A Game Theory Based Information and Decision Support System

The Digitalization of Rapoport's Taxonomy on 2X2 Games

Abstract

Due to the increased interconnectedness of systems and sub-systems, decision-making is getting complex. Although decision-makers act rationally, set decisions can lead to irrational results, resulting in lose-lose relationships in the worst. While Operations Research imposes a mathematical structure to decision-making, and Artificial Intelligence is based on heuristics, the Theory of Games promises a fruitful approach to reach the decision-makers aspiration level: systemic collaboration in the pursuit of rational behavior and self-interest of the opponents. Within this paper, a game theory-based information and decision support system is presented and demonstrated. This socio-technical artifact makes use of the research of Anatol Rapoport and its co-authors. To the current state, the artifact can analyze and evaluate 576 interactive situations (games, wherein two actors choose between two strategies (2x2)), represented in 78 payoff sets. Extending the current version from strict ordinal games to ordinal games, the artifact can analyze and evaluate 5.625 games, represented in 732 payoff sets.