Results 41 to 50 of about 8,929,881 (196)

Supply Chain Management and Multiagent Systems: An Overview

, 2006
This chapter introduces the topic of this book by presenting the fields of supply chain management, multiagent systems, and the merger of these two fields into multiagent-based supply chain management.
Thierry Moyaux, Sophie D'Amours, Brahim Chaib-draa, Moyaux, Thierry, D'Amours, Sophie, Chaib-Draa, Brahim   +5 more
core   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Bipartite Consensus Control of Multiagent Systems on Coopetition Networks

Abstract and Applied Analysis, 2014
Cooperation and competition are two typical interactional relationships in natural and engineering networked systems. Some complex behaviors can emerge through local interactions within the networked systems.
Jiangping Hu
doaj   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Scaffolding critical thinking with generative AI: Design principles for integrating large language models in higher education

Computers and Education: Artificial Intelligence
The rapid adoption of Large Language Models (LLMs) such as GPT-4 and DeepSeek R1 is transforming learning in higher education, yet unstructured use can weaken critical thinking by encouraging cognitive offloading, metacognitive disengagement, and reduced
Mireia Vendrell, Samantha-Kaye Johnston
doaj   +1 more source

Stability Analysis of State Delay Multiagent Systems with Observer-Based Control Protocols

Journal of Mathematics, 2023
The consistency problem of multiagent systems with the output feedback and state delay was considered in this paper. First, the reduced-order observer based on the consensus protocol of state delay is designed, and the consensus protocol is proposed by ...
Xingmei Li, Shasha Deng, Yanhong Wang, Hongyong Deng   +3 more
doaj   +1 more source

Decentralized Bayesian reinforcement learning for online agent collaboration [PDF]

, 2012
Solving complex but structured problems in a decentralized manner via multiagent collaboration has received much attention in recent years. This is natural, as on one hand, multiagent systems usually possess a structure that determines the allowable ...
Farinelli, A., N. R. Jennings, G. Parr, W. T. L. Teacy, Teacy, W. T. L., Jennings, N.R., G. Chalkiadakis, Rogers, A., Parr, G., McClean, S., Jennings, N. R., Teacy, W.T.L., A. Farinelli, A. Rogers, S. Mcclean, Chalkiadakis, G.   +15 more
core  

Dynamic Obstacle Avoidance of Metamorphic Microrobots Using Concentric Sector Navigator

Advanced Intelligent Systems, EarlyView.
Metamorphic magnetic microrobots are navigated using a concentric sector navigator for dynamic obstacle avoidance in both microroller and swarm states. After microroller transport, citrate‐triggered dissolution releases nanoparticles that reassemble into a controllable swarm.
Zhaowen Su, Zerui Li, Lijun Fang, Hoyeon Kim, U Kei Cheang   +4 more
wiley   +1 more source

Consensus of Discrete Time Second-Order Multiagent Systems with Time Delay

Discrete Dynamics in Nature and Society, 2012
The consensus problem for discrete time second-order multiagent systems with time delay is studied. Some effective methods are presented to deal with consensus problems in discrete time multiagent systems.
Wei Zhu
doaj   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source