32 citations · 85 across the 9 of their papers we have counts for
4 papers · 1 filter
GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems
Nathalia Nascimento, Paulo Alencar, Donald Cowan
This paper introduces the "GPT-in-the-loop" approach, a novel method combining the advanced reasoning capabilities of Large Language Models (LLMs) like Generative Pre-trained Trans…
Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems
Nathalia Nascimento, Paulo Alencar, Donald Cowan
In autonomic computing, self-adaptation has been proposed as a fundamental paradigm to manage the complexity of multiagent systems (MASs). This achieved by extending a system with…
Testing Self-Organizing Multiagent Systems
Nathalia Nascimento, Carlos Lucena, Paulo Alencar +1
Multiagent Systems (MASs) involve different characteristics, such as autonomy, asynchronous and social features, which make these systems more difficult to understand. Thus, there…
Machine Learning-based Variability Handling in IoT Agents
Nathalia Nascimento, Paulo Alencar, Carlos Lucena +1
Agent-based IoT applications have recently been proposed in several domains, such as health care, smart cities and agriculture. Deploying these applications in specific settings ha…