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
Exploring swarm intelligence in fish and humans. As part of the “6 o’clock with SCIoI” talk series, scientists Pawel Romanczuk and Ralf Kurvers will explore swarm intelligence in fish and humans, investigating the role of single individuals and social interactions in collective decisions, also exploring when collectives make good decisions, and when they go wrong.
A talk about the relation between human and artificial intelligence. As part of the 6 o’clock with SCIoI series of talks, Michael Pauen will discuss the relation between human and artificial intelligence. The most advanced AI systems today try to drive cars, care for the elderly, read texts or play soccer – things that we
Artificial Intelligence: a philosophical, ethical and social overview. As part of the series “6 o’clock with SCIoI” series of talks within the Berlin Science Week, the panelists will discuss with the public about the philosophical, ethical and social issues raised by AI research and applications. Please visit the Berlin Science Week website to access the
Minimize Surprise in Robots: An Innate Motivation for Collective Behavior After a quick overview of other related research projects in my lab (bio-hybrid systems, swarm performance, collective decision-making), I will present our work on minimize surprise for multi-robot systems. Each robot has two artificial neural networks, a world model (“prediction machine”) and a behavioral module
Collective Information Processing - From Simple Flocking Models to Real Ecological Systems Abstract: Collective systems such animal groups or cellular ensembles represent fascinating examples of self-organization in biology. In contrast to non-living physical systems, self-organized biological collectives are results of long-term evolutionary adaptations to a specific ecological niche, where collective behavior provides evolutionary benefits to
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