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Abstract: "Serious Games are increasingly used as a tool for various applications contrary to the traditional enterta inment purpose. Many game engines are available, and Unity3D is another example that presents some features such as rapid prototyping and an easy learning curve. The 3D space where action takes place is sometimes hard to map into a logical memory structure providing flexible access to that information. The problem of tracking players ' path as well as their decision s in 3D environments arises when there is no previous knowledge of the scenario representation and the creation of a memory data structure poses an extra effort for the modeller. The proposed solution in this paper, albeit simple, is a straightforward way to track the location of the video game character and map it when he / she passes certain limits. Th is mechanism proved to represent a key step for ward, addressing the important issue of tracking the decision - making process of players for future analysis and behaviour elicitation."

"As research for a Ph.D. thesis, we propose to show that a layered Statechart-based AI is a suitable formalism for Game AI, enabling the use of model-driven development techniques such as reuse and high-level analysis including model-checking. The fundamentally modular nature of this approach leads naturally to reuse as a fundamental component of the design process. Supported by a clearly defined formalism, useful behavioural analyses become possible, such as testing reactions to various inputs at design time. We also explore transformations at the modelling level to enable procedural generation, allowing rapid deployment of varying AIs. Additionally, such a model allows for the generation of efficient code that can be directly inserted into games. Tool support for reuse, generation, and analysis will be developed, then employed in creating an industrial scale AI, proving that this formalism is appropriate for industrial use."