Latest Articles for Decision Making

A new method enhances multi-agent decision-making efficiency.

This study presents a system improving logical reasoning through explicit planning in language models.

New algorithms improve decision-making in environments with extreme rewards.

A guide on using belief functions for better decision-making under uncertainty.

DRO-RUM offers a robust framework for understanding individual choices under uncertain conditions.

An overview of the Multi-Armed Bandit problem and its applications.

Introducing a framework to generate realistic counterfactuals without detailed process knowledge.

New data-driven algorithm improves good arm identification efficiency.

Evaluating AI explanations requires clarity and accuracy, not just sounding reasonable.

New methods improve understanding of player strategies in complex environments.

Introducing MAG to improve coordination in multi-agent reinforcement learning.

Introducing SoftED metrics for better event detection evaluation.

Examining the impact of information on belief updating and decision quality.

A look into multi-armed bandits and their applications in decision-making.

This article explores the concept of 'knowing how' and its significance across various disciplines.

A look at how CTMDPs and RL optimize decisions in uncertain environments.

A new method for teaching machines through example-based learning.

This article discusses enhancing decision-making in human-sensor systems using quantum decision theory.

A look into how AI models provide explanations for their decisions.

Study reveals how basal forebrain neurons impact decision-making and smell recognition.

RDF enhances decision-making in changing environments, improving machine learning adaptability.

A new method using RNNs for hypothesis testing in unknown environments.

Researchers develop an algorithm to estimate decision-making factors in competitive settings.

A new model aids decision-making by efficiently managing treatment combinations.

This article explores distributionally robust optimization and its statistical properties.

Examining how choices evolve in social dilemmas with uncertainty.

A new approach to expand rankings while ensuring consistency through transformations.

A new system optimizes decision-making through personalized support tailored to individual needs.

A study on how individuals make decisions amidst uncertainty using graphical methods.

Learn how paraconsistent logic aids in decision-making amidst contradictions.

A look at how machines learn decision-making under uncertainty.

Learn how paraconsistent logic helps manage contradictions in reasoning.

Learn how shared information affects decision accuracy in groups.

A new method combines learning systems for improved decision-making and clarity.

A new method simplifies complex calculations in parametric Markov models.

DIALITE streamlines finding and analyzing open data tables for better insights.

A guide to making sense of contradictory accounts and arriving at conclusions.

A study on effective selection methods for resource allocation based on individual investment.

A look into the complex world of multiobjective bilevel optimization.

A new method helps agents make safer decisions in uncertain environments.