Controlling Simulation Games Through Rule-Based Scenarios

In this paper we present a framework for scenarios in simulation games. It is used to support developing, using, and managing complex and dynamic simulation games, and it supports the achievement of the game's learning goal. Especially game facilitation is increasingly challenging due to the nature of these simulation games. The framework consists of a number of conditions, rules and actions, based on the concept of production systems from artificial intelligence, and it is presented as a component of Zeigler's experimental frame. This has been successfully used in the distributor game, which is the first of a series of management games developed for today's supply chain management challenges. Further research will focus on the extension of the set of conditions, rules and actions, and on visualizing and managing the interdependencies between the simulation game, its scenario, and the players