Abstract
The goal of this work is to design and implement an agent which generates hints for a player in a first person shooter game. The agent is a computer-controlled character which collaborates with the player to achieve the goal of the game. Such agent uses state of the art reasoning techniques from the area of artificial intelligence planning in order to come up with the content of the instructions. Moreover, it applies techniques from the area of natural language generation to generate the hints. As a result the instructions are both causally appropriate at the point in which they are uttered and relevant to the goal of the game.
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Benotti, L., Bertoa, N. (2011). Content Determination through Planning for Flexible Game Tutorials. In: Batyrshin, I., Sidorov, G. (eds) Advances in Artificial Intelligence. MICAI 2011. Lecture Notes in Computer Science(), vol 7094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25324-9_30
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DOI: https://doi.org/10.1007/978-3-642-25324-9_30
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