Abstract: Learning - here defined as knowledge acquisition and behavioral changes caused by experiences - is a central prerequisite for the development of humans, animals, and some artificial agents. Against
More than an actual talk, this will be an informal exchange on the theme of "A potential paradigm shift in vision search." Active participation is warmly welcomed. This is an
With research in machine learning (ML) and natural language processing (NLP), we aim to give machines the ability to understand and use human language. In this talk, I give a
Patients suffering from schizophrenia are less susceptible to various perceptual illusions (and to some hallucinations, too) than most healthy individuals. Yet, schizophrenia patients’ perception-forming processes have been characterised as aberrant,
Reward-based Learning and Decision Making under Risk Reinforcement learning provides a framework for making agents learn policies through feedback signals (“rewards”), which provide information about whether their actions or action
Abstract: Research in robotics and A.I. aims at optimizing very specific task rewards. Intelligent animals have a high degree of curiosity, and recent results have shown that instrumental reward optimization
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.
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 77344
