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environmental_machine_learning [2017-07-24 12:17] – theunkarelseenvironmental_machine_learning [2017-08-14 11:00] – 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? (+ cognitive biases)+  * how do animals, plants or machines learn through experience and exposure? (+cognitive biases)
   * (how) could an AI become environmentally literate? (+ implications)   * (how) could an AI become environmentally literate? (+ implications)
   * what does a 'synthetic worldview' mean for the understanding/appreciation of environmental complexity?   * what does a 'synthetic worldview' mean for the understanding/appreciation of environmental complexity?
-  * how do strategies of environmental observation compare/relate in AI, choreography, ecology, art, landscaping, traditional practices, etc..+  * how do strategies of environmental observation compare/relate (in AI, choreography, ecology, art, landscaping, traditional cultures,..)
   * thalience: how much of the human is present in the 'robotic eye'?   * thalience: how much of the human is present in the 'robotic eye'?
-  * who is the observer in these experiments?+  * who is the observer in these experiments? what 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: like in Machine Wilderness, not as experimental devices that generate answers; but experimental systems as vehicles for materializing questions+  * 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: === === program: ===
-  * fieldwork session Kilpisjarvi Biological Research Station, Finland? +  * EML Meetup series at MidWest Experimental Station, dec 2017 / nov 2018 **theme: Synthetic Environmental Literacy** 
-  * fieldwork session GBSanctuary, Kerala, India? +  * fieldwork session Finland, may 2018 **theme: Rules of Engagement: Machine and Animal interactions** / 4 ppl / 10 days  
-  * critical reflection / writing, web or print?+  * 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?)   * exhibition (Artis Zoo?)
  
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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