Results 141 to 150 of about 84,081 (310)
Taxation and stability in cooperative games
Cooperative games are a useful framework for modeling multi-agent behavior in environments where agents must collaborate in order to complete tasks. Having jointly completed a task and generated revenue, agents need to agree on some reasonable method of ...
Polukarov, Maria +3 more
core
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 +3 more
wiley +1 more source
Stochastic Cooperative Games in Insurance and Reinsurance
This paper shows how problems in `non life'-insurance and `non life'-reinsurance can be modelled simultaneously as cooperative games with stochastic payoffs.Pareto optimal allocations of the risks faced by the insurers and the insureds are determined.It ...
Borm, P.E.M. +2 more
core
Evolution of Physical Intelligence Across Scales
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 +7 more
wiley +1 more source
In the present research, the agent's choice to leave or join a cooperative is modeled to be a function of alternative investment opportunities and choices made by other agents who are faced with an identical set of possible strategies. Once the agent has
Bond, Jennifer Keeling
core
Cooperative Games with Incomplete Information: Some Open Problems [PDF]
This is a brief survey describing some of the recent progress and open problems in the area of cooperative games with incomplete information. We discuss exchange economies, cooperative Bayesian games with orthogonal coalitions, and issues of cooperation ...
Roberto Serrano, Francoise Forges
core
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
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
In the context of increasing market uncertainty and the integration of blockchain technology in low-carbon markets, this research investigates supply chain coordination between manufacturers and remanufacturers, focusing on price competition and carbon ...
Liu-wei Zhao, Shuai Jin
doaj +1 more source
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
Bargaining Set Solution Concepts in Dynamic Cooperative Games
This paper is concerned with the question of defining the bargaining set, a cooperative game solution, when cooperation takes place in a dynamic setting.
Hellman, Ziv
core

