Enhancing accuracy and interpretability in EEG-based medical decision making using an explainable ensemble learning framework application for stroke prediction
Medical decision making increasingly relies on machine learning algorithms to analyze
complex patient data and provide recommendations. However, the lack of interpretability in …
complex patient data and provide recommendations. However, the lack of interpretability in …
An Intelligent Decision Support System Based on Multi Agent Systems for Business Classification Problem
The development of e-systems has given consumers and businesses access to a plethora of
information, which has complicated the process of decision making. Document classification …
information, which has complicated the process of decision making. Document classification …
Knowledge synthesis of intelligent decision techniques applications in the AECO industry
Intelligent decision techniques (IDTs) have been increasingly applied to support (or even
replace) decision-makers to make accurate decisions, such as supplier selection and …
replace) decision-makers to make accurate decisions, such as supplier selection and …
Cooperative defense of autonomous surface vessels with quantity disadvantage using behavior cloning and deep reinforcement learning
S Sun, T Li, X Chen, H Dong, X Wang - Applied Soft Computing, 2024 - Elsevier
Abstract Autonomous Surface Vessels (ASVs) excel at undertaking hazardous tasks,
garnering significant attention recently. Particularly, ASV cooperative defense is a crucial …
garnering significant attention recently. Particularly, ASV cooperative defense is a crucial …
[PDF][PDF] Role of artificial intelligence in enhancing efficiency of accounting information system and non-financial performance of the manufacturing companies
The current study launched from the main objective of examining the impact of artificial
intelligence (AI) and its role in supporting and improving the efficiency of AIS on one hand …
intelligence (AI) and its role in supporting and improving the efficiency of AIS on one hand …
Exploring the effect of artificial intelligence intellect on consumer decision delegation: The role of trust, task objectivity, and anthropomorphism
J Song, H Lin - Journal of Consumer Behaviour, 2024 - Wiley Online Library
This study examines the impact of AI intelligence levels on consumer decision delegation
through three experimental studies. Study 1 manipulates AI intelligence levels (low vs. high) …
through three experimental studies. Study 1 manipulates AI intelligence levels (low vs. high) …
Automated Negotiation-Preliminary results of a systematic map** study
Automated negotiation is a process of autonomously overcoming conflicts between
intelligent agents and achieving agreement. The literature has proposed several …
intelligent agents and achieving agreement. The literature has proposed several …
An architecture for ethics-based negotiation in the decision-making of intelligent autonomous systems
In this new ideas paper, we give an architectural description of a novel ethics-based
negotiation approach in which autonomous systems utilize users' ethical profiles to control …
negotiation approach in which autonomous systems utilize users' ethical profiles to control …
QFuture: Learning Future Expectation Cognition in Multi-Agent Reinforcement Learning
B Liu, Z Pu, Y Pan, J Yi, M Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In multi-agent reinforcement learning (MARL), agents must learn to cooperate by observing
the environment and selecting actions that maximize their rewards. However, this learning …
the environment and selecting actions that maximize their rewards. However, this learning …
Using fuzzy cognitive maps to evaluate the innovation in micro, small and medium-sized enterprises
Purpose This article presents a fuzzy cognitive map for the evaluation of innovation in
organizations. Design/methodology/approach The purpose of this paper is to develop a …
organizations. Design/methodology/approach The purpose of this paper is to develop a …