2d:null 2e:["$","title",null,{"children":"Assignment #3 Finding Emergence | KarlieDoesNotExist | Observable"}] 33:[{"id":"8a074adef21ad0a484693de2b5150a22a0911253a9cb889ac6da3db4e40a7aac53ba3162fd2052b2d3bff5651ff3cd37ea13671fa874d0ee288f25c105be8ddc","href":"https://static.observableusercontent.com/files/8a074adef21ad0a484693de2b5150a22a0911253a9cb889ac6da3db4e40a7aac53ba3162fd2052b2d3bff5651ff3cd37ea13671fa874d0ee288f25c105be8ddc","name":"from2-1000_b&w.png","type":"image/png","lastModified":1612369912944.389,"size":303829},{"id":"41800305b4c18e021ef6db62f07eb9e9cfa14bbf261c46514e6510602ca71964b5eac294142c160d60d684311354ce4ca183cc06c3ab26edfee0b23b5f20302f","href":"https://static.observableusercontent.com/files/41800305b4c18e021ef6db62f07eb9e9cfa14bbf261c46514e6510602ca71964b5eac294142c160d60d684311354ce4ca183cc06c3ab26edfee0b23b5f20302f","name":"discription.png","type":"image/png","lastModified":1612409626343.206,"size":486891}] 31:{"id":"0fea424548578d7c","slug":"assignment-3-finding-emergence","title":"Assignment #3 Finding Emergence","thumbnail":"2269b3a453822d3407e8f264f23195c2ed6d2a439de9d7a742457f0a5f29996c","access_level":"public","create_time":"$D2021-02-02T11:58:54.664Z","update_time":"$D2021-02-04T06:51:30.501Z","view_time":null,"first_public_time":"$D2021-02-03T17:26:23.097Z","has_unpublished_edits":null,"fork":false,"stars":2,"starred":false,"owner":{"type":"team","id":"b34c988451399e98","login":"wenrazhao2","name":"KarlieDoesNotExist","avatar_url":"https://avatars-next.observableusercontent.com/64edd542e55cff350a7503e5050267fb1768e8cc5052184b8a8cb49162d172f3","tier":"starter_2024"},"version":331,"publish_version":331,"role":null,"authored":false,"authors":[{"type":"individual","id":"302ba7635bb9b25d","login":"wenrazhao2","name":"KarlieDoesNotExist","avatar_url":"https://avatars-next.observableusercontent.com/64edd542e55cff350a7503e5050267fb1768e8cc5052184b8a8cb49162d172f3","tier":null}],"members":[{"type":"individual","id":"302ba7635bb9b25d","login":"wenrazhao2","name":"KarlieDoesNotExist","avatar_url":"https://avatars-next.observableusercontent.com/64edd542e55cff350a7503e5050267fb1768e8cc5052184b8a8cb49162d172f3","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"Assignment #3 Finding Emergence","cells":[{"id":0,"value":"md`# Assignment #3 Finding Emergence\n***Feb 3rd, 2021***\n\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":190,"value":"md`\n## Cellular Automata \n## and the Idea of Low Dimensional Societies\nAll of the following code & modelling is based on the social dynamics CA model, proposed by Rainer Hegselmann and Andreas Flache in 1998: [Understanding Complex Social Dynamics: A Plea For Cellular Automata Based Modelling](http://jasss.soc.surrey.ac.uk/1/3/1.html).\n\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":197,"value":"md`\n## DESCRIBE\n\nSince Rainer and Andreas's model is one type of cellular automata, it has the basic features of a CA.\n\n- Cells are arranged in a regular D-dimensional grid.\n- Every cell adopts a state from a finite set of states.\n- Time is discrete.\n- Cells change their states according to local rules.\n- The same transition rule applies to all cells.\n- In each period cells are updated (simultaneously or sequentially).\n\nOr to put it more simply:
\nThe state of each cell in this stage/generation is determined by the average of its neighbours's states in the previous stage/generation.\n

\n\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":162,"value":"md`\n## IMITATE\n\nBelow is a sketch that simulates Rainer and Andreas's Social Dynamics system. It shows the results and processes of simulation runs with 2, 5, 10, 15, 30, and 1000 different opinions.
\n\nClick & hover your mouse on each section to see how it evolve. Click again to pause.
\n\n\n\nWe can see that with the increase of the possible options, the distribution of different options becomes more and more even, and there are patterns and clusters emerge. Just as [the paper](http://jasss.soc.surrey.ac.uk/1/3/1.html) says: the more possible opinions there are, the closer the stable results get to universal consensus and the smoother are the transitions between areas of differing opinion.\n\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":271,"value":"md`\nWe can also look at greyscale mode, where the idea of \"mean of the neighbours\" is more clearly shown.\n

\n\nThis Social Dynamics CA model is introduced in 1998, as a vehicle to understand and study social dynamics. However the visual patterns it generates are also fascinating. Sometimes it reminds me of the Gaussian blur algorithm - I guess that's because they both use the average of the neighbours as a crucial parameter, so they look a bit similar. Also, it's interesting to see that in the situation where there are 5 possible options, one of the options always prevails among others. The same thing happens when there are 6 or 7 possible options.\n\nThe following sketch adds some embellishments to the original model. It focus more on the visual side rather than its significance in social dynamics.\n\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":239,"value":"md`\n## ACTIVATE \n
\n## Strange Circular Pleasure
\n\nClick to start or pause. No interaction other than that.
\n*This sketch includes sound, so you may want to turn on your speaker or put on headsets.*\n\n\n
\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":69,"value":"md`\n\n# Apart from that...\nA just-for-fun sketch, also based on the CA model.
\nClick to refresh your memory...\n\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W33","stdlib":"1","titling":"auto"}} 32:"$31:body"