Developing computer simulation games incorporates different computing aspects such as computer graphic, artificial intelligence, simulation itself, software engineering, etc. This paper is focusing on building intelligence into business simulation games by embedding intelligent agents into its software. Agents are proposed to generate simulation scenarios; define initial conditions of the game and/or respond to players' decisions by changing an economical environment according to the goals set by a game leader, and the agent's behavioural rules. Other applications of intelligent agents such as when an agent simulates a tutor or acts as a virtual player are also discussed in the paper.
This paper is devoted to scenario development methodology for planning and management of business simulation games. Nowadays the high efficiency of simulation games as a training method is obvious. Requirements to this kind of training are increasing. Modern computer technologies allow developing complex simulation games that are close to real life conditions. Generation of game scenarios is not a trivial problem; besides, management of such complex games requires some formal approach.
This paper presents basic principles of a scenario approach application to the problem of optimal development of social economic systems. The formalized description of scenario of system sustainable development is introduced and synergetic and attractive scenarios are examined. The modes providing stable and safe development of social economic system are investigated for synergistic scenarios, however for attractive scenarios it is the control purpose. Scenario design example based on the use of the social economic system development model represented by signed the graph language are given. Formal methods of such scenarios development, the "Object-subject" method and the method of base scenarios, are proposed.
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