Creativity and Intelligence in Brains and Machines
From Individuals to Societies
Chairs 2017: Luc Steels, Dieter Jaeger, Tarek Besold
designed by Maike Gerstenkorn ( http://mgerstenkorn.jimdo.com/)
The focus topic of the IK 2017 directs the attention to creativity and intelligence as prototypically human characteristics and capacities, investigating their role and importance for the individual but also for society as a whole.
Over the last years creativity has become the focus of numerous research projects and entire disciplines, ranging from investigations into the neural foundations of human creativity to Computational Creativity as attempted “computerization” of creative processes (or parts thereof). Creativity is usually conceptualized as sharing a close connection with intelligence, for instance in that the latter often is taken as a precondition of creativity. But creativity also is a necessarily social phenomenon: While creativity often starts out on an individual basis, and creative acts are ultimately implemented by individuals, society very often enables creativity to happen either in making creative individuals collaborate, or in emergently giving rise to a genuinely collective creative process.
Language serves as connecting thread between the topics creativity, intelligence, the individual, and society. Creativity and intelligence often manifest in language, and individuals and society rely on (different forms of) language as indispensable medium of communication.
Correspondingly, the IK 2017 will consider the mentioned topics from different theoretical as well as applied perspectives, offering courses clustered into four interwoven blocks:
Neuroscience – From Data to Theory and Back
Get involved! Make IK even more exciting with your poster or rainbow presentation. Click here to find out more.
Registration starts 7.11.2016 at 6 am. until February, 14, 2017
Reserve the date for the next exciting IK spring school:
10th-17th March, 2017
To go to the former webpage of IK click here: http://www.old.interdisciplinary-college.de
BC1 From Neurons to Behavior - Thinking like a Neuroscientist
Organisms as different as man and worm are able to interact with the surrounding world by perceiving sensory stimuli and reacting to them behaviourally. In this course, we will open the black box between stimulus input and behavioural output: The nervous system consists of surprisingly unreliable bu...Instructor:
Jutta KretzbergLearn More
BC2 Evolution and Genetic Engineering - Thinking like a Biologist
Nuria Conde-PueyoLearn More
BC3 From Brains to Robots - Thinking like an Engineer
Neurorobotics is the science of the tools and the theory required to establish an interdisciplinary experimental link between robotics and neuroscience through closed-loop neural embodiment for connecting simulated brain models to robotic bodies. At the core are robots controlled by simulated ...Instructor:
Florian RöhrbeinLearn More
BC4 Computational Cognitive Modeling – Thinking like a Computer Scientist
In this basic course, an introduction to computational modeling of cognitive processes is given. The focus is on higher cognition, mainly on reasoning and problem solving. And the introduced models and methods address modeling on the symbol/knowledge level.
Lecture 1: Short history of cognitive...
Ute SchmidLearn More
BC5 Analysing Language Data: Thinking like a Quantitative Linguist
Generalized additive mixed models (GAMMs) are an extension of the generalized linear mixed model that provides the analyst with a wide range of tools to model nonlinear functional dependencies in two or more dimensions (wiggly regression curves, wiggly regression surfaces and hypersurfaces).
Harald BaayenLearn More
MC1 From Deep Learning to Deep Reinforcement Learning: A quick introduction
The course will introduce some concepts of deep learning. We will discuss the difference between feedforward models and recurrent ones, optimization issues surrounding this non-convex functions, etc. Everything will be described in the framework of supervised learning, though unsupervised learning w...Instructor:
Razvan PascanuLearn More
MC2 Society as a Complex Network
Humans are strongly interdependent with others for most of their resources, knowledge and emotions. Cases in point are cooperation, conflict, happiness, depression, support, innovation, job-searching, voting, and health affecting behaviors. If social influences were just dyadic (from one person to a...Instructor:
Jeroen BruggemanLearn More
MC3 Coping with Data: Dimensionality Reduction
Michel VerleysenLearn More
MC4 Adaptive language grounding in robots: processing, learning and evolution
Natural language interaction between humans and robots (or more broadly autonomous intelligent systems such as self-driving cars) remains one of the biggest challenges of AI, mainly because it requires integration of sophisticated components for vision and motor control, speech, parsing and producti...Instructor:
Michael SprangerLearn More
MC5 Computational Creativity: Evolving Artistic Creativity
The course will provide an overall view of Computational Creativity both from a scientific and an engineerig perspective. It will include a condensed introduction to the main concepts and terminology, an overview of how the study of human creativity and nature influence the field, a formal cha...
Amilcar CardosoLearn More
PC1 Scientific Methods: Hands-on Research from Conceptualizing to Data Analysis
The sessions will deliver a crash course in scientific methods with a focus on human subject research by encouraging the swift exploration of new research ideas and hands-on learning of research methods and procedures. Research questions will target the suggested topic of “Creativity and Intellige...Instructor:
Jan SmeddinckLearn More
PC2 Deep Language Processing Using Construction Grammars
Remi van Trijp and Paul Van EeckeLearn More
PC3 Communicating science to non-expert audiences
Tobias MaierLearn More
SC1 Cooperative Music-Making and Musical Virtuosity
1. A Quick and Dirty Introduction to Musical Rhythm
2. What is Synchronization?
3. Music as Social Synchronization
4. Musical Virtuosity, a Solo Art(?)
This course will begin by introducing basic concepts of musical rhythm, with an emphasis on their percept...
Justin LondonLearn More
SC2 Computational Models of How People Make Stories
Humans are very good at perceiving events that have happened in the world and synthesizing them as stories that are easy to understand and interesting to follow. Indeed, such stories are one of the fundamental currencies for knowledge exchange in our culture, from literary master pieces to ordinary ...Instructor:
Pablo GervasLearn More
SC3 A.I. at the Movies: The Science and Fiction of Artificial Intelligence
Modern technologies, no matter how disruptive, rarely colonize virgin territories of the imagination. Rather, the creators of speculative fiction – whether cinematic, theatrical or literary – so often get there first, to establish the first beachheads in the popular psyche and to draft the...
Tony VealeLearn More
SC4 Neural and Behavioural Correlates of Creativity
Course content: (give an outline of what the course covers. If already foreseeable, ordered by sessions)
We will attempt to answer the following key questions:
What is creativity? – We start with the definition of creativity.
How can we measure it? – We introduce varieties o...
Joydeep BhattacharyaLearn More
SC5 Neural Engineering with Nengo
Course content: This course explores how to build behaving brains. That is, we will use the neural modelling software Nengo to define complex biologically realistic neural networks that are capable of performing tasks. These models can combine sensory systems, motor systems, memory, decision makin...Instructor:
Terry StewartLearn More
SC6 Modeling Neural Plasticity in Spiking Networks
One of the most fascinating properties of the brain is its capacity constantly to respond and adapt to its environment. It is widely assumed that learning and memory responsible for this process are implemented through changes in the strength of synaptic connections between neurons. Neural activity ...Instructor:
Julijana GjorgjievaLearn More
SC7 Brain-Machine Interfaces aka Brain-Computer-Interfaces
Aaron BatistaLearn More
SC8 Neural Biophysical Properties and Neural Computation
The remarkable abilities of our brain rely, at the core, on the coordinated activity of neurons in local networks. It is commonly assumed that functional computations are shaped by the way neurons are connected in networks. Properties of the neurons themselves, however, can vary widely and are speci...Instructor:
Susanne SchreiberLearn More
SC10 Evolution of Interaction and Meaning on the Web
The Web is a global arena of online communication and computation that evolves in novel, technologically mediated ways through massive-scale human and machine interaction. This course will introduce the main fundamental techniques that can be used to model systems where interaction and meaning evolv...Instructor:
Michael RovatsosLearn More
SC11 Language Dynamics: Models, Data and Experiments.
We will start by discussing the complex-systems approach to modelling and multi-agent models. Then we will focus on the study of the spontaneous emergence of consensus. We will address the case of simple linguistic conventions and survey different attempts to study them, ranging from modelling to da...Instructor:
Andrea BaronchelliLearn More
SC15 Probabilistic Models for Natural Language Processing
Mark SteedmanLearn More
SC9 Construction Grammar and Usage-Based Linguistics: Studying Language with Large Corpora
Session 1: An introduction to usage-based models of linguistic knowledge
Session 2: Construction Grammar: A network model of language
Session 3: Corpora in usage-based linguistics
Session 4: Psycholinguistic data in usage-based linguistics
Martin HilpertLearn More
SC12 Animal Social Dynamics, an Evolutionary Perspective
Jennifer FewellLearn More
SC13 Social Simulation Research: Modeling and Visualization of Opinion Dynamics
In this series of lectures I would like to introduce main concepts of social simulation research using examples from opinion dynamics modeling. Aspects covered in the lectures include systematic computations, validation, mathematical formalization, visualization and the integration of psychological ...Instructor:
Sven BanischLearn More
SC14 Digital Universities
In his famous ZEIT article from 2012 Heinz-Elmar Tenorth reflects (cf. http://www.zeit.de/2012/30/C-UniZukunft) about the role, which Massive Open Online Courses (MOOCs) could play in the university field. A couple of years later, neither the public nor educational science asks this disruptive quest...Instructor:
Sandra HofhuesLearn More
SC16 Online Participative Systems for Sustainability
- The environmental challenges we face
- The power of citizen science projects and participative systems
- Participative systems for social change
- The case of community-based food systems
Peter HanappeLearn More
ET1 Perception, knowledge and the brain: neurobiological aspects of epistemology.
Epistemology deals with the possibility of justified or “true” knowledge. There are many attempts to solve that problem. These range from critical realism claiming that humans are, at least within limits, capable of acquiring justified knowledge about the world, to skepticism denying that possib...Instructor:
Prof. Dr. Dr. Gerhard RothLearn More
ET2 How stress gets under the skin - molecular mechanisms of lasting effects of adverse life events
Elisabeth BinderLearn More
ET3 Digital Humanities: Challenges and Chances
Jonas KuhnLearn More