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Instructors: Tom Weber; Prof. Dr. Stefan Wermter
Event type:
Seminar
Displayed in timetable as:
BAI - Sem
Hours per week:
2
Credits:
3,0
Language of instruction:
English
Min. | Max. participants:
- | 60
More information:
Notice: Seminar will run accompanying the lecture with a presentation block in the end of the lecture period. First meeting takes place within the first lecture.
Comments/contents:
The courses will be entirely virtual. Details will be released on the Knowledge Technology webpage: https://www.inf.uni-hamburg.de/en/inst/ab/wtm/teaching.html
Nature, biology and cognition have already solved simple and complex problems in natural forms of computing. Intelligence emerges from cells, individual embodiment, as well as through interaction between individuals in a society. This seminar offers a focused and research-related insight into bio-inspired artificial intelligent systems. The topics follow the lecture but are indicative:
• Cellular systems
• Evolutionary systems
• Processing in brain-inspired spiking neural architectures
• Bio-inspired vision
• Neuro-cognitive sound and language processing
• Collective systems and swarm intelligence
• Interaction modelling for cognitive robotics and bio-inspired robotics
Learning objectives:
The objective of this seminar is to analyse critically and present research topics from the field of bio-inspired artificial intelligence.
Didactic concept:
The integrated seminar complements the lecture Bio-Inspired Artificial Intelligence and offers the opportunity to discuss specific topics in-depth. During the seminar each participant will give a talk and write an evaluating paper on a selected topic. The evaluating paper on a selected topic can either analyse existing research or describe the design and implementation of an own bio-inpired artefact (e.g. an insect controller, a swarming flock simulation, a humanoid robot task). More details will be given at the first meeting.
Literature:
Initial literature:
• Floreano, D., Mattiussi, C. Bio-inspired Artificial Intelligence: Theories, Methods, and Technologies. MIT Press, 2008.
• Eberhart, R.C., Shi, Y. Computational Intelligence: Concepts to Implementations. Elsevier/Morgan Kaufmann, 2007.
Weitere Literatur wird themenbezogen im Seminar zur Verfügung gestellt.
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