Latest Articles for Decision Making

A clear look at causation and its functions in various contexts.

Large language models can enhance robotic pattern recognition and decision-making.

Research on creating effective strategies for systems operating under uncertainty.

This article explores the concept of conditional beliefs in decision-making among players.

This article explores strategy elimination in well-founded games to clarify outcomes.

A framework for reasoning about knowledge with limited depth.

Addressing fairness challenges in systems influenced by human preferences and behaviors.

This article examines the revision of beliefs through updated evidence.

A look at how beliefs adjust in light of new information.

A new approach to tackle optimistic bias in data-driven decision-making.

Examining how individual beliefs can merge into a collective consensus.

A systematic method to discover unforeseen risks and opportunities in various fields.

This article explores how ZDDs improve solving logic puzzles.

This article explores the concept of knowing how versus knowing that.

Explore how varying trust levels affect our beliefs.

Explore how MAIDs improve understanding of agent interactions in decision-making.

This article presents multi-fractional stochastic dominance for better choice evaluation.

Exploring the role of time horizon in understanding expert behavior.

Study reveals dynamics of player interactions and equilibrium in competitive environments.

A guide to effective decision-making through expert advice aggregation.

Explore how Shapley values clarify machine learning predictions in healthcare.

This article explores the link between feature attributions and counterfactual explanations in AI.

This article examines the trade-off between fairness and overall satisfaction in resource division.

Learn how to handle risk effectively in uncertain decision-making scenarios.

This study explores how conflicting explanations can improve trust in AI systems.

A look at average distortion in voting rules and its impact.

This study explores how cooperation emerges in repeated games through active inference.

Exploring efficient algorithms for decision-making in uncertain reward scenarios.

Examining heart rate changes in rats during gambling tasks sheds light on risky decision-making.

Exploring strategies for effective online decision-making and managing costs.

Discover efficient methods for active inference in challenging environments.

Examining how information sharing affects decision-making in multi-agent systems.

A new AI agent improves decision-making using dual-phase training.

Exploring how humans and AI handle decision-making feedback.

A method for discovering groups in labeled datasets with decision trees.

A new model for analyzing decision-making in competitive situations.

Exploring how false beliefs about opponents' goals affect decision-making in games.

REX enhances AI agents' decision-making by optimizing exploration and learning from actions.

A new approach to contextual bandits improves decision-making outcomes in various fields.

A look into decision modelling's role in enhancing data-driven choices.