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 which the decision maker is equipped with a repertoire of strategies, containing both simple heuristics and more complex strategies that are adaptive under different ecological
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. Deep networks transform inputs gradually into outputs, using many parameters and intermediary activations. Understanding what a network has learned, how inputs are mapped to outputs,
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 been dedicated to the problem of explaining in scientifically-acceptable ways how representations come to represent what they do. In contrast, there has been much less
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 the importance of establishing scientific connections among SCIoI researchers and promote in-depth scientific discussions and exchanges. During the retreat, the SCIoI executive board will evaluate
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 one example for increasing structural assumptions and one for decreasing them based on our work on differentiable mapping and differentiable resampling. Part two takes the
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 of actions and interactions among individuals are not static but constantly evolving over time. This can be due to the emergence or demise of certain
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 a variety of questions about the interaction rules that govern the coordination of individuals’ motion and the emergence of large-scale patterns. While numerous models have
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 processing, goal-directed behaviour, and the sensorimotor foundations of higher cognition. Human sensorimotor communication during human joint action: experimental and computational perspectives During online social interactions,
As part of the “6 o’clock with SCIoI” talk series within the Berlin Science Week 2020, Prof. Alex Kacelnik will take us on a fascinating journey through the understanding of intelligence in humans, animals and robots. Please visit the Berlin Science Week website to access the event. https://falling-walls.com/event/are-we-more-like-we-think-they-are-or-are-they-more-like-we-think-we-are/
Abstract: Animals are equipped with a rich innate repertoire of sensory, behavioral and motor skills, which allows them to interact with the world immediately after birth. At the same time, many behaviors are highly adaptive and can be tailored to specific environments by means of learning and exploration. In this work, we use mathematical analysis
What's on a mouse's mind? Behavioral measures to understand animal’s experiences and needs Lars Lewejohann, Freie Universität Berlin, German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R) Abstract: Mice, as all other living creatures, have adapted to specific living conditions in the course of evolution. From our human
The more we learn about AI, the more we may wonder what this tells us about our own intelligence. As part of the “6 o’clock with SCIoI” series of talks within the Berlin Science Week, Marc Toussaint will talk about how AI research often raises interesting questions about our own human intelligence. The more AI
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