Science

A new review explores the foundations of automated negotiation, from game theory to crafting intelligent agents capable of reaching mutually beneficial agreements.

New research reveals that algorithmic advice can subtly influence strategic decisions, potentially leading to unexpected coordination among competitors.

A new approach combines the reasoning power of artificial intelligence with time-series analysis to generate more accurate and explainable stock forecasts.

A new machine learning framework identifies misclassified plastic waste shipments by detecting unusual price-volume patterns, offering a powerful tool for regulatory agencies.

New research explores whether artificial intelligence can accurately replicate the complex expectation formation processes observed in real-world economic agents.

New research explores whether artificial neural networks trained on different stock indexes can identify shared patterns, offering insights into market efficiency.

Researchers are leveraging the power of diffusion models to more accurately predict implied volatility surfaces, offering improved risk management and option pricing capabilities.

A new web application leverages artificial intelligence to automate data analysis, making complex datasets more accessible and understandable.

A new approach combines generative artificial intelligence with causal graphs to accurately forecast how people will react to different scenarios and interventions.

New algorithms combine deep learning with game theory to achieve faster, more efficient play in complex, imperfect-information scenarios.