Latest Articles for Decision Making

A new approach to string optimization enhances performance in decision-making tasks.

This study examines how people make strategic decisions based on others' choices.

A new tool for easy causal analysis using data without deep expertise.

A look at fuzzy filters and their importance in handling uncertainty.

Introducing DREA, a new algorithm for finding reliable solutions in optimization.

How differing views affect decision outcomes in complex situations.

Understanding how we balance mental energy in choices.

Multi-objective reinforcement learning manages competing goals for better decision-making.

A look into how naming affects probability in family scenarios.

A look at how AI agents can remain safe across different settings.

Exploring methods to understand multiple experts' motivations in decision-making.

A new method for creating scoring systems that address multiple classes effectively.

Examining how restarting tasks can lead to faster completion times.

This paper analyzes how AI influences human decisions in various fields.

This article discusses expected Shapley-like scores for evaluating contributions in probabilistic databases.

This work studies how second opinions influence AI use in decision-making.

Exploring statistical depth methods for fuzzy data and their applications.

This study highlights the importance of variability in cognitive processes using advanced modeling techniques.

Examining how random sets and belief functions affect decision-making in various fields.

Exploring the dynamics and strategies of Rabin games in decision-making systems.

Examining how voting systems can thrive despite challenges.

Every choice carries energy costs and impacts the world around us.

Examining sample complexity in stochastic programming with heavy-tailed distributions.

Discover how the brain predicts outcomes and manages uncertainties in decision-making.

Exploring methods for fair resource and task distribution based on preferences.

A look into how argument scoring shapes decision-making and discussions.

This work discusses natural strategies and probabilistic logics for multi-agent systems.

Examining the Gibbard-Satterthwaite Theorem’s impact on fair voting.

Research reveals how the ACC influences reward-based choices and learning.

This article explores LLM confidence and user perceptions.

Examining methods to compute with noisy data across various functions.

How perception shapes decisions in automated systems.

A new framework for understanding agent interactions with resource constraints.

A new method reduces unnecessary calculations in SSPs, speeding up decision-making.

This study focuses on improving decision-making under uncertainty using submodular maximization.

A deep dive into the world of CSPs and their solutions.

A new framework aims to ensure equity in GNN predictions.

This article examines how causality influences choices and outcomes in decision-making.

A framework to understand our reliance on AI in decision-making.

Integrating risk considerations into reinforcement learning enhances decision-making safety.