CHAIR OF

COMPUTATIONAL

INTELLIGENCE

The students of the course Computational Intelligence in Games 2019 attended an internal competetion before getting ready for the international competition, which will take place at the IEEE International Conference on Games in August 2019 in London.

Special thanks to our sponsors RegioCom and AxeTrading.

Here some pictures of the event:

Professor Ray and Dr. Singh from UNSW visited SwarmLab. We had very good discussions about common research and future works: 

Our Team RobOtto got the 2nd place at WorldCup RoboCup@Work League which took place from 2 to 8 July in Sydney. Here some pictures:

Jens, Thomas and Sanaz attended the Kick Off Meeting of our newly accepted BMBF project in Nürnberg.

Dr. Annabel Latham from Manchester Metropolitan University, UK, is visiting us:

She will give a talk about: 

Automated Profiling of Individual Traits: Modelling Learning Styles with Oscar Conversational Intelligent Tutoring System

Use of computational intelligence methods for automated user profiling have been widely publicised recently following the Cambridge Analytica / FaceBook scandal, with implications for the ethics and governance of tracking data held on social media and other platforms. Debate over the validity of psychological models of personality and learning styles is not new, however adaptive and targeted online advertisements that rely on such models are big business. This talk explores the application of intelligent systems to user profiling in the online learning domain. It will describe research to develop methods for profiling individual traits in a learning context, introducing a Conversational Intelligent Tutoring System called Oscar and the experiments to automatically predict each individual learner’s preferred style in order to provide an adaptive learning experience. Using the Felder-Silverman model of learning styles, a set of typical behaviours is mapped to a set of variables to capture each learner’s behaviour during an adaptive conversational tutorial. The complexities of capturing data implicitly during a real-time tutoring conversation in a live teaching/learning environment will be discussed. A number of methods and algorithms (e.g. rule-based, MLP neural networks, decision trees, fuzzy decision trees) were applied to the behaviour dataset to determine the best predictions for each of the 4 dimensions of learning style, and for attribute selection to reduce time/complexity for application in real-time tutoring conversations.

SwarmLab opened the doors to the visitors on Saturday 25th May. We welcomed many visitors: 

https://wissenschaft.magdeburg.de/programm/ovgu/2149-wenn-sich-roboter-beim-fliegen-absprechen

Take a look inside SwarmLab:

The above movie has been prepared by the project FEMININ: https://www.hs-merseburg.de/hochschule/projekte/feminin/

We are starting a new project called DORIOT which is funded by the German Federal Ministry of Education and Research.

Together with our colleagues at the University of Magdeburg, University of applied sciences Bielefeld, AKKA DSO GmbH and Thorsis Thechnologies GmbH, we will work on a dynamic runtime environment for organic (dis) aggregating IoT processes: "German: Dynamische Laufzeitumgebung für organisch (dis-)aggregierende IoT-Prozesse". 

The project started in May 2019 and will finish in 2022. 

More information will be available soon. 

We are starting a new project called MOSAIK which is funded by the German Federal Ministry of Education and Research.

Together with our colleagues at the University of Erlangen, DFKI (German Research Center for AI), Robert BOSCH GmbH and NETSYNO Software GmbH, we will work on Methodologies for the self-organized aggregation of interacting components: "German: Methodik zur selbstorganisierten Aggregation interaktiver Komponenten". 

The project started in May 2019 and will finish in 2022. 

More information will be available soon. 

Our RoboCup team got the second place at the @Work League in GermanOpen 2019:

Sanaz gave a talk at Oslo Metropolitan University (OsloMet) for the Opening Ceremony of the AI-Lab:

Rudolf Kruse war die Co-Organizer von SYnENZ Symposium, die im Februar in Braunschweig stattgefunden hat. Im Rahmen des Symposiums wurde über Zusammenwirken von natürlicher und künstlicher Intelligenz und insbesondere die grundsätzliche rechtliche, ethische und anthropologische Probleme interdisziplinär diskutiert. Renommierte Wissenschaftler aus der Wissenschaft und Industrie haben daran teilgenommen und aktiv mutdiskutiert. Highlight des Symposiums waren die Vorträge von Professor Wolfgang Wahlster (DFKI) und Professor Andreas Kruse (Uni Heidelberg). Fakultät für Informatik der Otto-von-Guericke-Universtität war zusätzlich von Sanaz Mostaghim vertreten, die einen Vortrag über “Kooperation mittels Schwarmintelligenz” gehalten hat. Mehr Info: https://www.synenz.de

SYnENZ symposium took place on 14 and 15 February in Braunschweig. SYnENZ is about the cooperation between AI and natural Intelligence and the synergies coming out of this cooperation. The symposium was co-organized by Rudolf Kruse as one of the leading AI researchers in Germany. Computer Scientists, Philosophers and Lawyers were attending it to discuss about the future of AI. Sanaz gave a talk about Swarm Intelligence. 

More information: https://www.synenz.de

Xenija Neufeld receives the prestigious Eric Dybsand Scholarship for 2019: http://igdafoundation.org/scholarships/eric-dybsand-memorial-ai-scholarship/

http://igdafoundation.org/2019/02/gdc-2019-program-winners-announcement/

Xenija Neufeld, Doktorandin am Lehrstuhl Computational Intelligence, hat die "Eric Dybsand Memorial AI Scholarship” als Auszeichnung bekommen. Einmal im Jahr wird diese Auszeichnung von IGDA (International Game Developer Association) an KI-Wissenschaftler bzw. Doktoranden im Bereich Computerspiele vergeben. Mehr Info: http://igdafoundation.org/2019/02/gdc-2019-program-winners-announcement/

Alexander Dockhorn received the best presentation award at the doctoral symposium, 29th January 2019. Congratulations! 

Rudolf Kruse and his co-authors published a new article about Statistical Analysis and Machine Learning. This particular special issue of the most prestigious IEEE CI magazine, is dedicated to Lotfi Zadeh. 

Newsha Ghoreishi from University of Southern Denmark (SDU) visited our research group and presented her PhD topic: