Dynamic Binding Is the Name of the Game

A game theory approach to the Iranian forest industry raw material market

Dynamic game theory is applied to analyze the timber market in northern Iran as a duopsony. The Nash equilibrium and the dynamic properties of the system based on marginal adjustments are determined. When timber is sold, the different mills use mixed strategies to give sealed bids. It is found that the decision probability combination of the different mills follow a special form of attractor an...

Science and Sociology: Predictive Power is the Name of the Game, Sheldon Ekland-Olson & Jack P. Gibbs (2017), Routledge, ISBN 978-1-138-04784-6

Dynamic system of strategic games

Maybe an event can't be modeled completely through one game but there is more chance with several games. With emphasis on players' rationality, we present new properties of strategic games, which result in production of other games. Here, a new attitude to modeling will be presented in game theory as dynamic system of strategic games and its some applications such as analysis of the clash betwe...

APPLICATION OF GAME THEORY IN DYNAMIC COMPETITIVE PRICING WITH ONE PRICE LEADER AND N DEPENDENT FOLLOWERS

 In this research UF cheese pricing is considered and Pegah, Pak, Kaleh, Rouzaneh and Mihan firms’ data, as five main UF cheese competitive firms of Iran in breakfast cheese competitive market, is used. By using these firm’s sales data, production data and price of each ton of UF cheese in nineteen work-periods (each work-period is 6 months), their sales equations are estimated for each work-pe...

A game theory approach to the sawnwood and pulpwood markets in the north of Iran

Duopoly game theory is applied to the wood industrial markets (sawnwood and pulpwood markets) in the North of Iran. The Nash equilibrium and the dynamic properties of the system based on marginal adjustments are determined. The probability that the Nash equilibrium will be reached is almost zero. The dynamical properties of sawnwood and pulpwood prices derived via the duopoly game model are fou...

An Adaptive Learning Game for Autistic Children using Reinforcement Learning and Fuzzy Logic

This paper, presents an adapted serious game for rating social ability in children with autism spectrum disorder (ASD). The required measurements are obtained by challenges of the proposed serious game. The proposed serious game uses reinforcement learning concepts for being adaptive. It is based on fuzzy logic to evaluate the social ability level of the children with ASD. The game adapts itsel...