Abstract: The opacity of datasets poses a significant challenge to creating inclusive and intelligible machine learning (ML) systems. Various AI ethics initiatives have addressed this issue by proposing standardized dataset
Abstract: In our project, we explore the idea that complex, intelligent behavior can be generated by selecting from simple strategies in a smart way. In the first part, we will
Abstract: Collective dynamics play a crucial role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in collective intelligence or leads to false information
Under what conditions does a system behave intelligently? What meaning does the attribution of intelligent behavior to non-human systems carry? The event illustrates different perspectives from the philosophy of cognition
Who is Pepper? The humanoid robot we use in our labs helps us understand social interactions between robots and humans, and if it’s easy to see why that works so
Swarms, such as schools of fish, and flocks of birds, have shown a great capability of solving complex problems in nature. Such examples are bees finding the best nest site,
We constantly move our eyes, approximately three times per second, and even more if we search for something. We do this to place individual objects into the region where we
Together with the other six Berlin Clusters of Excellence, we are organizing a quiz night: the Excellent Pub Quiz! This event is expected to attract team players, puzzle enthusiasts, and
Using swarm optimization algorithms as heuristic solutions in various engineering problems, including the state estimation of nonlinear systems, has been an inspiration to me for my SCIoI project. We started
Consensus algorithms are routinely employed in a variety of multi-agent scenarios. They require that each agent iteratively evaluates a multivariate function of its neighbours’ information states. If a wireless communication channel
Abstract: The social structure and behaviour of organisms is highly divergent. How can this stunning diversity in nature be explained? I will argue that a few key principles are responsible
Abstract: Reinforcement learning has shown great success in controlling complex dynamical systems. However, when training a policy, most algorithms only consider a single objective function. While this may suffice in
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 77344
