Results 71 to 80 of about 5,693,469 (294)
New Axiomatizations and an Implementation of the Shapley Value [PDF]
Some new axiomatic characterizations and recursive formulas of the Shapley value are presented. In the results, dual games and the self-duality of the value implicitly play an important role.
Kongo, T., Tijs, S.H., Funaki, Y.
core
Expected Shapley Value is Shapley Value for Expected Utility Game
The Shapley value provides a principled framework for attributing marginal contributions to players in coalitional games. While its axiomatic fairness guarantees have made it a cornerstone of value distribution in economics and multi-agent systems, recent computational advances have extended its applicability to data-driven domains.
Pratik Karmakar +2 more
openaire +2 more sources
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Blockchain-enabled game-theoretic framework for supply chain finance under information asymmetry [PDF]
Purpose: The purpose of this paper is to develop a blockchain-enabled game-theoretic framework that addresses information asymmetry in Supply Chain Finance (SCF). The study aims to model strategic interactions among SCF participants and assess the impact
Yuchuan Bao +4 more
doaj +1 more source
Charging and Discharging Scheduling for Electrical Vehicles Using a Shapley-Value Approach
The number of electric vehicles (EV) in the world has been increasing and is gaining momentum. The large-scale use of EVs in public life has initiated the need to establish EV battery charging services within the power system.
Marija Zima-Bockarjova +3 more
doaj +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
Explainable AI: Efficiency Sequential Shapley Updating Approach
Shapley value-based explainable AI has recently attracted significant interest. However, the computational complexity of the Shapley value grows exponentially with the number of players, resulting in high computational costs that prevent its widespread ...
Ovanes Petrosian, Jinying Zou
doaj +1 more source
An Ordinal Shapley Value for Economic Environments [PDF]
We propose a new solution concept to address the problem of sharing a surplus among the agents generating it. The sharing problem is formulated in the preferences-endowments space.
David Wettstein, David Pérez-Castrillo
core
Machine learning‐guided strain engineering enables highly active, durable, support‐free Pt–Ni nanonetwork catalysts for the oxygen reduction reaction. Analysis of a Pt‐based catalyst dataset identifies surface compressive strain as an effective descriptor associated with enhanced activity and provided practical design guidelines.
Aparna Chitra Sudheer +4 more
wiley +1 more source
Implementation of the Ordinal Shapley Value for a three-agent economy [PDF]
We propose a simple mechanism that implements the Ordinal Shapley Value (Pérez-Castrillo and Wettstein [2005]) for economies with three or less agents.Ordinal Shapley Value, implementation, mechanism ...
David Wettstein, David Pérez-Castrillo
core +2 more sources

