Abstract
Artificial Intelligence technology experiences a breakthrough and throws the global economy and societies into turmoil. Experts expect Artificial Intelligence to take over human agendas more and more and replace them as a workforce – especially in repetitive work, such as recurring administrative tasks and activities. However, some companies, which already substituted humans with AI, are now backtracking and rehiring former staff. Verifiably, human intelligence, especially its ability for interaction and creativity, as well as decision-making, is not negligible for them. This paper at hand investigates rational decision-making in interactive situations and presents a Game Theory-based Decision Support System for rational decision-making (blueprint, to be implemented at www.decisionsupport.at). In doing so, the paper presents a narrative literature review on the concepts of rationality, solution concepts, and archetypes of the actors in a game, which are cornerstones of the Design Science Research-based design and development of the Decision Support System. By making use of the world-famous Prisoner's Dilemma game, a situation wherein rationality leads to dysfunctional payoffs, the presentation of the Decision Support System is augmented with a functionality test and demonstration. The paper does not reinvent Game Theory, but adds an important research result: it connects existing concepts of rationality to solution concepts. It augments human intelligence and provides solution approaches on »how to decide rationally« (normative Game Theory: how each actor should act) and »how an actor should make decisions« (descriptive Game Theory: explaining what decisions people make). It contributes to the discussion of individual rationality (mathematical representation) and collective rationality (social representation).