—The Theory of Incongruity is a theory in psychology that states that people create mental concepts about the world in two forms/concepts such as the context and system complexity. The researchers presents an adaptive A.I in which it interacts with a real person and incorporates the theory in order to monitor how the user feels while playing or interacting with the A.I. Two algorithms will be utilized in order to achieve the desired adaptability of the A.I. namely, dynamic scripting and case base reasoning. The goal of the study is to create an A.I. that will be able to react fast and adapt to real human players based on how they feel or what they think regarding the decisions made by the A.I. This study aims to give a player a more thrilling and exciting experience thus, improving the quality of entertainment games provide. The study also focuses on pulling the gamer up the scale in order to improve his skills in game. Giving the player a chance to win by scaling his current skill level but still targeting in the end to win makes the adaptive A.I. more fun to interact with and prove to give a positive reaction or experience to the gamer.
—Adaptive artificial intelligence, games, theory of incongruity, dynamic scripting.
R. A. Sagum is with the faculty of Engineering University of Santo Tomas Philippines (e-mail:firstname.lastname@example.org) K.N. Francisco, J. L. Ruste, Y. S. Song, and D. S. Sy are with the University of Santo Tomas (e-mails: email@example.com, Paulo_bluelake92@yahoo.com, firstname.lastname@example.org, email@example.com)
Cite: Kevin N. Francisco, Johann-Paulo L. Ruste, Ria A. Sagum, Yun Seop Song, and Darl Sander G. Sy, "Incongruity Theory Applied in Dynamic Adaptive Game Artificial Intelligence," International Journal of Future Computer and Communication vol. 2, no. 5, pp. 499-504, 2013.