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Gamification techniques are intended to leverage people's evolved desires for socializing, learning, mastery, competition, achievement, status, self-expression, altruism, or closure, or simply their response to the framing of a situation as game or play. [32] Early gamification strategies use rewards for players who accomplish desired tasks or ...
Game theory is the study of mathematical models of strategic interactions. [1] It has applications in many fields of social science, and is used extensively in economics, logic, systems science and computer science. [2]
Findings from behavioral game theory will tend to have higher external validity and can be better applied to real world decision-making behavior. [14] Behavioral game theory is a primarily positive theory rather than a normative theory. [14] A positive theory seeks to describe phenomena rather than prescribe a correct action.
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.
[10] [11] Known as the gamification of learning, using game elements in non-game contexts extracts the properties of games from within the game context, and applies them to a learning context such as the classroom. Another positive aspect of video games is its conducive character towards the involvement of a person in other cultural activities.
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 2011, Zichermann co-wrote Gamification by Design: Implementing Game Mechanics in Web and Mobile Apps with Christopher Cunningham. The book has been described as a quick read, introducing the concept of gamification and discussing how businesses could implement gamification to keep their customers engaged. [ 29 ]
The ingredients of a stochastic game are: a finite set of players ; a state space (either a finite set or a measurable space (,)); for each player , an action set (either a finite set or a measurable space (,)); a transition probability from , where = is the action profiles, to , where (,) is the probability that the next state is in given the current state and the current action profile ; and ...