chains considering human behaviors. In Proceedings of the 2018 Winter Simulation Conference. IEEE Press, 88--99.Google ScholarDigital Library
- Magy Seif El-Nasr, Anders Drachen, and Alessandro Canossa. 2016. Game analytics. Springer.Google Scholar
- Michel Étienne. 2013. Companion modelling: a participatory approach to support sustainable development. Springer Science & Business Media.Google Scholar
- Chiara Franzoni and Henry Sauermann. 2014. Crowd science: The organization of scientifc research in open collaborative projects. Research policy 43, 1 (2014), 1--20.Google Scholar
- Paul Guyot and Shinichi Honiden. 2006. Agent-based participatory simulations: Merging multi-agent systems and role-playing games. Journal of Artifcial Societies and Social Simulation 9, 4 (2006).Google Scholar
- Casper Harteveld, Nolan Manning, Farah Abu-Arja, Rick Menasce, Dean Thurston, Gillian Smith, and Steven C Sutherland. 2017. Design of playful authoring tools for social and behavioral science. In Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion. ACM, 157--160.Google ScholarDigital Library
- Casper Harteveld, Sam Snodgrass, Omid Mohaddesi, Jack Hart, Tyler Corwin, and Guillermo Romera Rodriguez. 2018. The Development of a Methodology for Gamifying Surveys. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts. ACM, 461--467.Google ScholarDigital Library
- Casper Harteveld and Steven Sutherland. 2014. Finding the Game in Decision--Making: A Preliminary Investigation. The Shift from Teaching to Learning: Individual, Collective and Organizational Learning Through Gaming Simulation (2014), 199.Google Scholar
- Casper Harteveld and Steven C Sutherland. 2017. Personalized gaming for motivating social and behavioral science participation. In Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces. ACM, 31--38.Google ScholarDigital Library
- Kristy L Hawley, Maryann Mazer-Amirshahi, Mark S Zocchi, Erin R Fox, and Jesse M Pines. 2016. Longitudinal trends in US drug shortages for medications used in emergency departments (2001--2014). Academic Emergency Medicine 23, 1 (2016), 63--69.Google ScholarCross Ref
- Akhmad Hidayatno, Rachel Giovani Hasibuan, Girindra Chaska Wardana Nimpuno, Arry Rahmawan Destyanto, and others. 2019. Designing a Serious Simulation Game as a Learning Media of Sustainable Supply Chain Management for Biofuel Production. Energy Procedia 156 (2019), 43--47.Google ScholarCross Ref
- Wander Jager and Gerben van der Vegt. 2015. Management of Complex Systems: Toward Agent-Based Gaming for Policy. In Policy Practice and Digital Science. Springer, 291--303.Google Scholar
- Robert E Kass and Adrian E Raftery. 1995. Bayes factors. Journal of the american statistical association 90, 430 (1995), 773--795.Google ScholarCross Ref
- Jack PC Kleijnen. 2005. Supply chain simulation tools and techniques: a survey. International Journal of Simulation and Process Modelling 1, 1--2 (2005), 82--89.Google ScholarCross Ref
- Christophe Le Page and Arthur Perrotton. 2017. KILT: a modelling approach based on participatory agent-based simulation of stylized socio-ecosystems to stimulate social learning with local stakeholders. In International Workshop on Multi-Agent Systems and Agent-Based Simulation. Springer, 156--169.Google ScholarCross Ref
- Michela Le Pira, Edoardo Marcucci, and Valerio Gatta. 2017. Role-playing games as a mean to validate agent-based models: An application to stakeholder-driven urban freight transport policy-making. Transportation Research Procedia 27 (2017), 404--411.Google ScholarCross Ref
- Hau L Lee, Venkata Padmanabhan, and Seungjin Whang. 1997. The bullwhip effect in supply chains. Sloan management review 38 (1997), 93--102.Google Scholar
- Charles M Macal and Michael J North. 2005. Tutorial on agent-based modeling and simulation. In Proceedings of the Winter Simulation Conference, 2005. IEEE, 14--pp.Google ScholarCross Ref
- David Massey, Ola Ahlqvist, Kiril Vatev, and Johnathan Rush. 2019. A Massively Multi-user Online Game Framework for Agent-Based Spatial Simulation. In CyberGIS for Geospatial Discovery and Innovation. Springer, 213--224.Google Scholar
- Edward McAuley, Terry Duncan, and Vance V Tammen. 1989. Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: A confrmatory factor analysis. Research quarterly for exercise and sport 60, 1 (1989), 48--58.Google Scholar
- Sebastiaan Meijer. 2009. The organisation of transactions: Studying supply networks using gaming simulation. Vol. 6. Wageningen Academic Pub.Google Scholar
- Fabien Michel, Jacques Ferber, and Alexis Drogoul. 2018. Multi-Agent Systems and Simulation: A Survey from the Agent Commu-nity's Perspective. In Multi-Agent Systems. CRC Press, 17--66.Google Scholar
- Arunachalam Narayanan and Brent B Moritz. 2015. Decision making and cognition in multi-echelon supply chains: an experimental study. Production and Operations Management 24, 8 (2015), 1216--1234.Google ScholarCross Ref
- Joerg Nienhaus, Arne Ziegenbein, and Paul Schönsleben. 2006. How human behaviour amplifes the bullwhip effect. A study based on the beer distribution game online. Production Planning & Control 17, 6 (2006), 547--557.Google ScholarCross Ref
- Afshin Oroojlooyjadid, MohammadReza Nazari, Lawrence Snyder, and Martin Takác. 2017. A Deep Q-Network for the Beer Game: A Reinforcement Learning Algorithm to Solve Inventory Optimization Problems. arXiv preprint arXiv:1708.05924 (2017).Google Scholar
- Nathan Partlan, Elin Carstensdottir, Sam Snodgrass, Erica Kleinman, Gillian Smith, Casper Harteveld, and Magy Seif El-Nasr. 2018. Exploratory Automated Analysis of Structural Features of Interactive Narrative. In Fourteenth Artifcial Intelligence and Interactive Digital Entertainment Conference.Google Scholar
- Vincent Peters, Geert Vissers, and Gerton Heijne. 1998. The validity of games. Simulation & Gaming 29, 1 (1998), 20--30.Google ScholarCross Ref
- David V Pynadath and Stacy C Marsella. 2005. PsychSim: Modeling theory of mind with decision-theoretic agents. In IJCAI, Vol. 5. 1181--1186.Google Scholar
- John R Raser. 1969. Simulation and society: An exploration of scientifc gaming. (1969).Google Scholar
- Christopher A Rates, Bridget K Mulvey, and David F Feldon. 2016. Promoting conceptual change for complex systems understanding: Outcomes of an agent-based participatory simulation. Journal of Science Education and Technology 25, 4 (2016), 610--627.Google ScholarCross Ref
- Stéphane Ross, Joelle Pineau, Sébastien Paquet, and Brahim Chaib-Draa. 2008. Online planning algorithms for POMDPs. Journal of Artifcial Intelligence Research 32 (2008), 663--704.Google ScholarDigital Library
- Richard M Ryan. 1982. Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. Journal of personality and social psychology 43, 3 (1982), 450.Google ScholarCross Ref
- Sidney Siegel. 1956. Nonparametric methods for the behavioral sciences. New York (1956).Google Scholar
- Christophe Simon and M Etienne. 2010. A companion modelling approach applied to forest management planning. Environmental Modelling & Software 25, 11 (2010), 1371--1384.Google ScholarDigital Library
- Lawrence V Snyder and Zuo-Jun Max Shen. 2011. Fundamentals of supply chain theory. Wiley Online Library.Google Scholar
- Véronique Souchère, Laurent Millair, Javier Echeverria, François Bousquet, Christophe Le Page, and Michel Etienne. 2010. Co-constructing with stakeholders a role-playing game to initiate collective management of erosive runoff risks at the watershed scale. Environmental Modelling & Software 25, 11 (2010), 1359--1370.Google ScholarDigital Library
- John D Sterman. 1989. Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management science 35, 3 (1989), 321--339.Google Scholar
- John D Sterman. 2006. Learning from evidence in a complex world. American journal of public health 96, 3 (2006), 505--514.Google Scholar
- John D Sterman and Gokhan Dogan. 2015. "I'm not hoarding, I'm just stocking up before the hoarders get here.": Behavioral causes of phantom ordering in supply chains. Journal of Operations Management 39 (2015), 6--22.Google ScholarDigital Library
- K Thomas. 2017. A vital drug runs low, though its base ingredient is in many kitchens. New York Times (2017).Google Scholar
- Amos Tversky and Daniel Kahneman. 1974. Judgment under uncertainty: Heuristics and biases. science 185, 4157 (1974), 1124--1131.Google Scholar
- Sean D Vermillion, Richard J Malak, Rachel Smallman, Brittney Becker, Michale Sferra, and Sherecce Fields. 2017. An investigation on using serious gaming to study human decision-making in engineering contexts. Design Science 3 (2017).Google Scholar
- Alexey Voinov and Francois Bousquet. 2010. Modelling with stakeholders. Environmental Modelling & Software 25, 11 (2010), 1268--1281.Google ScholarDigital Library
- Eric-Jan Wagenmakers. 2007. A practical solution to the pervasive problems ofp values. Psychonomic bulletin & review 14, 5 (2007), 779--804.Google Scholar
- Günter Wallner. 2019. Data Analytics Applications in Gaming and Entertainment. CRC Press.Google Scholar
- Kobchai Worrapimphong, Nantana Gajaseni, Christophe Le Page, and François Bousquet. 2010. A companion modeling approach applied to fshery management. Environmental Modelling & Software 25, 11 (2010), 1334--1344.Google ScholarDigital Library
Index Terms
- Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models
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