PI Lecture

Visual perception is shaped by the input from our physical environment and by expectations derived from our sensory experience with the visual world. But is what we see also influenced by higher cognitive capacities such as memories, language, semantic knowledge or (true or false) beliefs? And if so, what are the consequences on how we

Abstract: Oliver Brock will talk about these five things: 1) Is intelligence non-decomposable? 2) Does intelligence require multiple computational paradigms? 3) To neuroscience or not to neuroscience? 4) A principle of intelligence? 5) It's all about the prior Each section will be followed by Q&A&D. The Zoom Link will be sent the day before the

Abstract: Oliver Brock will continue exploring about these five things: 1) Is intelligence non-decomposable? 2) Does intelligence require multiple computational paradigms? 3) To neuroscience or not to neuroscience? 4) A principle of intelligence? 5) It’s all about the prior The Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)

Abstract Actions affect perception directly and in multiple ways, exerting their influence (1) by modifying parts of the external world, (2) through internal processes accompanying movement preparation, and (3) through the sensory consequences of moving the sensory surface itself (i.e., in vision, the retina). To understand these influences, psychology and neuroscience have long recognized the

Reasoning (or planning, rational decision making) seems a core aspect of intelligence -- but what exactly does that mean? If we observe clever behavior in an animal, can we claim it is based on reasoning? And doesn't the success of deep RL show us that we (as engineers) do not need reasoning? I'll discuss reasoning

Abstract: More than three decades ago, it was proposed that certain natural systems can be viewed as self-organized critical systems, which self-tune themselves to special regions in parameter space close to so-called critical points, where the behavior of a system exhibits a qualitative change at the macroscopic scale, i.e. it undergoes a phase transition. Over

 ABSTRACT: Central theories of learning in human agents emphasize that the quality of instruction and interaction between agents is of high importance for effective knowledge transfer. On the other side, within-agent characteristics such as a certain level of emotion and motivation is required to participate in social interactions. Consequently, the interplay between characteristics of social

Abstract: In the cognitive-, behavioral- or neuro-sciences we often match a computational model to observations and then, analyzing the model, hope to find results that generalize to the underlying system. With deep neural networks (DNNs) quite powerful function approximators are available that can be fitted to huge data sets, accelerated by cheap hardware and elaborate

What's on a mouse's mind? Behavioral measures to understand experiences and needs of an animal Lars Lewejohann, Freie Universität Berlin, German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R) Mice, as all other living creatures, have adapted to specific living conditions in the course of evolution. From a

"Harnessing machine learning to model biological systems" Abstract: Classically, models of biological systems follow two different approaches. In bottom-up approaches, biological data are used to constrain a phenomenological model of the system in question, and the model is the studied to identify potential functions or potential consequences of the observations that flow into the model.

One fundamental difference between human and non-human animals is the ability of humans to instantaneously implement instructed behaviour. While other animals acquire new behaviour via effortful trial-and-error learning or extensive practice, humans can implement novel behaviour based on instructions. This ability is presumably a key aspect of cultural learning. In my talk, I will discuss

More details to follow.