Abstract
There often exist multiple equilibria in the algorithm results of metagame theory and conflict analysis, and some of the equilibria may be non-Pareto optimal or low stable. Thus, it is still a problem for decision-makers to choose among the equilibria. On the basis of the traditional metagame algorithm, this paper develops a new algorithm by taking ″foresight incentive″ into consideration, so as to obtain more terse and stable equilibria. The analysis steps of the foresight incentive algorithm include generating a route for each player in each scenario, identifying the check-point in each route, examining if each check-point is foresight incentive point, and analyzing the stability of each scenario for each player. Finally, through the case study of a real construction conflict, the effectiveness and superiority of the foresight incentive algorithm are verified.
