Therefore, this study develops a model to identify the reasonable concession period of a BOT project by utilizing incomplete information bargaining analysis.
The techniques include information economics, games of incomplete information, sequential bargaining theory, repeated games, and rational expectations.
This chapter provides an overview of the theoretical and empirical literature on bargaining with incomplete information.The chapter begins with an analysis of bargaining within a mechanism design framework.
This research designs agents that apply TD-based reinforcement learning to deal with online bilateral bargaining with incomplete information.
The pricing strategy formulates an incomplete information, alternating-offers bargaining game on two variables, such as price per unit resource and percentage of bandwidth allocated.
The study proposes the implementation of an intermediation model in supply chains, integrating game theory and fuzzy logic, to represent the characteristic aspects of a bilateral bargaining with incomplete information where supplier customer relationships are indirectly managed by a third party agent.
Under one-sided incomplete information, it considers sequential bargaining between a seller with a known valuation and a buyer with a private valuation.
Topics include solution concepts for static and dynamic games of complete and incomplete information, signaling games, repeated games, bargaining, and elements of cooperative game theory.
However, if stationarity is not assumed, then instead a folk theorem obtains, so substantial delay is possible and the uninformed party may receive substantial surplus.The chapter also briefly sketches results for sequential bargaining with two-sided incomplete information.
Both variables reflect infrequent events subject to bias from arbitrary factors (e.g., enfor-cement practices, incomplete documentation, court delay, frequent plea bargaining to a lesser charge; Dill and Wells-Parker, 2006; Meyer and Gray, 1997; Rauch et al., 2010).
Bargaining is carried out under incomplete information, keeping agents' attitudes private.
