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Environmental Machine Learning
research thread:
groworld_hpi > Boskoi 2010 > Augmented Ecology 2014 > Machine Wilderness 2015 > Environmental Machine Learning (2018?)
potential starting questions:
- 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) could an AI become environmentally literate? (+ implications)
- 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 cultures,..)
- thalience: how much of the human is present in the 'robotic eye'?
- who is the observer in these experiments? what kind of power-relations come out? (+symbiogenesis)
methods:
- fieldwork: exploration through interactions between man-machine-environment in-situ
- prototyping: like in Boskoi & Machine Wilderness with experiments as vehicles for materializing questions
- 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?
program: (under construction)
- EML Meetup series at MidWest Experimental Station, dec 2017 / nov 2018 theme: Synthetic Environmental Literacy
- 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:
- “Adoption of Machine Learning Techniques in #Ecology and Earth Science. Thessen [2016]” » https://t.co/D1hOba8AY7
- “Machine Learning without Tears: A primer for Ecologists. Olden et al [2008]” » https://t.co/N1l1JKYqqh
- “Applications of machine learning in animal behaviour studies” > http://www.sciencedirect.com/science/article/pii/S0003347216303360
- “Intrinsic motivations and open-ended development in animals, humans, and robots: an overview” > https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4158798/
framing:
- Panpsychism