The largest project at the AICG lab at Linköping University, Cognitive models for virtual characters, focuses on creating an agent architecture for intelligent, virtual characters. The goal is to create an agent that acts naturally and gives a realistic user experience. The purpose of this thesis is to develop and implement an appropriate learning model that fits the existing agent architecture using an agile project methodology. The model developed can be seen as an online Unsupervised reinforcement learning model that enhances experiences through reward. The model is based on Maes model where new effects are created depending on whether the agent is fulfilling its goals or not.The model we have developed is based on constant monitoring of the system.

This paper describes the design and implementation of an automated build system for the JAS39A simulator FUS39A at HiQ:s offices in Arboga. The assignment was to automate the process in which modules are built; the simulator is composed of a number of modules which are built manually at the end of each week, this process takes about a day of manual labor. The system can automatically build a module as either a scheduled service or by manual invocation. The system contains functionality for reporting the build results to any given recipient by e-mail. The purpose of the system is to free up the time put into manually building the modules for better suited tasks by automating the build of FUS39A.The assignment was split into two parts, an analysis part where information of the old system was gathered, tools and methods were chosen and the new system was designed.