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GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms
We propose GEEvo (Game Economy Evolution), a framework to generate graph-based game economies and balancing both, newly generated or existing economies.
Balancing of competitive two-player Game Levels with Reinforcement Learning
The balancing process for game levels in a competitive two-player context involves a lot of manual work and testing, particularly in non-symmetrical game levels.
How the 'Auction Cube' Supports the Selection of Auction Designs in Industrial Procurement
It is well known that rightly applied reverse auctions offer big commercial potential to procurement departments.
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