AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2024

Omirgaliyev, R.; Kenzhe, D.; Mirambekov, S.

Simulating life: the application of generative agents in virtual environments Proceedings Article

In: IEEE AITU: Digit. Gener., Conf. Proc. - AITU, pp. 181–187, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835036437-8 (ISBN).

Abstract | Links | BibTeX | Tags: Artificial intelligence, Artificial intelligence agent, Artificial Intelligence Agents, Autonomous agents, Behavioral Research, Behaviour models, Computational Linguistics, Decision making, Dynamics, Dynamics simulation, Economic and social effects, Game Development, Game environment, Language Model, Large language model, large language models, Modeling languages, Social dynamic simulation, Social dynamics, Social Dynamics Simulation, Software design, Virtual Reality, Virtual Societies

@inproceedings{omirgaliyev_simulating_2024,

title = {Simulating life: the application of generative agents in virtual environments},

author = {R. Omirgaliyev and D. Kenzhe and S. Mirambekov},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199876250&doi=10.1109%2fIEEECONF61558.2024.10585387&partnerID=40&md5=70f8b598d10bec13c39d3506a15534a1},

doi = {10.1109/IEEECONF61558.2024.10585387},

isbn = {979-835036437-8 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {IEEE AITU: Digit. Gener., Conf. Proc. - AITU},

pages = {181–187},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This research explores the innovative integration of Large Language Models (LLMs) in game development, focusing on the autonomous creation, development, and governance of a virtual village by AI agents within a 2D game environment. The core of this study lies in observing and analyzing the interactions and societal development among AI agents, utilizing advanced algorithms for generative behavior modeling and dynamic skill tree learning. These AI agents are endowed with human-like decision-making capabilities, enabled by LLMs, allowing them to engage in complex social interactions and contribute to emergent societal structures within the game. The uniqueness of this project stems from its approach to simulating lifelike social dynamics in a virtual setting, thus addressing a gap in existing research and marking a significant contribution to the interdisciplinary fields of artificial intelligence and game development. By comparing AI-generated societal behaviors with human social interactions, the study delves into the potential of AI to mirror or enhance human social structures, offering a fresh perspective on the capabilities of AI in game development. This research not only aims to push the boundaries of AI applications in game development but also seeks to provide valuable insights into the potential for AI-driven simulations in studying complex social and behavioral dynamics. ©2024 IEEE.},

keywords = {Artificial intelligence, Artificial intelligence agent, Artificial Intelligence Agents, Autonomous agents, Behavioral Research, Behaviour models, Computational Linguistics, Decision making, Dynamics, Dynamics simulation, Economic and social effects, Game Development, Game environment, Language Model, Large language model, large language models, Modeling languages, Social dynamic simulation, Social dynamics, Social Dynamics Simulation, Software design, Virtual Reality, Virtual Societies},

pubstate = {published},

tppubtype = {inproceedings}

}