Results 81 to 90 of about 1,721 (242)

Pure Nash Equilibria: Hard and Easy Games

Journal of Artificial Intelligence Research, 2003
We investigate complexity issues related to pure Nash equilibria of strategic games. We show that, even in very restrictive settings, determining whether a game has a pure Nash Equilibrium is NP-hard, while deciding whether a game has a strong Nash equilibrium is SigmaP2-complete.
Gottlob G, GRECO, Gianluigi, SCARCELLO, Francesco   +2 more
openaire   +8 more sources

From HBV to MASLD Cirrhosis: Mechanistic Insights and Therapeutic Strategies

Portal Hypertension &Cirrhosis, EarlyView.
This review examines the epidemiological shift from hepatitis B virus (HBV) to metabolic dysfunction‐associated steatotic liver disease (MASLD) as the leading cause of cirrhosis globally. It highlights the distinct pathogenic mechanisms between HBV and MASLD cirrhosis and discusses evolving diagnostic tools and therapeutic strategies tailored to the ...
Hanqi Yu, Hongfan Ding, Yang Huang, Haoze Cao, Yuan Ding, Weilin Wang   +5 more
wiley   +1 more source

A Logical–Computational Framework for Discovering Three-Player Games with Unique Pure Nash Equilibrium Payoffs

Mathematics
The Nash equilibrium is a central concept in game theory, widely used across economics, social sciences, computer science, and artificial intelligence. However, computing Nash equilibria, especially in multi-player games, is a complex and computationally
Jiajia Yang, Zhongtao Xie, Hongbo Hu, Xiang Du   +3 more
doaj   +1 more source

Nash equilibria in human sensorimotor interactions explained by Q-learning with intrinsic costs. [PDF]

Sci Rep, 2021
Lindig-León C, Schmid G, Braun DA.
europepmc   +1 more source

Uric Acid in Metabolic Dysfunction‐Associated Steatotic Liver Disease

Portal Hypertension &Cirrhosis, EarlyView.
MASLD is the most prevalent chronic liver disease worldwide, yet effective pharmacological treatments remain limited. Hyperuricemia is now recognized as a key driver of hepatic steatosis, inflammation, and fibrosis, with elevated serum uric acid levels independently predicting hepatocellular carcinoma and liver‐related mortality.
Rong Wang, Zhenyu Liu, Jun Lin, Weijing Zhang, Xianzhi Liu, Tong Zhang   +5 more
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang, Wenjie He, Qilie Liu, Qian Liu, Chao Huang, Anwar P. P. Abdul Majeed, Xiangguang Dai, Gang Fang, Xiaohua Xu   +8 more
wiley   +1 more source

Multi‐Agent Reinforcement Learning Driven Dynamic Resource Optimisation in Healthcare Transportation Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency module to capture complex spatiotemporal relationships in healthcare demand and resource allocation patterns, combined with centralised ...
Jianhui Lv, Byung‐Gyu Kim, Keqin Li, Heng Lu   +3 more
wiley   +1 more source

Resilience Enhancement Method for Rural Distribution Network Considering Lifeline Load Energy Demand via Hydrogen‐Integrated Energy Systems Under Extreme Cold Disasters

Energy Internet, EarlyView.
ABSTRACT In recent years, extreme cold disasters have occurred frequently worldwide. The security of rural distribution network is threatened. The current research on enhancing the resilience of distribution network fails to consider the changes in the operating characteristics and efficiency of equipment under extreme cold disasters.
Zhigang Zhang, Lu Zhang, Wei Tang, Yan Sun, Bo Zhang, Zongsheng Li   +5 more
wiley   +1 more source

Nonspecific Networking

Games, 2011
A new model of strategic networking is developed and analyzed, where an agent’s investment in links is nonspecific. The model comprises a large class of games which are both potential and super- or submodular games.
Philippe Solal, Hans Haller, Jacques Durieu   +2 more
doaj   +1 more source