64-454 Lecture Bio-Inspired Artificial Intelligence

Course offering details

Instructors: Prof. Dr. Stefan Wermter

Event type: Lecture

Displayed in timetable as: BAI - VL

Hours per week: 2

Credits: 3,0

Language of instruction: English

Min. | Max. participants: - | 60

Comments/contents:
The courses will be held entirely online. 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, and learning as well as through interaction between individuals within a society. This lecture covers novel and exciting bio-inspired intelligent systems. They range on the one hand from cellular systems up to sophisticated hybrid systems, and on the other hand from evolutionary up to interactive learning systems. The main focus is on methods, which are inspired by biological or human abilities and their application in computational systems and humanoid robots.
Topics are:
• Cellular systems
• Evolutionary systems
• Processing in brain-inspired spiking neural architectures
• Fuzzy systems
• 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 lecture is to gain a deeper understanding of the scientific investigation and utilisation of intelligent system behaviour in nature by:
• Learning of principles of biological intelligent strategies
• Critical analysis of relevant characteristics
• Implementation into computer models in intelligent systems and robots

Didactic concept:
Based on biological theories and neuroscientific evidence the lecture will cover bio-inspired artificial intelligent systems and their modelling. Therefore in particular the development of bio-inspired computer models for problems such as automated development, agent communication as well as image- and language processing will be discussed. Moreover an appreciation for bio-inspired representations which are significant for computational modelling will be established. In the accompanying integrated seminar we will also cover practical utilisations and applications.

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.

Additional examination information:
Binding requirement: Lecture and seminar ´Bio-Inspired Artificial Intelligence’ can be selected exclusively either as module InfM-BAI or as part of the module Integrated Application Subject Neuro-Informatics (not to be used twice).

Examination for module InfM-BAI in written form
Examination for module InfM-NI1 in oral form.

Appointments
Date From To Room Instructors
1 Th, 14. Oct. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
2 Th, 21. Oct. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
3 Th, 28. Oct. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
4 Th, 4. Nov. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
5 Th, 11. Nov. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
6 Th, 18. Nov. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
7 Th, 25. Nov. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
8 Th, 2. Dec. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
9 Th, 9. Dec. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
10 Th, 16. Dec. 2021 10:15 11:45 Digital Prof. Dr. Stefan Wermter
11 Th, 6. Jan. 2022 10:15 11:45 Digital Prof. Dr. Stefan Wermter
12 Th, 13. Jan. 2022 10:15 11:45 Digital Prof. Dr. Stefan Wermter
13 Th, 20. Jan. 2022 10:15 11:45 Digital Prof. Dr. Stefan Wermter
14 Th, 27. Jan. 2022 10:15 11:45 Digital Prof. Dr. Stefan Wermter
Exams in context of modules
Module (start semester)/ Course Exam Date Instructors Compulsory pass
Class session overview
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Instructors
Prof. Dr. Stefan Wermter