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Non-Player Characters and Artificial Intelligence

Non-Player Characters and Artificial Intelligence
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Author(s): Gonçalo Pereira (INESC-ID, Portugal & University of Lisbon, Portugal), António Brisson (INESC-ID, Portugal & University of Lisbon, Portugal), João Dias (INESC-ID, Portugal & University of Lisbon, Portugal), André Carvalho (INESC-ID, Portugal & University of Lisbon, Portugal), Joana Dimas (INESC-ID, Portugal & University of Lisbon, Portugal), Samuel Mascarenhas (INESC-ID, Portugal & University of Lisbon, Portugal), Joana Campos (INESC-ID, Portugal & University of Lisbon, Portugal), Marco Vala (INESC-ID, Portugal & University of Lisbon, Portugal), Iolanda Leite (INESC-ID, Portugal & University of Lisbon, Portugal), Carlos Martinho (INESC-ID, Portugal & University of Lisbon, Portugal), Rui Prada (INESC-ID, Portugal & University of Lisbon, Portugal)and Ana Paiva (INESC-ID, Portugal & University of Lisbon, Portugal)
Copyright: 2015
Pages: 27
Source title: Gamification: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-8200-9.ch024

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Abstract

Serious Games rely on interactive systems to provide an efficient communication medium between the tutor and the user. Designing and implementing such medium is a multi-disciplinary task that aims at an environment that engages the user in a learning activity. User engagement is significantly related to the users' sense of immersion or his willingness to accept the reality proposed by a game environment. This is a very relevant research topic for Artificial Intelligence (AI), since it requires computational systems to generate believable behaviors that can promote the users' willingness to enter and engage in the game environment. In order to do this, AI research has been relying on social sciences, in particular psychology and sociology models, to ground the creation of computational models for non-player characters that behave according to the users' expectations. In this chapter, the authors present some of the most relevant NPC research contributions following this approach.

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