GMU:Self-Organization by Design/Part1: Difference between revisions

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* Large number of Mobile Units (i.e. Particles or Agents)
* Large number of Mobile Units (i.e. Particles or Agents)


In this workshop we will lear how to model those components in Processing,
  In this workshop we will lear how to model those components in Processing,
and how interactions between them can give rise to self-organizing behaviour.
  and how interactions between them can give rise to self-organizing behaviour.


== Topics ==
== Topics ==
Line 31: Line 31:


== Software ==
== Software ==
Some of the systems we are going to explore in Processing are  
  Some of the systems we are going to explore in Processing are  
readily available in other software suites.<br>
  readily available in other software suites.
We will have a look at them and learn how to implement these systems from scratch.
  We will have a look at them and learn how to implement these systems from scratch.


* [http://ccl.northwestern.edu/netlogo/ Netlogo] (Alife Environment)
* [http://ccl.northwestern.edu/netlogo/ Netlogo] (Alife Environment)
Line 45: Line 45:


== Experiments ==
== Experiments ==
This section will contain links to subpages and experiments of the participants.
  This section will contain links to subpages and experiments of the participants.
 
* [[GMU:Self-Organization_by_Design/Clemens Bast#Experiments|2D Neighborhood Explorations]] by Clemens Bast


== Literature ==
== Literature ==
A list of books and articles that are relevant to this part of the workshop will be published here.
{{Self-organization/Literature/Computational systems}}


[[Category:Design]]
[[Category:Design]]

Latest revision as of 18:56, 2 December 2013

Computational Systems

 This is the first block of the workshop series GMU:Self-Organisation by Design

Theory

Self-Organizing Systems usually have two components:

  • Spacial Environment (i.e. Cellular Automaton or Vector field)
  • Large number of Mobile Units (i.e. Particles or Agents)
 In this workshop we will lear how to model those components in Processing,
 and how interactions between them can give rise to self-organizing behaviour.

Topics

  • Simple Cellular Automata (CA)
    • Discrete and Continuous CA
    • CA on regular grids
    • CA on irregular grids
  • Multi-Level Cellular Automata
    • Multilevel, Multiscale CA
    • CA as Neural Networks
    • Turing-McCabe Patterns
  • Vector Fields
    • Particles in static vector fields
    • Particles in dynamic vector fields

Software

 Some of the systems we are going to explore in Processing are 
 readily available in other software suites.
 We will have a look at them and learn how to implement these systems from scratch.
  • Netlogo (Alife Environment)
  • Golly (Game of Life Simulator)
  • Ready (Reaction-Diffusion Systems)

Links

Experiments

 This section will contain links to subpages and experiments of the participants.

Literature

Science Books

Popular Science Books

Computer Science Books

  • Bonabeau, Eric: Swarm Intelligence. From Natural to Artificial Systems ISBN 978-0195131598
  • Ilachinski, Andrew: Cellular Automata: A Discrete Universe ISBN 978-9812381835
  • Peitgen H., Jürgens H., Saupe D.: Chaos and Fractals: New Frontiers of Science ISBN 978-0387202297
  • Floreano D., Mattiussi C.: Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies ISBN 978-0262062718

Hands-On Programming Books

  • Jacob, Christian: Principia Evolvica. Simulierte Evolution mit Mathematica ISBN 978-3920993485
  • Flake, Gary W.: The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems, and Adaptation ISBN 978-0262561273
  • Resnick, Mitchel et alter: Adventures in Modeling: Exploring Complex, Dynamic Systems with Starlogo ISBN 978-0807740828

Coffee Table Books

  • Wolfram, Stephen: A New Kind of Science ISBN 978-1579550080
  • Trefethen, Lloyd N., Embree Kristine: The (unfinished) PDE Coffee Table Book online (unpublished)

Media Art, Craft and Architecture