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Related papers: Learning Models of Individual Behavior in Chess

200 papers

AI-controlled characters in fighting games are expected to possess reasonably high skills and behave in a believable, human-like manner, exhibiting a diversity of play styles and strategies. Thus, the development of fighting game AI…

Artificial Intelligence · Computer Science 2021-08-10 Kaori Yuda , Shota Kamei , Riku Tanji , Ryoya Ito , Ippo Wakana , Maxim Mozgovoy

Gamification applies game mechanics to non-game environments to motivate and engage users. Artificial Intelligence (AI) offers powerful tools for personalizing and optimizing gamification, adapting to users' needs, preferences, and…

Human-Computer Interaction · Computer Science 2024-11-19 Carlos J. Costa , Joao Tiago Aparicio , Manuela Aparicio , Sofia Aparicio

There is a clear desire to model and comprehend human behavior. Trends in research covering this topic show a clear assumption that many view human reasoning as the presupposed standard in artificial reasoning. As such, topics such as game…

Artificial Intelligence · Computer Science 2022-05-16 Andrew Fuchs , Andrea Passarella , Marco Conti

Across a growing number of domains, human experts are expected to learn from and adapt to AI with superior decision making abilities. But how can we quantify such human adaptation to AI? We develop a simple measure of human adaptation to AI…

Human-Computer Interaction · Computer Science 2021-02-02 Minkyu Shin , Jin Kim , Minkyung Kim

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.…

Human-Computer Interaction · Computer Science 2025-03-21 Ho Chit Siu , Jaime D. Peña , Yutai Zhou , Ross E. Allen

Recent advancements in AI have accelerated the evolution of versatile robot designs. Chess provides a standardized environment for evaluating the impact of robot behavior on human behavior. This article presents an open-source chess robot…

Robotics · Computer Science 2025-04-07 Renchi Zhang , Joost de Winter , Dimitra Dodou , Harleigh Seyffert , Yke Bauke Eisma

Optimization of human-AI teams hinges on the AI's ability to tailor its interaction to individual human teammates. A common hypothesis in adaptive AI research is that minor differences in people's predisposition to trust can significantly…

Human-Computer Interaction · Computer Science 2023-07-28 Nikolos Gurney , David V. Pynadath , Ning Wang

We undertake a comprehensive and structured synthesis of the drivers of human behavior in cybersecurity, focusing specifically on people within organizations (i.e., especially employees in companies), and integrate key concepts such as…

Cryptography and Security · Computer Science 2026-03-10 Klaas Ole Kürtz

As Generative AI systems increasingly engage in long-term, personal, and relational interactions, human-AI engagements are becoming significantly complex, making them more challenging to understand and govern. These Interactive AI systems…

Computers and Society · Computer Science 2025-08-26 Yulu Pi , Cagatay Turkay , Daniel Bogiatzis-Gibbons

An increasing number of domains are providing us with detailed trace data on human decisions in settings where we can evaluate the quality of these decisions via an algorithm. Motivated by this development, an emerging line of work has…

Artificial Intelligence · Computer Science 2016-06-17 Ashton Anderson , Jon Kleinberg , Sendhil Mullainathan

Recent advances in large language models (LLMs) have enabled the development of AI agents that exhibit increasingly human-like behaviors, including planning, adaptation, and social dynamics across diverse, interactive, and open-ended…

Neurons and Cognition · Quantitative Biology 2025-06-13 Lin Chen , Yunke Zhang , Jie Feng , Haoye Chai , Honglin Zhang , Bingbing Fan , Yibo Ma , Shiyuan Zhang , Nian Li , Tianhui Liu , Nicholas Sukiennik , Keyu Zhao , Yu Li , Ziyi Liu , Fengli Xu , Yong Li

Understanding how people behave in strategic settings--where they make decisions based on their expectations about the behavior of others--is a long-standing problem in the behavioral sciences. We conduct the largest study to date of…

General Economics · Economics 2024-08-16 Jian-Qiao Zhu , Joshua C. Peterson , Benjamin Enke , Thomas L. Griffiths

Effective collaboration between humans and AI-based systems requires effective modeling of the human in the loop, both in terms of the mental state as well as the physical capabilities of the latter. However, these models can also open up…

Artificial Intelligence · Computer Science 2018-01-31 Tathagata Chakraborti , Subbarao Kambhampati

AI research in chess has been primarily focused on producing stronger agents that can maximize the probability of winning. However, there is another aspect to chess that has largely gone unexamined: its aesthetic appeal. Specifically, there…

Artificial Intelligence · Computer Science 2024-08-06 Kamron Zaidi , Michael Guerzhoy

We consider the problem of predicting human players' actions in repeated strategic interactions. Our goal is to predict the dynamic step-by-step behavior of individual players in previously unseen games. We study the ability of neural…

Computer Science and Game Theory · Computer Science 2019-11-11 Yoav Kolumbus , Gali Noti

Humans rely more and more on systems with AI components. The AI community typically treats human inputs as a given and optimizes AI models only. This thinking is one-sided and it neglects the fact that humans can learn, too. In this work,…

Human-Computer Interaction · Computer Science 2020-09-22 Johannes Schneider

AI agents designed to collaborate with people benefit from models that enable them to anticipate human behavior. However, realistic models tend to require vast amounts of human data, which is often hard to collect. A good prior or…

Machine Learning · Computer Science 2022-11-22 Mesut Yang , Micah Carroll , Anca Dragan

From sports to science, the recent availability of large-scale data has allowed to gain insights on the drivers of human innovation and success in a variety of domains. Here we quantify human performance in the popular game of chess by…

Physics and Society · Physics 2022-07-19 Sandeep Chowdhary , Iacopo Iacopini , Federico Battiston

Adaptive machines have the potential to assist or interfere with human behavior in a range of contexts, from cognitive decision-making to physical device assistance. Therefore it is critical to understand how machine learning algorithms can…

Artificial Intelligence · Computer Science 2023-05-03 Benjamin J. Chasnov , Lillian J. Ratliff , Samuel A. Burden

One of today's most significant societal challenges is building AI systems whose behaviour, or the behaviour it enables within communities of interacting agents (human and artificial), aligns with human values. To address this challenge, we…

Artificial Intelligence · Computer Science 2026-02-09 Nardine Osman , Mark d'Inverno