Introduction to game-theory calculations
| dc.creator | Orsini, Nicola | |
| dc.creator | Rizzuto, Debora | |
| dc.creator | Nante, Nicola | |
| dc.date | 2017-04-01T20:12:50Z | |
| dc.date.accessioned | 2026-07-09T05:49:57Z | |
| dc.description | Game theory can be defined as the study of mathematical models of conflict and cooperation between intelligent and rational decision makers (Myerson 1991). Game-theory concepts apply in economy, sociology, biology, and health care, and whenever the actions of several agents (individuals, groups, or any combination of these) are interdependent. We present a new command gamet to represent the extensive form (game tree) and the strategic form (payoff matrix) of a noncooperative game and to identify the solution of a nonzero and zero-sum game through dominant and dominated strategies, iterated elimination of dominated strategies, and Nash equilibrium in pure and fully mixed strategies. Further, gamet can identify the solution of a zero-sum game through maximin criterion and the solution of an extensive form game through backward induction. | |
| dc.identifier | Other:st0088 | |
| dc.identifier | doi:10.22004/ag.econ.117525 | |
| dc.identifier | https://ageconsearch.umn.edu/record/117525/files/sjart_st0088.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/117525 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/568911 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/117525 | |
| dc.title | Introduction to game-theory calculations | |
| dc.type | Text |