Results 121 to 130 of about 130,998 (245)

Game Refinement Theory and Its Application to Score Limit Games

Game Refinement Theory and Its Application to Score Limit Games
This paper presents an application of game refinement theory to score limited sport games badminton and table tennis, in order to observe the effect of recent rule changes on their sophistication. We apply the game refinement measure of information from world class tournaments.
openaire  

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Potential Maximization and Coalition Government Formation [PDF]

A model of coalition government formation is presented in which inefficient, non-minimal winning coalitions may form in Nash equilibrium. Predictions for five games are presented and tested experimentally.
Amnon Rapoport, Cheng-Zhong Qin, James E. Parco, Rod Garratt   +3 more
core  

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

An application of game refinement theory in popular activities

An application of game refinement theory in popular activities
Supervisor: 飯田 弘之 先端科学技術研究科 修士 (情報科学) identifier:https://dspace.jaist.ac.jp/dspace/handle/10119 ...
openaire  

Game Refinement Theory and Multiplayer Games: Case Study Using UNO

Game Refinement Theory and Multiplayer Games: Case Study Using UNO
Game refinement theory has started to provide some interesting tools to measure sophistication of board games, sport games, and video games. In this paper, we apply game refinement theory to UNO(R) card game, from which we identify valuable aspects regarding multiplayer and incomplete information game.
openaire  

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector

Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley   +1 more source