Abstract
Individuals cannot solve complex tasks by themselves due to their limited capabilities. By self-organizing into groups, individuals with different capabilities can overcome their limitations. Individuals and groups often change over time: The individuals that form the group learn new ways to solve the task, while groups adapt their composition in response to the current needs of the task. The latter is driven by the differing characteristics of the individuals, as some of them might be better adapted at a particular point in time but do not participate in the group. By self-organizing, groups absorb these individuals within their ranks, so they have the best-adapted members. However, there is a lack of consensus on whether changing a group’s composition over time is beneficial or detrimental to task performance. Moreover, previous research has often assumed that agents are homogeneous. We implement an adaptation of the NK-framework using agents with heterogeneous capabilities, which includes an individual learning mechanism and a second-price auction mechanism for group self-organization. Heterogeneity in the agents’ capabilities ensures that groups have an incentive to change their composition over time. Our results suggest that group self-organization can improve task performance depending on task complexity and how prominent is individual learning.
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Axtell, R.L.: What economic agents do: how cognition and interaction lead to emergence and complexity. Rev. Austrian Econ. 20(2–3), 105–122 (2007)
Creplet, F., Dupouet, O., Kern, F., Mehmanpazir, B., Munier, F.: Consultants and experts in management consulting firms. Res. Policy 30(9), 1517–1535 (2001)
Eisenhardt, K.M., Martin, J.A.: Dynamic capabilities: what are they? Strat. Manag. J. 21, 1105–1121 (2000)
Funke, J., Frensch, P.A.: Complex problem solving research in North America and Europe: an integrative review. Foreign Psychol. 5, 42–47 (1995)
Giannoccaro, I., Galesic, M., Francesco, G., Barkoczi, D., Carbone, G.: Search behavior of individuals working in teams: a behavioral study on complex landscapes. J. Bus. Res. 1–10 (2019)
Gomes, P.F., Reia, S.M., Rodrigues, F.A., Fontanari, J.F.: Mobility helps problem-solving systems to avoid groupthink. Phys. Rev. E 99(3), 1–10 (2019)
Hannachi, M., Fares, M., Coleno, F., Assens, C.: The “new agricultural collectivism’’: how cooperatives horizontal coordination drive multi-stakeholders self-organization. J. Co-operative Organ. Manag. 8(2), 100–111 (2020)
Hsu, S.C., Weng, K.W., Cui, Q., Rand, W.: Understanding the complexity of project team member selection through agent-based modeling. Int. J. Proj. Manag. 34(1), 82–93 (2016)
Leitner, S.: On the role of incentives in evolutionary approaches to organizational design (2021). http://arxiv.org/abs/2105.04514
Leitner, S., Wall, F.: Multiobjective cecision making policies and coordination mechanisms in hierarchical organizations: results of an agent-based simulation. Sci. World J. 2014, 1–12 (2014)
Levinthal, D.A.: Adaptation on rugged landscapes. Manag. Sci. 43(7), 934–950 (1997)
Levinthal, D.A., Marino, A.: Three facets of organizational adaptation: selection, variety, and plasticity. Organ. Sci. 26(3), 743–755 (2015)
LiCalzi, M., Surucu, O.: The power of diversity over large solution spaces. Manag. Sci. 58(7), 1408–1421 (2012)
March, J.G.: Exploration and exploitation in organizational learning. Organ. Sci. 2(1), 71–87 (1991)
Page, S.E.: The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools and Societies. Princeton University Press, Princeton (2007)
Rivkin, J.W., Siggelkow, N.: Balancing search and stability: interdependencies among elements of organizational design. Manag. Sci. 49(3), 290–311 (2003)
Simon, H.A.: Models of Man, Social and Rational. Wiley, New York (1957)
Teece, D.J., Pisano, G., Shuen, A.: Dynamic capabilities and strategic management: organizing for innovation and growth. Strat. Manag. J. 18(7), 509–533 (1997)
Vickrey, W.: Counterspeculation, auctions, and competitive sealed tenders. J. Financ. 16(1), 8–37 (1961)
Wall, F.: Adaptation of the boundary system in growing firms: an agent-based computational study on the role of complexity and search strategy. Econ. Res.-Ekon. Istraz. 1–23 (2019)
Wall, F., Leitner, S.: Agent-based computational economics in management accounting research: Opportunities and difficulties. J. Manag. Account. Res. (2020)
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Blanco-Fernández, D., Leitner, S., Rausch, A. (2022). Autonomous Group Formation of Heterogeneous Agents in Complex Task Environments. In: Czupryna, M., Kamiński, B. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-92843-8_11
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DOI: https://doi.org/10.1007/978-3-030-92843-8_11
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