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Exploring Artificial Intelligence in Videogames: An Application to the Didactic Paradigm “the Virtual Class”

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Artificial Intelligence with and for Learning Sciences. Past, Present, and Future Horizons (WAILS 2024)

Abstract

Artificial intelligence (AI) has transformed the world of videogames, making them more immersive and engaging experiences.

Many studies explore the multiple ways AI has revolutionized the world of videogames. AI’s ability to create more realistic and responsive non-player characters (NPCs) has made virtual worlds more immersive.

In addition to creating engaging game worlds, AI has contributed to the procedural design of levels and scenarios, reducing the workload of developers and ensuring greater variability. In this study, we aim to demonstrate how the use of AI is beneficial for creating new combinations of scenarios within our videogame “the virtual class”, a didactic paradigm to measure perspective taking ability. Using AI within our videogame allows to change environments and scenarios in a way that enhances spatial dynamism allowing children to change the strategies used to answer. This could lead to a new version of the videogame that emphasizes customization and enhances children’s engagement during the game.

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References

  1. Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach. Pearson (2009)

    Google Scholar 

  2. Seidel, S., Berente, N., Lindberg, A., Lyytinen, K., Martinez, B., Nickerson, J.V.: Artificial intelligence and video game creation: a framework for the new logic of autonomous design. J. Digital Soc. Res. 2(3), 126–157 (2020). https://doi.org/10.33621/jdsr.v2i3.46

  3. Yannakakis, G.N.: Game AI revisited. In: Proceedings of the 9th conference on Computing Frontiers - CF ’12, Cagliari, Italy, p. 285 (2012). https://doi.org/10.1145/2212908.2212954.

  4. Yue, B., de Byl, P.: The state of the art in game AI standardisation. In: Proceedings of the 2006 International Conference on Game Research and Development, pp. 41–46, Murdoch University (2006)

    Google Scholar 

  5. Straeubig, M.: Games, AI and Systems. Eludamos J. Comput. Game Cult. 10(1), Art. no. 1, Apr. 2020

    Google Scholar 

  6. Souchleris, K., Sidiropoulos, G.K., Papakostas, G.A.: Reinforcement learning in game industry-review, prospects and challenges. Appl. Sci. 13, 2443 (2023). https://doi.org/10.3390/app13042443

  7. Graham, J., Starzyk, J.A., Jachyra, D.: Opportunistic behavior in motivated learning agents. IEEE Trans. Neural Networks Learn. Syst. 26(8), 1735–1746 (2015). https://doi.org/10.1109/TNNLS.2014.2354400

    Article  MathSciNet  Google Scholar 

  8. Viola, ilaria, Lecce, A., Campitiello, L., Di Tore, S.: La Perspective taking e i meccanismi di codifica in ambiente virtuale. J. Inclusive Methodol. Technol. Learn. Teach. 2(1) (2022). Recuperato da https://inclusiveteaching.it/index.php/inclusiveteaching/article/view/8

  9. Juliani, A., Berges, V. P., Teng, E., Cohen, A., Harper, J., Elion, C., Lange, D.: Unity: a general platform for intelligent agents (2018). arXiv preprint arXiv:1809.02627

  10. Biçak, K.B.: An Evaluation of the Unity Machine Learning Agents Toolkit in Dense and Sparse Reward Video Game Environments (2021)

    Google Scholar 

  11. Kirsh, D.: The intelligent use of space. Artif. Intell. 73(1–2), 31–68 (1995). https://doi.org/10.1016/0004-3702(94)00017-U

    Article  Google Scholar 

  12. Berthoz, A.: La vicarianza. Codice, Torino (2013)

    Google Scholar 

  13. Mateas, M., Stern, A.: A behavior language for story-based believable agents. IEEE Intell. Syst. Their Appl. 17(4), 39–47 (2002)

    Article  Google Scholar 

  14. Sibilio, M.: La Didattica Semplessa. Liguori Editore, Napoli (2014)

    Google Scholar 

  15. Lake, B.M., Ullman, T.D., Tenenbaum, J.B., Gershman, S.J.: Building Machines That Learn and Think Like People, ArXiv160400289 Cs Stat, Nov. 2016, Accessed: Dec. 04, 2021

    Google Scholar 

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Correspondence to Veronica Beatini .

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Beatini, V., Campitiello, L., Di Tore, S., Sibilio, M. (2024). Exploring Artificial Intelligence in Videogames: An Application to the Didactic Paradigm “the Virtual Class”. In: Palomba, F., Gravino, C. (eds) Artificial Intelligence with and for Learning Sciences. Past, Present, and Future Horizons. WAILS 2024. Lecture Notes in Computer Science, vol 14545. Springer, Cham. https://doi.org/10.1007/978-3-031-57402-3_3

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  • DOI: https://doi.org/10.1007/978-3-031-57402-3_3

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