foundations of algorithmic game theory

E552831

The foundations of algorithmic game theory comprise the core concepts and results at the intersection of game theory and theoretical computer science, focusing on computational aspects of strategic behavior, equilibria, and mechanism design.

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Predicate Object
instanceOf research area
subfield of game theory
subfield of theoretical computer science
appliesTo Internet advertising auctions
blockchain and cryptocurrencies
crowdsourcing systems
electronic markets
network routing protocols
fieldOfStudy algorithmic game theory
focusesOn computational aspects of equilibria
computational aspects of mechanism design
computational aspects of strategic behavior
relatedTo approximation algorithms
complexity theory
learning theory
online algorithms
studies Nash equilibrium
PPAD-completeness of Nash equilibrium
VCG mechanisms
algorithmic collusion
algorithmic mechanism design
approximate equilibria
auction theory
black-box reductions in mechanism design
budget-balanced mechanisms
coalitional games
coarse correlated equilibrium
communication complexity in games
complexity of equilibrium computation
computational hardness of manipulation
computational social choice
congestion games
correlated equilibrium
fair division
incentive compatibility
information constraints in mechanisms
learning in games
load balancing games
matching markets
mechanism design
mixed-strategy equilibrium
network games
no-regret learning
online decision-making in strategic environments
potential games
price of anarchy
price of stability
prophet inequalities in mechanism design
repeated games with computational constraints
resource allocation games
revenue-maximizing auctions
routing games
smoothed complexity of equilibria
truthful mechanisms
voting and elections
welfare-maximizing mechanisms

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The Complexity of Cooperation contributesTo foundations of algorithmic game theory
Theoretical Computer Science hasSubfield foundations of algorithmic game theory
this entity surface form: Algorithmic Game Theory