Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley +1 more source
Graph attention network-enhanced multi-agent reinforcement learning for dynamic interception task allocation in counter-drone defense. [PDF]
Jia D, Wang G, Bu H, Wang J, Wang Z.
europepmc +1 more source
This study integrates rice immune perception, signal transduction, and resistance output into a multi‐omics framework. By combining high‐throughput sequencing, phenomics, and AI‐assisted design with marker‐assisted selection, gene editing, and rapid domestication, we aim to accelerate the precise breeding of disease‐resistant rice varieties by ...
Xinyue Hou +4 more
wiley +1 more source
Personalized multi-agent reinforcement learning framework for adaptive chronic disease therapy management. [PDF]
Ahmad F, AlGhamdi R.
europepmc +1 more source
Beyond Probiotics: Postbiotics for Healthy Aquaculture
This critical review assesses limitations of probiotics and proposes postbiotics, preparations of inanimate microorganisms and their metabolites, as a more stable, controlled, and biosafe formulation. Postbiotics offer significant advantages during industrial aquafeed production and storage. However, their practical implementation is currently hindered
Michael Leonidas Chikindas +12 more
wiley +1 more source
Evolution of strategies in iterated games: a deep multi-agent reinforcement learning approach with hybrid genetic and CMA-ES optimization. [PDF]
Li S, Deb Nath A, Al-Amin MH.
europepmc +1 more source
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang +5 more
wiley +1 more source
Robust multi-agent reinforcement learning framework for intelligent PV-integrated smart energy systems under uncertainty. [PDF]
Arshad SB, Che Y, Ahmad A, Alaqil MA.
europepmc +1 more source
Multi‐Tissue Crosstalk Regulating Meniscus Healing Under Inflammation and Physiological Loading
Using a novel Meniscus‐on‐a‐chip (MoC) model integrated with a meniscus‐specific bioreactor, this study investigated the roles of multi‐tissue crosstalk that regulates injury, healing, and degeneration of the meniscus injury under inflammation and pathophysiological loading.
Hun Jin Jeong +5 more
wiley +1 more source
FairEdge360: Distributed Multi-Agent Reinforcement Learning for QoE-Fair 360° Video Streaming with Uncertainty-Aware Edge Coordination. [PDF]
Gallena Watthage RS, Fernando A.
europepmc +1 more source

