Academic Articles & Research Papers

Conversational Multi-Agentic Network-Driven Disease Module Identification and Drug Repurposing Prediction With ChatDRex: Platform Development Study.

Fact construction as a missing layer in legal AI: a practice-grounded framework for evaluating multi-agent legal consultation.

System-Wide Trust (SWT) Versus Component-Specific Trust (CST) in Multi-Agent Human-Agent Teams: Individual Variability in Trust Bias.

Agent-based software engineering

The technology of intelligent agents and multi-agent systems is expected to alter radically the way in which complex, distributed, open systems are conceptualised and implemented. The paper considers the problem of building a multi-agent sy...

Consensus of Multi-Agent Systems With Piecewise Continuous Time-Varying Topology

This paper studies the consensus of multi-agent systems with piecewise continuous time-varying topology. The agents are assumed to have identical first-order linear dynamics, which their underlying communication topology is piecewise contin...

Research on the multi-agent motivation coupling evolution and synergy improvement for farmland ecological protection in China

The global ecology movement of the 1960s gave rise to international efforts to of farmland ecological protection. In these systematic, multi-agent projects, the long-term viability of farmland ecological protection rests significantly upon ...

Multi-Agent Systems for Traffic and Transportation Engineering

"This book aims at giving a complete panorama of the active and promising crossing area between traffic engineering and multiagent system addressing both current status and challenging new ideas" - Provided by publisher...

Application of a Novel Multi-Agent Optimization Algorithm Based on PID Controllers in Stochastic Control Problems

The article considers the problem of finding the optimal on average control of the trajectories of continuous stochastic systems with incomplete feedback. This class of problems includes control problems in which the initial states are desc...

Comment on “Equiprobability, Entropy, Gamma Distributions and Other Geometrical Questions in Multi-Agent Systems”, Entropy 2009, 11, 959-971

The volume of the body enclosed by the n-dimensional Lamé curve defined by Ʃni=1 xbi = E is computed....

Distributed Systems

Distributed Systems Comprehensive textbook resource on distributed systems—integrates foundational topics with advanced topics of contemporary importance within the field Distributed Systems: Theory and Applications is organized around thre...

Configuring distributed systems

Distributed systems are constructed from a set of computational components which are bound together to interact and communicate to achieve some over all objective. In this paper, we examine the issues related to system configuration, partic...

Supporting engagement, behavior change, and equitable self-management in menstrual and menopausal health: A multi-agent digital-health framework.

Large Language Models and the Elliott Wave Principle: A Multi-Agent Deep Learning Approach to Big Data Analysis in Financial Markets

Traditional technical analysis methods face limitations in accurately predicting trends in today’s complex financial markets. Meanwhile, existing AI-driven approaches, while powerful in processing large datasets, often lack interpretability...

Distributed Multi-Agent Deep Reinforcement Learning-Based Transmit Power Control in Cellular Networks

In a multi-cell network, interference management between adjacent cells is a key factor that determines the performance of the entire cellular network. In particular, in order to control inter-cell interference while providing a high data r...

Deployment optimization of laser chargers in self-organizing power transfer internet of things

Recently, the Internet of Things (IoT) has played an important role in many fields. Nevertheless, the fast and uneven energy consumption of IoT Devices (IoTDs) significantly limits the lifetime of IoT networks. One of the effective solution...

Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator

In recent years, reinforcement learning (RL) has been widely used to solve multi-agent navigation tasks, and a high-fidelity level for the simulator is critical to narrow the gap between simulation and real-world tasks. However, high-fideli...

Artificial Empathy and Imprecise Communication in a Multi-Agent System

This paper introduces a novel artificial intelligence model that integrates artificial empathy into the decision-making processes of collaborative agent systems. The existing models of collaborative behaviors, especially in swarm applicatio...

Unified Multimodal Information Flows for Immersive and Context-Aware 6G Systems

Communication is moving from being data-centric to being experience-centric and perception-aware with the advent of 6G wireless networks. Immersive applications such as digital twins, holographic telepresence, extended reality, tactile Inte...

Evolution of strategies in iterated games: a deep multi-agent reinforcement learning approach with hybrid genetic and CMA-ES optimization

The emergence of cooperation among self-interested agents in social dilemmas remains a central unsolved problem in evolutionary game theory, multi-agent systems, and behavioral science. While memory-one reciprocal strategies such as Tit-for...

Artificial intelligence in nanomedicine

The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic development. For example, nanoparticle-modified drug compounds and imaging agents have resulted in markedly enhanced treatment outcomes and co...