Work

Algorithmic game theory

Year: 2010

Type: article

Source: Communications of the ACM

DOI: 10.1145/1785414.1785439

Author: Tim Roughgarden

Institution: Stanford University

Language: English

Topic: Game Theory and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funder: Division of Computing and Communication Foundations

Award: G7938495626

OpenAlex ID: W4294576339

FWCI: 6.539

Cites: 32

Cited by: 298

Related to: 10