Publications

@inproceedings{bojic_interplay_2024,

title = {The Interplay of Social and Robotics Theories in AGI Alignment: Navigating the Digital City Through Simulation-based Multi-Agent Systems},

author = {L. Bojić and V. Ðapić},

editor = {Zdravkovic N. and Belgrade Tadeusa Koscuska 63 Belgrade Metropolitan University and Domazet D. and Tadeusa Koscuska 63 Belgrade Belgrade Metropolitan University and Lopez-Pernas S. and Yliopistokatu-2 Joensuu University of Eastern Finland and Conde M.A. and Leon Campus de Vegazana S/N University of Leon and Vijayakumar P.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193478708&partnerID=40&md5=6a9fd04d5bbf8b876ba508bef1c09076},

isbn = {16130073 (ISSN)},

year  = {2024},

date = {2024-01-01},

booktitle = {CEUR Workshop Proc.},

volume = {3676},

pages = {58–63},

publisher = {CEUR-WS},

abstract = {This study delves into the task of aligning Artificial General Intelligence (AGI) and Large Language Models (LLMs) to societal and ethical norms by using theoretical frameworks derived from social science and robotics. The expansive adoption of AGI technologies magnifies the importance of aligning AGI with human values and ethical boundaries. This paper presents an innovative simulation-based approach, engaging autonomous’digital citizens’ within a multi-agent system simulation in a virtual city environment. The virtual city serves as a platform to examine systematic interactions and decision-making, leveraging various theories, notably, Social Simulation Theory, Theory of Reasoned Action, Multi-Agent System Theory, and Situated Action Theory. The aim of establishing this digital landscape is to create a fluid platform that enables our AI agents to engage in interactions and enact independent decisions, thereby recreating life-like situations. The LLMs, embodying the personas in this digital city, operate as the leading agents demonstrating substantial levels of autonomy. Despite the promising advantages of this approach, limitations primarily lie in the unpredictability of real-world social structures. This work aims to promote a deeper understanding of AGI dynamics and contribute to its future development, prioritizing the integration of diverse societal perspectives in the process. © 2024 Copyright for this paper by its authors.},

keywords = {Artificial general intelligence, Artificial general intelligences, Autonomous agents, Decision making, Decision theory, Decisions makings, Human values, Intelligent Agents, Language Model, Large language model, large language models, Multi agent systems, Philosophical aspects, Robotic theory, Robotics, Robotics Theories, Simulation based approaches, Simulation platform, Simulation-Based Approach, Smart city, Social Theories, Social theory, Theoretical framework, Virtual cities, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}