TDT22 - Complex and Biologically-Inspired Systems (2017).

Faglśrer: Gunnar Tufte
Students: List

Description: 'The whole is more than the sum of its parts', Aristotle

Complex systems are systems where the collective behavior of their parts entails emergence of properties that can hardly, if not at all, be inferred from properties of the parts. Examples of complex systems include ant-hills, ant themselves, human economies, climate, nervous systems, cells and living things, including human beings, as well as modern energy or telecommunication infrastructures.

This course will cover theory and some important aspects related to the modeling and analysis of complex systems. This knowledge will be useful also in your real life and at work. It will complete your top-down engineering skills with unconventional bottom-up techniques.

Keywords: Complex Systems, Unconventional Computation, Cellular Computation, Sparsely Connected Networks, Cellular Automata, State Space, Basin of Attraction, Boolean Networks, Emergent Properties, Biologically-Inspired Methods, Neural Networks, Agent-Based Models, Swarm, Evolution, Development, Life Universe and Everything.

Structure: Lectures are orginized as discussions on selected scientific publications. The students are ekpected to read the set of selected publications given before each meeting and come up with at least one topic for discussion for each paper.

Syllabus 2017: (DATES)

6/10 Friday 10:15 - 12:00 (454 IT-Vest) Complex System
1: Bar-Yam, The Dynamics of Complex Systems - Examples, Questions, Methods and Concepts
2: Heylighen, The Science of Self-Organization and Adaptivity

20/10 Friday 14:15 - 16:00 (054 IT-Vest) Cellular Machines
3: Sipper, The Emergence of Cellular Computing
4: Mitchell, Life and Evolution in Computers
5: Gershenson, Introduction to Random Boolean Networks

30/10 Monday 14:15 - 16:00 (454 IT-Vest) Reservoir Computing
6: Schrauwen et.al., An overview of reservoir computing: theory, applications and implementations
7: Jensen, Reservoir Computing with a Chaotic Circuit

13/11 Monday 14:15 - 16:00 (454 IT-Vest) Morphogenetic Engineering
8: Kumar, An introduction to computational development (1.4 is just an example, no detailed knowledge needed)
9: Tufte, From Evo to EvoDevo: Mapping and Adaptation in Artificial Development
10: Doursat, A Review of Morphogenetic Engineering

27/11 11:00 13:00 (454 IT-Vest) Summary

Slides from 27/11

1st of December Exam (454 IT-Vest) 9:00

Additional reading only if you are interested (not part of syllabus):
Yao, Evolving Artificial Neural Networks
Baranger, Chaos, Complexity, and Entropy. A Physics Talk for Non-Physicists
Bar-Yam, Complexity Rising: From Human Beings to Human Civilization, a Complexity Profile

Editor: Gunnar Tufte  Contact address: Gunnar tufte   Page updated: 27 11 2017