Artikel
Names for games: Locating 2 × 2 games
Prisoner's Dilemma, Chicken, Stag Hunts, and other two-person two-move (2 × 2) models of strategic situations have played a central role in the development of game theory. The Robinson-Goforth topology of payoff swaps reveals a natural order in the payoff space of 2 × 2 games, visualized in their four-layer "periodic table" format that elegantly organizes the diversity of 2 × 2 games, showing relationships and potential transformations between neighboring games. This article presents additional visualizations of the topology, and a naming system for locating all 2 × 2 games as combinations of game payoff patterns from the symmetric ordinal 2 × 2 games. The symmetric ordinal games act as coordinates locating games in maps of the payoff space of 2 × 2 games, including not only asymmetric ordinal games and the complete set of games with ties, but also ordinal and normalized equivalents of all games with ratio or real-value payoffs. An efficient nomenclature can contribute to a systematic understanding of the diversity of elementary social situations; clarify relationships between social dilemmas and other joint preference structures; identify interesting games; show potential solutions available through transforming incentives; catalog the variety of models of 2 × 2 strategic situations available for experimentation, simulation, and analysis; and facilitate cumulative and comparative research in game theory.
- Sprache
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Englisch
- Erschienen in
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Journal: Games ; ISSN: 2073-4336 ; Volume: 6 ; Year: 2015 ; Issue: 4 ; Pages: 495-520 ; Basel: MDPI
- Klassifikation
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Wirtschaft
- Thema
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taxonomy of 2 × 2 games
transforming strategic situations
strict and non-strict ordinal games
social dilemmas
collective action problems
- Ereignis
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Geistige Schöpfung
- (wer)
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Bruns, Bryan Randolph
- Ereignis
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Veröffentlichung
- (wer)
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MDPI
- (wo)
-
Basel
- (wann)
-
2015
- DOI
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doi:10.3390/g6040495
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Bruns, Bryan Randolph
- MDPI
Entstanden
- 2015
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