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CELLULAR AUTOMATA
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SYSTEMS
Static(inputonly)
Dynamic
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SYSTEMS
Static(inputonly)
Dynamic
Reactive Sytems
Interactive Sytems
- the Response is always fxed
designers oftehn use the word interactive to describe systems that simply react to input, for example,
describing a set of Web pages connected by hyperlinks as interactive media. -Usman Haque
Syn. Feedback Loop, closed inormation loop, serl-regulating systems, recirculating system
- The response is dynamic and dependent on the input
Input Output
FUNCTION
Input OutputFUNCTION
Feedback
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SYSTEMS
Static(inputonly)
Dynamic
Reactive
Interactive
Reactive
Interactive
First Order
Second Order
- Simple eedback loop- Has only one loop
- Can not adjust its own goals
Syn. Learning System, Sel adjusting system
- Can modiy its goals based on the eects o another system or inputs rom the environment
- Second order systems can be nested within one other and they can either reinorce each either or have
competing goals.
Input Output
SET
FUNCTION
Feedback
First Order System Output
Output
Assess
OutcomeDETERMINE
FUNCTION
Environmental actor
Second Order System Output
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SYSTEMS
Static(inputonly)
Dynamic
FirstOrder
SecondOrder
Reactive
Interactive
Reactive
Interactive
CELLULAR AUTOMATA
A regular grid o cellswith fnite states and a defned neighbourhood.
any dimension eg. on/o
Time = 0
eg. A cells neighbourhood can be itsel and its
surrounding cells in any direction up to 2 cells distance.
Cells are given a defned state to begin with.
Time = 1 unit
generation 1
Each cell assesses its own state and the state o its neighbours and responds according to a set o rules.
according to some fxed rule
Time = 2 unit
generation 2
Each cell re-asesses its own state and the state o its neighbours and responds according to a set o rules.
Time = 3 unit
generation 3
Time = 4 unit
generation 4
typically the rules are the same or all cellsand are applied to all cells simultaneously.
eg. I 2 or more neighbours are on,
turn o. Otherwise, remain on
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CELLULAR AUTOMATA - Digital Models
Conways Game of Life -Neighbours = directly surrounding cells. States = live/dead. Rules: 1_cell with ewer than 2 live neighbours dies. 2_Cell with more than 3 liveneighbours dies. 3_Cell with 2 or 3 live neighbours lives to next generation. 4_dead cell with exactly 3 live neighbours becomes live.
Brians Brain -Neighbours = directly surrounding cells.States =on/dying/o. Rules: 1_o cell turns on i exactly two neighbours are on. 2_On cells enter a dying state.3_dy-ing cells go to o state.
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CELLULAR AUTOMATA - Digital Model (2D)< http://www.youtube.com/watch?v=xOL0gXEEl5c>
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CELLULAR AUTOMATA - Digital Model (2D)
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CELLULAR AUTOMATA - Digital Model (3D)
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CELLULAR AUTOMATA - Biological Model (mixing o liquids)
Mixing o two liquids appears random.
However, the process ollows a defnite set
o rules. Each molecules ability to move and
thereore mix depends on its own physical
properties and the physical properties o
its neighbours. These conditions are as-
sessed and direction and speed o motion
are determined accordingly.
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CELLULAR AUTOMATA - Biological Model (bioluminescent algae)
Each cell undergoes a chemical reaction
activated by motion or its adjacent neigh-
bours.
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CELLULAR AUTOMATA - Biological Model (conus seashells)
< http://en.wikipedia.org/wiki/Cellular_automaton>
Secretion o pigment rom each cell is de-
pendant on its neighbouring cells similar
to Rule 30 where cells are activated based
on a mathematical sequence o numbers.
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CELLULAR AUTOMATA - Physical Model
< http://www.decept.org/nolie/index_english.html#video>
Dplacements -It consists o 24 cells
arranged in a grid.
Each an acts as a cell
and is activated ac-
cording to the game
o lie.
Hardware: 24 ans,3 Pico IP systems, 1
computer. Sotware:
Processing, PicoLib.
(Developed by Manuel
Braun)
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CELLULAR AUTOMATA - Physical Model
< http://blog.makezine.com/archive/2008/11/game_o_lie_materialized.html>
Evil/Live 2 - 256 hal-ogen lights and speak-
ers were arranged in a
16 x16 grid each acting
as a cell and ollowing
the rules o game o
lie.
(Developed by Bill Vorn)
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CELLULAR AUTOMATA - Physical Model
< www.we-make-money-not-art.com/yyy/0aaarco98ub.jpg>
Propagaciones - It consists o 50 small robots installedon top o poles. They are all made o similar circuits but each
looks dierent. They interact with people around them and
among each other by turning lights on and spinning around.
Each ollows the rules rom Conways game o lie.
(Developed by Leandro Nez )
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CELLULAR AUTOMATA - Physical Model
< http://www.digital-architecture.org/hinterlands/exhibitor/marilena-skavara/>
Adaptive Fa[ca]de - An adaptive skin that isconstantly training itsel to understand the envi-
ronment. It uses an artifcial neural network thatresponds to the level o light in the environment
aiming to provide optimal light intensity or a
space.
(Developed by Marilena Skavara )
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