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environmental_machine_learning [2017-07-23 06:18] theunkarelseenvironmental_machine_learning [2017-08-14 10:58] theunkarelse
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 === potential starting questions: === === potential starting questions: ===
-  * if/how the concept of the 'umwelt' in biological creatures relates to the 'world view' (as Memo Akten called it) that forms in artificial neural networks during training. +  * if/how the concept of the 'umwelt' in biological creatures relates to the 'world view' that forms in artificial neural networks during training. 
-  * how do animals, plants or machines learn through experience and exposure? +  * how do animals, plants or machines learn through experience and exposure? (+cognitive biases) 
-  * (how) could an AI become environmentally literate? +  * (how) could an AI become environmentally literate? (+ implications) 
-  * could such a 'synthetic' worldview deepen the understanding/appreciation of environmental complexity? (bypass human cognitive biases) +  * what does a 'synthetic worldviewmean for the understanding/appreciation of environmental complexity? 
-  * could machine learning expand environmental literacy in technology/society+  * how do strategies of environmental observation compare/relate (in AI, choreography, ecology, art, landscaping, traditional cultures,..) 
-  * how do strategies of environmental observation compare/relate in AI, choreography, ecology, art, landscaping, traditional practicesetc.. +  * thalience: how much of the human is present in the 'robotic eye'? 
-  * thalience: how much of us humans is present in the 'robotic eye'? (Or more broadly: In an age of AI do we hold on to us being the humans?) +  * who is the observer in these experimentswhat kind of power-relations come out? (+symbiogenesis)
  
  
 === methods: === === methods: ===
   * fieldwork: exploration through interactions between man-machine-environment in-situ   * fieldwork: exploration through interactions between man-machine-environment in-situ
-  * prototyping+  * prototyping: like in Boskoi & Machine Wilderness with experiments as vehicles for materializing questions
   * critical reflection   * critical reflection
-  * multimodal and transdisciplinary approach: could the project also give room to explore observation strategies from various domains of human inquiry and probe them in-situ? +  * multimodal and transdisciplinary approach: could the project also give room to explore observation strategies from various domains of human inquiry and probe them in-situ? 
 + 
 +=== program: === 
 +  * fieldwork session Finland, may 2018 **theme: Rules of Engagement: Machine and Animal interactions** / 4 ppl / 10 days  
 +  * fieldwork session Terschelling, sep 2018 **theme: Random Forests: Environmental observation and perception into algorithm** / 10 ppl / 2 or 3 days 
 +  * critical reflection / writing, web or print: //Fieldguide to Environmental Machine Learning// 
 +  * exhibition (Artis Zoo?)
  
 === reading: === === reading: ===
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 === see also: ===  === see also: === 
-  * [[machine_learning]] +  * [[machine learning]] 
-  * [[machine_ecology]]+  * [[machine ecology]] 
 +  * [[Robust Physical Perturbations]]
   * http://machinewilderness.net   * http://machinewilderness.net
  • environmental_machine_learning.txt
  • Last modified: 2020-07-03 10:44
  • by theunkarelse