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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

MimicA: A Framework for Self-Learning Companion AI Behavior

February 1, 2023

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Authors

Travis Angevine,Foaad Khosmood

California Polytechnic State University (Cal Poly),California Polytechnic State University (Cal Poly)


DOI:

10.1609/aiide.v12i2.12908


Abstract:

We explore fully autonomous companion characters within the context of Real Time Strategy games. Non-player Characters that are controlled by Artificial Intelligence to some degree, have been a feature of Role Playing games for decades. But RTS games rarely have a player avatar, and thus no real companions. The universe of RTS games where both an avatar and a companion character exist is small. Most friendly RTS units are semi-autonomous at best, requiring player micromanagement of their behavior. We present MimicA, a real-time framework to govern AI companion behavior by modeling that of the current player. Built for the Unity engine, MimicA is a learn-by-demonstration framework that differs from existing practices in that the behavior is fully autonomous, does not rely on previous modeling exercises and is designed to be generalized and extensible. We analyze and discuss MimicA through a thirty person user study with our own demonstration game, Lord of Towers. We find that 22 out of 30 participants (73%) indicate they enjoyed the game, and this self-reported enjoyment was on par with “traditional tower defense games”. 63% agree that MimicA controlled NPCs are doing what the player would do while 20% disagree. Similarly, 53% realize the NPCs are learning from the player while 20% do not. We also show that NPC with underlying Decision Tree and Naive Bayes algorithms are better than KNN in making the player realize the learning nature of the NPC.

Topics: AIIDE

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HOW TO CITE:

Travis Angevine,Foaad Khosmood MimicA: A Framework for Self-Learning Companion AI Behavior Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2016) 122-128.

Travis Angevine,Foaad Khosmood MimicA: A Framework for Self-Learning Companion AI Behavior AIIDE 2016, 122-128.

Travis Angevine,Foaad Khosmood (2016). MimicA: A Framework for Self-Learning Companion AI Behavior. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 122-128.

Travis Angevine,Foaad Khosmood. MimicA: A Framework for Self-Learning Companion AI Behavior. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 2016 p.122-128.

Travis Angevine,Foaad Khosmood. 2016. MimicA: A Framework for Self-Learning Companion AI Behavior. "Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment". 122-128.

Travis Angevine,Foaad Khosmood. (2016) "MimicA: A Framework for Self-Learning Companion AI Behavior", Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, p.122-128

Travis Angevine,Foaad Khosmood, "MimicA: A Framework for Self-Learning Companion AI Behavior", AIIDE, p.122-128, 2016.

Travis Angevine,Foaad Khosmood. "MimicA: A Framework for Self-Learning Companion AI Behavior". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016, p.122-128.

Travis Angevine,Foaad Khosmood. "MimicA: A Framework for Self-Learning Companion AI Behavior". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, (2016): 122-128.

Travis Angevine,Foaad Khosmood. MimicA: A Framework for Self-Learning Companion AI Behavior. AIIDE[Internet]. 2016[cited 2023]; 122-128.


ISSN: 2334-0924


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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