AIMC Topic: Decision Making

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An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.

Scientific reports
Effective inpatient bed management is critical for optimizing healthcare resource utilization and ensuring high-quality patient care. The growing imbalance between bed capacity and patient demand underscores the need for robust, patient-centered prio...

A publicly available benchmark for assessing large language models' ability to predict how humans balance self-interest and the interest of others.

Scientific reports
Large language models (LLMs) hold enormous potential to assist humans in decision-making processes, from everyday to high-stake scenarios. However, as many human decisions carry social implications, for LLMs to be reliable assistants a necessary prer...

Wastewater surveillance studies on pathogens and their use in public health decision-making: a scoping review.

The Science of the total environment
This study provides a comprehensive overview of wastewater surveillance studies on pathogens, identifies key characteristics of studies that are associated with public health actions, and highlights the actions resulting from these studies. Many stud...

Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.

PloS one
E-commerce is a vital component of the world economy, providing people with a simple and convenient method for shopping and enabling businesses to expand into new global markets. Improving e-commerce decision-making by utilizing IoT and machine intel...

Biomimetic Neural Intelligent E-Skin System for Tactile Perception and Robotic Decision-Making.

ACS sensors
The widespread application of electronic skin (e-skin) in human-machine interaction necessitates intelligent and information-rich systems. However, the rapid and efficient deployment of e-skin for high-precision multisensor fusion remains a critical ...

Shapley value-driven multi-modal deep reinforcement learning for complex decision-making.

Neural networks : the official journal of the International Neural Network Society
Deep Reinforcement Learning (DRL) has made significant strides in addressing various sequential decision-making problems, particularly in domains such as game simulations and robotic control. However, substantial challenges arise when DRL is applied ...

Large language models and women's health: a digital companion for informed decision-making.

Archives of gynecology and obstetrics
The integration of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT, in gynecology and obstetrics has the potential to significantly transform patient care. These AI-driven tools provide continuous access to inform...

AI assessment changes human behavior.

Proceedings of the National Academy of Sciences of the United States of America
AI is increasingly replacing human decision-makers across domains. AI-based tools have become particularly common in assessment decisions, such as when recruiting employees or admitting students. Calls for transparency and new legislation require org...

Editor's view: Value of information in the 21st century - examples from science, medicine, policy, media, and markets.

Journal of global health
This editorial explores the concept of the 'value of information' in the 21st century through five distinct domains: science, medicine, policy, media, and markets. It uses examples to show that not all information is of equal value. Valuable informat...

Will the inclusion of AI anchors enhance the operational performance of live streaming e-commerce supply chains?

PloS one
With the rapid growth of the live streaming e-commerce market, traditional live streaming models are encountering mounting challenges, whereas the advent of artificial intelligence (AI) technology has breathed new life into live streaming. This paper...