talks

Bringing modern features to classic multi-agent systems

October 21, 2026 · 13:30 – 15:30 · Pantanal Auditorium

About the talk

Multi-agent systems and MAS frameworks have been around for several decades. However, the advent of agents based on Large Language Models (LLMs) gives rise to a crossroads moment in the history of MAS, when LLMs and classic agents can work together to leverage the advantages of each approach. LLMs are currently changing how agents work, behave, and interact. But the integration between classic and LLM-based agents, together with updates to the mechanics and tools offered by MAS frameworks, can bring great strengths and alleviate several weaknesses currently existing in both branches of multi-agent systems. In this context, classic MAS frameworks need an update. In this talk I will touch on several advances that we have done in our team, moving towards modern architecture and features for MAS frameworks.

Speaker

Andrei Olaru

University Politehnica of Bucharest, Romania

Andrei Olaru is Associate Professor at the National University of Science and Technology POLITEHNICA Bucharest — previously University Politehnica of Bucharest, where he serves in the Computer Science Department within the Faculty of Automatic Control and Computers. His academic activity focuses on artificial intelligence, with particular interests in intelligent agents, multi-agent systems, context-aware computing, and machine learning. Olaru obtained his Ph.D. in 2011 through a double-diploma doctoral program between Politehnica Bucharest and Université Pierre et Marie Curie (Paris 6, now Sorbonne University). His doctoral research addressed the integration of context-awareness in multi-agent systems for ambient intelligence applications. He is the co-founder and coordinator of the Master’s program in Financial Computing at Politehnica Bucharest, developed since 2017 in collaboration with industry partners. His research work includes participation in national and European projects related to artificial intelligence, distributed systems, and trustworthy AI, being member of many labs and actively contributing to research initiatives addressing both theoretical and applied aspects of intelligent systems. Olaru is also a founding member of the Romanian Association for Artificial Intelligence (ARIA).

Beyond the Model: Architecting Agentic AI Systems

October 22, 2026 · 09:30 – 10:30 · Vila Bela Room

About the talk

Large Language Models (LLMs) are evolving from conversational interfaces into agentic systems that reason, use tools, maintain memory, specialize, and coordinate toward goals. This shift suggests that AI capability is shaped not only by model size, but also by how systems are architected. In this keynote, I will discuss the principles behind agentic AI and argue for the importance of building effective systems on top of smaller, open LLMs, reducing dependence on a few proprietary developers and/or providers while improving technological sovereignty, cost efficiency, transparency, and accountability. As a case study, I will present ARARA, a modular multi-agent framework for conversational recommender systems, and show how explicit specialization, memory, and governed coordination can improve robustness and effectiveness. The broader lesson is that the future of AI may depend as much on how we architect and harness intelligence as on how large we make LLM models.

Speaker

Prof. Dr. Marcelo da Silva Reis

UNICAMP

AAMAS Silver Jubilee: Where did we come from and where are we going?

October 19, 2026 · 17:00 – 18:00 · Vila Bela Room

About the talk

In 2026, the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) celebrates its 25th edition. Since its first edition in Bologna in 2002, the field has made remarkable progress, generating new models, paradigms, and distinct scientific perspectives, inspired by areas as diverse as computer science and engineering, social sciences, psychology, logics, economics, and management, among others. This presentation will provide an overview of the field's history, origins, main research topics, and its place within the current landscape of integrating Artificial Intelligence in the corporate and social world.

Speaker

Jaime Simão Sichman

USP

Jaime Simão Sichman is a Full Professor in the Department of Computer Engineering and Digital Systems at the Polytechnic School of the University of São Paulo (USP), Brazil. He holds bachelor’s and master’s degrees in Electrical Engineering from USP and a PhD in Computer Engineering from the Institut National Polytechnique de Grenoble, France, and completed postdoctoral research at Utrecht University, the Netherlands. His research focuses on multi-agent systems, particularly social and organizational reasoning, agent-based simulation, reputation, trust, and interoperability. He serves on editorial boards and organizes international conferences in the field. He was named an ACM Distinguished Speaker in 2012 and served on the IFAAMAS Board of Directors from 2018 to 2024.

Inteligência Artificial na Estratégia dos Negócios: Da Pesquisa Aplicada à Inovação

October 20, 2026 · 14:30 – 15:30 · Cerrado Auditorium

About the talk

Artificial Intelligence (AI) is playing a central role in transforming business models, creating new opportunities for innovation, operational efficiency and value creation. However, turning scientific advances into scalable technological capabilities and impactful solutions remains a significant challenge for organizations. This talk presents Itaú Unibanco’s research, development and innovation strategy, highlighting the role of the Itaú Institute of Science and Technology (ICTi) in connecting scientific research, technological development and AI applications in the financial sector. Through a “Research-to-Product” model, ICTi seeks to turn scientific knowledge and emerging technologies into foundational capabilities, combining frontier research, collaboration with universities, and the development of solutions driven by customers’ needs. The Institute’s main research missions will be presented. The presentation will also discuss mechanisms for collaboration with the academic ecosystem, talent development and the recognition of intellectual property as fundamental elements in sustaining innovation. Finally, it will explore concrete examples of transferring scientific knowledge to business applications, including the “ia.i” generative AI platform and “Laranjinha”, a payments solution with voice-based conversational AI. These cases illustrate how integrating applied research, engineering and business strategy can accelerate the responsible adoption of AI and contribute to building financial systems that are increasingly intelligent, secure and centered on customers’ needs.

Speaker

Eduardo R. Hruschka

Itaú

Eduardo R. Hruschka is Superintendent of Data Science at Itaú, where he led the creation of the Data Science area between 2016 and 2021. He also serves as a part-time professor in the Department of Computer Engineering at the Polytechnic School of the University of São Paulo (USP). Before returning to Itaú in 2025, he led the Artificial Intelligence area for Latin America at Google Cloud Consulting. His experience also includes leading the Data and Analytics area for South America at Ambev and serving as Chief Data Scientist at “Big Data”, a startup he co-founded that pioneered the use of data science to solve business problems. He earned his PhD in AI at COPPE/UFRJ and completed postdoctoral research at the University of Texas at Austin.

Talk BRACIS

EvidencIAJud: Inteligência Artificial Aplicada ao Apoio Decisório na Judicialização da Saúde

October 19, 2026 · 13:30 – 14:30 · Cerrado Auditorium

About the talk

A judicialização da saúde no Brasil é um fenômeno crescente no qual os tribunais são acionados para garantir demandas por medicamentos e/ou tratamentos, geralmente de alto custo, não cobertos pelo SUS (Sistema Único de Saúde) ou pela saúde suplementar. Peritos médicos elaboram pareceres técnicos específicos para cada caso contendo análises embasadas em evidências para eficácia, benefícios esperados e custos para fundamentar decisões judiciais que equilibrem as necessidades individuais do paciente e as restrições de recursos da sociedade. O EvidencIAJud é uma ferramenta de software assistida por IA que utiliza um fluxo de trabalho estruturado para automatizar a geração de relatórios preliminares, dando apoio a peritos médicos e juízes. O EvidencIAJud integra conhecimentos confiáveis de diversas fontes oficiais sobre os detalhes clínicos, regulatórios e de precificação de tratamentos autorizados para gerar análises de custo-benefício de alta qualidade para os relatórios. Atualmente, a ferramenta está em fase de avaliação por um grupo selecionado de juízes e médicos especialistas.

Speaker

Bruno Padilha

USP

Gestão de Memória e Contexto em Agentes Conversacionais de IA

October 19, 2026 · 14:30 – 15:30 · Cerrado Auditorium

About the talk

Os avanços recentes em modelos de linguagem permitiram criar agentes conversacionais de IA capazes de fazer tarefas longas, com várias etapas e várias ferramentas. Ao mesmo tempo, mostraram que decidir o que o agente lembra, esquece e coloca em seu contexto ainda é um problema científico e tecnológico em aberto. Nesta palestra, Marlesson Santana discute como esse problema aparece no desenvolvimento de agentes conversacionais em produção. Os temas incluem memória de curto e de longo prazo, a janela de contexto como recurso finito, compressão e sumarização de histórico, recuperação seletiva de informação e degradação da qualidade em conversas longas e com vários assuntos. A palestra parte da experiência prática com o Jus IA, o assistente de inteligência artificial jurídica do Jusbrasil. Ela mostra aplicações reais, como o uso de ferramentas de busca e análise de documentos, a continuidade de conversas ao longo do tempo e a avaliação sistemática da capacidade de memória dos agentes. Também discute oportunidades de pesquisa na fronteira entre academia e indústria.

Speaker

Marlesson Santana

Jusbrasil

Staff Machine Learning Engineer — Jusbrasil – linkedin.com/in/marlesson

Mecanismos de incentivo, fontes de financiamento e arranjos de parceria entre ICTs públicas, ICTs privadas e empresas

October 22, 2026 · 13:30 – 14:30 · Cerrado Auditorium

About the talk

A palestra abordará os mecanismos de incentivo à inovação, as principais fontes de financiamento para projetos de pesquisa, desenvolvimento e inovação (PD&I) e as oportunidades de captação de recursos. Serão apresentados modelos de parceria entre ICTs públicas, ICTs privadas e empresas, com foco na colaboração entre academia e setor produtivo. A apresentação será conduzida por Gabriella Nóbrega, Analista Sênior de PD&I do Instituto Hardware BR.

Speaker

Gabriella Nóbrega

HardwareBR

Gabriella Nóbrega, Analista Sênior de PD&I do Instituto Hardware BR, é Gestora Pública por formação, especialista em Gestão e Docência do Ensino Superior e Mestranda em Ciência da Informação pela Universidade de Brasília (UnB).

Talk