Abstract: I would like to give a personal perspective of the scientific motivation and framing of SCIoI and relate them to the research of my lab, the Robotics and Biology
Rainer Mühlhoff and John-Dylan Haynes participated in a fishbowl discussion on predictive AI.
Abstract: We typically have a clear idea about the final design and functionality of a robot before we start building it. We apply this top-down design approach to a wide
Curiosity and information demand: how we can study them and why we should care A rapidly growing literature has recently emphasized the importance of our sense-making instincts, including complex investigative
Ecologically rational decision making How do we make inferences about a world full of uncertainty and given the mind’s natural bounds in computational abilities? I present a perspective according to
Abstract: Deep neural networks underlie many state of the art solutions to hard problems in computer vision, natural language processing or playing Go. Yet, their power comes with a price.
Abstract Most cognitive sciences (including AI) appeal to representations in explaining (or trying to create) systems capable of cognition, and especially of complex, intelligent behaviour. In philosophy, considerable attention has
The SCIoI Scientific Networking Days event is an internal retreat meant to establish scientific connections among the people and the projects in SCIoI. Through this event, we want to emphasize
Title: Perception in Motion Abstract: This is a talk on perception in two parts. Part one exemplifies the "movement" of the field of learning-based robot perception. Here, I will give
ABSTRACT: In many social systems, an individual’s role is reflected by its interactions with other members of the group. In many model organisms, and particularly in social insects, the patterns
Abstract: Swarms of insects, schools of fish and flocks of birds display an impressive variety of collective movement patterns that emerge from interactions among group members. These puzzling phenomena raise
Giovanni Pezzulo is a researcher at the Institute of Cognitive Sciences and Technologies, National Research Council in Rome, Italy. His research centers on the neuronal and computational mechanisms of predictive
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