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相关论文: Collective Intelligence Outperforms Individual Tal…

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Multiplayer online battle arena games provide an excellent opportunity to study team performance. When designing a team, players must negotiate a \textit{proficiency-congruency dilemma} between selecting roles that best match their…

人机交互 · 计算机科学 2015-12-29 Jooyeon Kim , Brian C. Keegan , Sungjoon Park , Alice Oh

We consider clustering player behavior and learning the optimal team composition for multiplayer online games. The goal is to determine a set of descriptive play style groupings and learn a predictor for win/loss outcomes. The predictor…

社会与信息网络 · 计算机科学 2015-03-10 Hao Yi Ong , Sunil Deolalikar , Mark Peng

Complex systems show the capacity to aggregate information and to display coordinated activity. In the case of social systems the interaction of different individuals leads to the emergence of norms, trends in political positions, opinions,…

物理与社会 · 物理学 2016-04-25 Toni Pérez , Jordi Zamora , Víctor M. Eguíluz

Recent advances in Artificial Intelligence have produced agents that can beat human world champions at games like Go, Starcraft, and Dota2. However, most of these models do not seem to play in a human-like manner: People infer others'…

人工智能 · 计算机科学 2020-08-03 Terence X. Lim , Sidney Tio , Desmond C. Ong

Team communication plays a vital role in supporting collaboration in multiplayer online games. Therefore, numerous studies were conducted to examine communication patterns in esports teams. While non-verbal communication has been…

人机交互 · 计算机科学 2025-12-24 Yongchan Son , Jahun Jang , Been An , Jimoon Kang , Eunji Park

In the past decade, we have witnessed the rise of deep learning to dominate the field of artificial intelligence. Advances in artificial neural networks alongside corresponding advances in hardware accelerators with large memory capacity,…

神经与进化计算 · 计算机科学 2022-03-11 David Ha , Yujin Tang

League of Legends (LoL) is the most widely played multiplayer online battle arena (MOBA) game in the world. An important aspect of LoL is competitive ranked play, which utilizes a skill-based matchmaking system to form fair teams. However,…

机器学习 · 计算机科学 2021-08-09 Tiffany D. Do , Seong Ioi Wang , Dylan S. Yu , Matthew G. McMillian , Ryan P. McMahan

With the prospect of autonomous artificial intelligence (AI) agents, studying their tendency for cooperative behavior becomes an increasingly relevant topic. This study is inspired by the super-additive cooperation theory, where the…

人工智能 · 计算机科学 2025-08-22 Filippo Tonini , Lukas Galke

Digital games have become a key player in the entertainment industry, attracting millions of new players each year. In spite of that, novice players may have a hard time when playing certain types of games, such as MOBAs and MMORPGs, due to…

人工智能 · 计算机科学 2017-06-12 Victor do Nascimento Silva , Luiz Chaimowicz

Independent from the still ongoing research in measuring individual intelligence, we anticipate and provide a framework for measuring collective intelligence. Collective intelligence refers to the idea that several individuals can…

人工智能 · 计算机科学 2013-07-01 Michel Halmes

Why do collectives outperform individuals when solving some problems? Fundamentally, collectives have greater computational resources with more sensory information, more memory, more processing capacity, and more ways to act. While greater…

神经元与认知 · 定量生物学 2025-09-11 Charlie Pilgrim , Joe Morford , Elizabeth Warren , Mélisande Aellen , Christopher Krupenye , Richard P Mann , Dora Biro

This paper investigates the factors fostering collective intelligence (CI) through a case study of *LinYi's Experiment, where over 2000 human players collectively controll an avatar car. By conducting theoretical analysis and replicating…

多智能体系统 · 计算机科学 2025-01-23 Dekun Wang , Hongwei Zhang

Both offline and online human behaviors are affected by personality. Of special interests are online games, where players have to impersonate specific roles and their behaviors are extensively tracked by the game. In this paper, we propose…

人机交互 · 计算机科学 2019-05-22 Zhao Wang , Anna Sapienza , Aron Culotta , Emilio Ferrara

We seek measurable properties of AI agents that make them better or worse teammates from the subjective perspective of human collaborators. Our experiments use the cooperative card game Hanabi -- a common benchmark for AI-teaming research.…

人机交互 · 计算机科学 2025-03-21 Ho Chit Siu , Jaime D. Peña , Yutai Zhou , Ross E. Allen

We develop a network of Bayesian agents that collectively model the mental states of teammates from the observed communication. Using a generative computational approach to cognition, we make two contributions. First, we show that our agent…

人机交互 · 计算机科学 2023-03-29 Samuel Westby , Christoph Riedl

The main intreest of this study was to investigate the phenomenon of collective intelligence in an anonymous virtual environment developed for this purpose. In particular, we were interested in studiyng how dividing a fixed community in…

社会与信息网络 · 计算机科学 2016-09-21 Federica Stefanelli , Enrico Imbimbo , Franco Bagnoli , Andrea Guazzini

We report the results of a game-theoretic experiment with human players who solve the problems of increasing complexity by cooperating in groups of increasing size. Our experimental environment is set up to make it complicated for players…

MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose grand challenges to AI systems such as multi-agent, enormous state-action space, complex action control, etc. Developing AI for playing MOBA games has raised much…

The field of collective intelligence studies how teams can achieve better results than any of the team members alone. The special case of human-machine teams carries unique challenges in this regard. For example, human teams often achieve…

人机交互 · 计算机科学 2025-03-11 David Shoresh , Yonatan Loewenstein

Cooperation is a fundamental social mechanism, whose effects on human performance have been investigated in several environments. Online games are modern-days natural settings in which cooperation strongly affects human behavior. Every day,…

社会与信息网络 · 计算机科学 2019-08-22 Anna Sapienza , Palash Goyal , Emilio Ferrara
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