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Fig. 1.
Virtual objects in Wonders of Seabed. Top, from left to right: resident area and
commercial area. Bottom: agricultural area and administrative area. In the residential
area, there are sphere-like objects which are agents. We have implemented the caustics
effect [12] (i.e., brighter regions) to enhance the attractiveness of the scene.
4 Evaluation Method Using Neural Network
We integrate a neural network with our game system. We apply the neural
network to evaluate the game diculty level based on the players' current per-
formance. Then, our system would adjust the game diculty level to suit for the
players' expectation (see Fig. 3). We hope by doing so that the players would
enjoy in playing this kind of management games. While a player develops the
virtual city, he/she only knows the outcomes of the city. There are five outcomes
of the city in each month. They are stated as follows:
1. money earned in this month? (an integer)
2. is 'economic recession' event happening? (a boolean)
3. is 'messy' event happening (a boolean)
4. is 'happy citizen' event happening (a boolean)
5. is 'wrong policy' event happening (a boolean)
Thus, we use these five outcomes and pass them as inputs to the neural
network. We use the neural network to evaluate the expected achievement of the
player which reflects the game diculty level with respect to the player. There
are four output of the neural network which are: 1) tax, 2) maintenance fee, 3)
celebration fee, and 4) human resource fee.
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