A carregar...
Publicação
Controllability of real and artificial agents
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 28.71 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
"Recent advancements across multiple fields have led to the develop-
ment of computational tools and models designed to understand, con-
trol, and replicate complex behaviors in both biological and artificial
systems. These efforts leverage artificial intelligence, mathematical
modeling, and control theory to address challenges such as modeling
collective behavior, tracking animal movement, and controlling neu-
ral dynamics, each of which contributes to a deeper understanding
of intricate systems. This thesis discusses three projects that exem-
plify these approaches, each addressing distinct but interconnected
challenges in understanding and controlling complex systems.(...)"
Descrição
Palavras-chave
Animal Collective Behaviour; Spiking Neural Networks Optimal Control Theory Reinforcement Learning; Deep Learning Multi object tracking