In this thesis I describe a method where an experience manager chooses actions for non-player characters (NPCs) in intelligent interactive narratives through story graph representation and pruning. The space of all stories can be represented as a story graph where nodes are states and edges are actions. By shaping the domain as a story graph, experience manager decisions can be made by pruning edges. Starting with a full graph, I apply a set of pruning strategies that will allow the narrative to be finishable, NPCs to act believably, and the player to be responsible for how the story unfolds. By never pruning player actions, the experience manager can accommodate any player choice. This experience management technique was first implemented on a training simulation, where participants’ performance improved over repeated sessions. This technique was also employed on an adventure game where players generally found the NPCs’ behaviors to be more believable than the control.

The main goal of the diploma thesis is to prepare a plan for information system modernization with use of project management for HARTMANN-RICO company. This task is going to be solved with use of critical analysis and project management. The result is going to be detailed plan of the project with all necessary prerequisites including economical evaluation. Based on which management will make a decision about acual project realisation.