| Abstract: |  The main contribution of this thesis is a game that allows each player to learn about auctions, rational behaviour in auctions and auction algorithms. It is meant to translate auction theory into a more easily understandable form by letting players apply their understanding during the game. The thesis also discusses the impact of omission of various assumptions like independent valuation of goods by agents or adoption of non-risk-neutral strategies that lead either to risk-avoidance or risk-seeking. It also describes the process of designing the artificial intelligence and gives reasons for favouring certain approaches over others.
The game can serve as a basis of a more complex project, since its design and implementation can be expanded on. The project allows for auctions, designs, implementation of the AI etc. to be complemented by new ideas, and there is also a possibility of adding new types of buildings, auctions etc. This is also true for ways of upgrading buildings and research which might also be improved. In this way the game could be brought even closer to reality and could potentially bring deeper understanding of auctions and economical behaviour. This project could thus be used as a basis for an even more complex and intriguing computer game.
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