MAIN 2020 and Observer-Dependent Models talk preview | SMN 201205

OREL’s Saturday Morning NeuroSim for December 5, 2020

Jes Parent
Orthogonal Research and Education Lab
2 min readDec 8, 2020

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From Orthogonal Research and Education Laboratory: Saturday Morning NeuroSim

This week’s meeting centered around the Montreal Artificial Intelligence & Neuroscience conference (MAIN 2020), which hosted several talks concerning the interdisciplinary nexus that is studying natural and artificial intelligence together. We also discussed our upcoming writings— with plans for future posts about events and involvements. We will be reviewing project ideas and a Call for Proposals & Calls for Involvement on several topical areas for 2021 with our major teams, including adding on to previously active projects in virtual reality, complexity & feedback, cognitive models, philosophy & society, and agent-based modeling. We concluded with a did a test run the upcoming talk on Observer-Dependent Models.

News

The upcoming talk on Observer-Dependent Models with Orthogonal Research and Education Lab (OREL) Head Scientist Bradly Alicea at the Philosophers Web Cafe will stream virtually on Friday, December 11th. Sign up here to receive the invitation link.

Moderated by OREL’s Jesse Parent, this talk reflects on the role of the observer in computational modeling, while considering its influence on causality and interpretation of results.

Also, we will all stay tuned for NeurIPS 2020. The massive conference in computing and AI is starting up this week and several lab members will be attending or keeping track of the talks from afar. Of note, the BabyMinds and Shared Visual Representations in Human and Machine Intelligence (SVRHM) workshops, along with several speakers and tutorials on representations, learning, and other information processing topics.

Papers & Ideas

Presentation

  • Observer-dependent Models (public lecture version): link

Video

Twitter Thread

See you next week!

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Jes Parent
Orthogonal Research and Education Lab

Embodied & Diverse Intelligences: Development, Learning & Evolution across Biological, Cognitive, and Artificial realms.