32 citations · 85 across the 9 of their papers we have counts for
10 papers
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…
Comparing Software Developers with ChatGPT: An Empirical Investigation
Nathalia Nascimento, Paulo Alencar, Donald Cowan
The advent of automation in particular Software Engineering (SE) tasks has transitioned from theory to reality. Numerous scholarly articles have documented the successful applicati…
A Reference Model for IoT Embodied Agents Controlled by Neural Networks
Nathalia Nascimento, Paulo Alencar, Donald Cowan +1
Embodied agents is a term used to denote intelligent agents, which are a component of devices belonging to the Internet of Things (IoT) domain. Each agent is provided with sensors…
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review
Giuliano Lorenzoni, Paulo Alencar, Nathalia Nascimento +1
Data scientists often develop machine learning models to solve a variety of problems in the industry and academy but not without facing several challenges in terms of Model Develop…
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…
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning
Nathalia Nascimento, Paulo Alencar, Carlos Lucena +1
Agent-based Internet of Things (IoT) applications have recently emerged as applications that can involve sensors, wireless devices, machines and software that can exchange data and…
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…
Software Engineers vs. Machine Learning Algorithms: An Empirical Study Assessing Performance and Reuse Tasks
Nathalia Nascimento, Carlos Lucena, Paulo Alencar +1
Several papers have recently contained reports on applying machine learning (ML) to the automation of software engineering (SE) tasks, such as project management, modeling and deve…
Engineering Cooperative Smart Things based on Embodied Cognition
Nathalia Moraes do Nascimento, Carlos Jose Pereira de Lucena
The goal of the Internet of Things (IoT) is to transform any thing around us, such as a trash can or a street light, into a smart thing. A smart thing has the ability of sensing, p…