IEEE

LLM-Based Multi-Agent System for Simulating and Analyzing Marketing and Consumer Behavior

Abstract: Simulating consumer decision-making is vital for designing and evaluating marketing strategies before costly realworld deployment. However, post-event analyses and rule-based agent-based ...
IEEE

Autonomous Deployment of Aerial Base Station Without Network-Side Assistance in Emergency Scenarios Based on Multi-Agent Deep Reinforcement Learning

Abstract: Aerial base station (AeBS) is a promising technology for providing wireless coverage to ground user equipment. Traditional methods of optimizing AeBS networks often rely on pre-known ...
InfoQ

Microsoft Agent Framework RC Simplifies Agentic Development in .NET and Python

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...