Artificial intelligence (AI) is a branch of computer science that deals with creating machines capable of imitating human intelligence. This is accomplished through the programming of complex algorithms, data collection and analysis or the use of neural networks. When it comes to the relationship between video games and geography, AI can be used to create more realistic and interactive game environments and, in general, it involves different forms of spatialities (virtual and symbolic). Additionally, AI can be used to tailor the gameplay experience to the player’s geographic location, offering specific content and challenges. From the perspective of cultural geography, the paper aims to propose some reflections on how AI can play an important role in cultural geography and create more spatialized, engaging and personalized gaming experiences able to integrate elements of real and virtual geography.

Spaces, Videogames and Artificial Intelligence: A Geographical Approach

De Pascale, Francesco
2023-01-01

Abstract

Artificial intelligence (AI) is a branch of computer science that deals with creating machines capable of imitating human intelligence. This is accomplished through the programming of complex algorithms, data collection and analysis or the use of neural networks. When it comes to the relationship between video games and geography, AI can be used to create more realistic and interactive game environments and, in general, it involves different forms of spatialities (virtual and symbolic). Additionally, AI can be used to tailor the gameplay experience to the player’s geographic location, offering specific content and challenges. From the perspective of cultural geography, the paper aims to propose some reflections on how AI can play an important role in cultural geography and create more spatialized, engaging and personalized gaming experiences able to integrate elements of real and virtual geography.
2023
9789819937332
9789819937349
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11389/54155
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