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Algorithmic game theory (AGT) is an area in the intersection of game theory and computer science, with the objective of understanding and design of algorithms in strategic environments. Typically, in Algorithmic Game Theory problems, the input to a given algorithm is distributed among many players who have a personal interest in the output.
GNS theory is an informal field of study developed by Ron Edwards which attempts to create a unified theory of how role-playing games work. Focused on player behavior, in GNS theory participants in role-playing games organize their interactions around three categories of engagement: Gamism, Narrativism and Simulation.
In the 2016 video game No Man's Sky, the universe is a simulated universe run by The Atlas. According to in-game lore, many vastly different iterations of the universe existed, with very different histories and races. As the Atlas AI became more and more corrupted, the universes became more and more similar to each other.
Evolutionary game theory (EGT) is the application of game theory to evolving populations in biology. It defines a framework of contests, strategies, and analytics into which Darwinian competition can be modelled.
Separately, game theory has played a role in online algorithms; in particular, the k-server problem, which has in the past been referred to as games with moving costs and request-answer games. [124] Yao's principle is a game-theoretic technique for proving lower bounds on the computational complexity of randomized algorithms , especially online ...
The Game of Life, also known as Conway's Game of Life or simply Life, is a cellular automaton devised by the British mathematician John Horton Conway in 1970. [1] It is a zero-player game , [ 2 ] [ 3 ] meaning that its evolution is determined by its initial state, requiring no further input.
An extensive form representation of a signaling game. In game theory, a signaling game is a simple type of a dynamic Bayesian game. [1]The essence of a signalling game is that one player takes an action, the signal, to convey information to another player, where sending the signal is more costly if they are conveying false information.
In game theory, a variant of backward induction is used to compute subgame perfect equilibria in sequential games. [5] The difference is that optimization problems involve one decision maker who chooses what to do at each point of time. In contrast, game theory problems involve the interacting decision of several players. In this situation, it ...