TDT22 - Complex and Biologically-Inspired Systems (2018).

Faglærer: 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 2018: (DATES)

5/10 Friday 10:15 - 12:00 (454 IT-Vest) Complex System
Gunnar Tufte: aprox 30 min. Intro to unconventional computation related to complexity and bio-inspiration
1: Bar-Yam, The Dynamics of Complex Systems - Examples, Questions, Methods and Concepts
2: Heylighen, The Science of Self-Organization and Adaptivity
3: Sipper, The Emergence of Cellular Computing

18/10 Thursday 10:15 - 12:00 (454 IT-Vest) Dynamic, complexity and networks
Odd Rune Lykkebø: aprox 30 min. Intro ANN issues.
4: Mitchell, Life and Evolution in Computers
5: Gershenson, Introduction to Random Boolean Networks
6: Jensen, Reservoir Computing with a Chaotic Circuit
7: Jensen, Computing in artificial spin ice

2/11 Friday 10:15 - 12:00 (454 IT-Vest) Morphogenetic Engineering
Gunnar Tufte: aprox 30 min. Intro to morphogenetic and generative systems
8: Harding, Artificial Development
9: Tufte, From Evo to EvoDevo: Mapping and Adaptation in Artificial Development
10: Harding, A survey of self modifying cartesian genetic programming
Slides from Miller at PPSN as support for paper 10 PPSN 2014 Tutorial: Cartesian Genetic Programming

15/11 10:00 12:00 (454 IT-Vest) Summary

Exam 29th of November 11:00 in 454 IT-Vest (see mail from Berit also)

Editor: Gunnar Tufte  Contact address: Gunnar tufte   Page updated: 17 09 2018