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Optimistic and pessimistic approaches for cooperative games

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  • Ata Atay
  • Christian Trudeau

Abstract

Cooperative game theory studies how to allocate the joint value generated by a set of players. These games are typically analyzed using the characteristic function form with transferable utility, which represents the value attainable by each coalition. In the presence of externalities, coalition values can be defined through various approaches, notably by trying to determine the best and worst-case scenarios. Typically, the optimistic and pessimistic perspectives offer valuable insights into strategic interactions. In many applications, these approaches correspond to the coalition either choosing first or choosing after the complement coalition. In a general framework in which the actions of a group affects the set of feasible actions for others, we explore this relationship and show that it always holds in the presence of negative externalities, but only partly with positive externalities. We then show that if choosing first/last corresponds to these extreme values, we also obtain a useful inclusion result: allocations that do not allocate more than the optimistic upper bounds also do not allocate less than the pessimistic lower bounds. Moreover, we show that when externalities are negative, it is always possible to guarantee the non-emptiness of these sets of allocations. Finally, we explore applications to illustrate how our findings provide new results and offer a means to derive results from the existing literature.

Suggested Citation

  • Ata Atay & Christian Trudeau, 2024. "Optimistic and pessimistic approaches for cooperative games," Papers 2403.01442, arXiv.org, revised Dec 2024.
  • Handle: RePEc:arx:papers:2403.01442
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    Cited by:

    1. Trudeau, Christian & Rosenthal, Edward C., 2026. "The pipeline externalities problem," Journal of Mathematical Economics, Elsevier, vol. 122(C).
    2. Atay, Ata & Trudeau, Christian, 2026. "Optimistic and pessimistic approaches for cooperative games," European Journal of Operational Research, Elsevier, vol. 328(2), pages 725-733.
    3. Banerjee, Sreoshi & Trudeau, Christian, 2026. "Queueing and Scheduling Problems with Multiple Servers," MPRA Paper 128053, University Library of Munich, Germany.
    4. Gustavo Berganti~nos & Leticia Lorenzo, 2025. "Applying an axiomatic approach to revenue allocation in airlines problems," Papers 2512.10418, arXiv.org.
    5. Ricardo Martinez & Juan D. Moreno-Ternero, 2025. "Proportional redistribution," Papers 2511.23374, arXiv.org.
    6. Sreoshi Banerjee & Christian Trudeau, 2025. "The accountable function: a new approach to scheduling problems," Working Papers 2507, University of Windsor, Department of Economics.
    7. Bergantiños, Gustavo & Moreno-Ternero, Juan D., 2025. "The Shapley index for music streaming platforms," Information Economics and Policy, Elsevier, vol. 71(C).

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    More about this item

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

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