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Influence of Payoff in Meta-Rewards Game
Author(s) -
Fujio Toriumi,
H. Yamamoto,
Isamu Okada
Publication year - 2014
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2014.p0616
Subject(s) - stochastic game , computer science , action (physics) , set (abstract data type) , non cooperative game , screening game , game theory , microeconomics , economics , physics , quantum mechanics , programming language
In this paper, we analyze a meta-rewards game which is part of a generalized metanorms game. We theoretically analyze the game and conduct computer simulations on it. We clarify the payoff structure as to the benefit and the cost of reward and meta-reward actions. Whereas the benefit of a meta-reward, which is a rewarding action for the other rewarding actions, should be greater than its cost, it should not be much greater than the benefit of a rewarding action for other cooperative actions. This insight can be applied to the actions of users of social media, and we propose a set of policies for managers of social media services.

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