ERIC Number: EJ1385383
Record Type: Journal
Publication Date: 2023
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0022-0485
EISSN: EISSN-2152-4068
Teaching Nash Equilibrium with Python
Journal of Economic Education, v54 n2 p177-183 2023
The author describes an assignment in an undergraduate game theory course in which students work together in class to develop a computer algorithm to identify Nash equilibria. This assignment builds basic computer science skills while applying game theory knowledge to real-world situations. Students work as a team to delineate the steps and write a program to identify all of the pure-strategy Nash equilibria of the game. They then test this program by creating and solving their own game. This assignment represents an efficient way for undergraduate economics students to gain valuable computer science skills without assuming any pre-existing computer science knowledge, without having to take classes outside of the economics major, and without economics faculty having to restructure entire courses or curricula.
Descriptors: Undergraduate Students, Game Theory, Programming Languages, Assignments, Computer Literacy, Economics Education, Cooperative Learning
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: Teachers
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A