64-455 Seminar Bio-Inspired Artificial Intelligence

Course offering details

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 held entirely online. The courses will be entirely virtual. Registered participants will receive further details via STiNE messages prior to begin of the lecture.

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.

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.
Further literature related to the topics will be provided within the seminar.

Appointments
Date From To Room Instructors
1 Th, 14. Oct. 2021 10:15 11:45 Digital Tom Weber; Prof. Dr. Stefan Wermter
Exams in context of modules
Module (start semester)/ Course Exam Date Instructors Compulsory pass
Class session overview
  • 1
Instructors
Prof. Dr. Stefan Wermter
Tom Weber