Developing Computational Intelligence (CI) in economic games and policy design is a very promising and fast-growing field. Several interesting multi-disciplinary subfields exists, which require researchers of various disciplines to collaborate with each other and contribute to the advances of knowledge in this field. Self-play and co-evolutionary learning are often used among various CI techniques. CI techniques can also be used and developed for simulating economic markets. Besides simulating real markets, CI techniques are also used in a similar way in the design process of multi-agent systems. Such systems, containing multiple software agents, often have some mechanism for coordination between the agents in the form of an economic game, like auctions, negotiations, or voting. More and more researchers develop either adaptive strategies by CI techniques or even simulate the entire markets to obtain good strategies.