In which David Krakauer rights the wrongs of early complexity science, particularly the Waddington adaptive landscape which yields adaptation as action. Adaptation, Krakauer says, is an internal encoding of the world (map, model, etc.), i.e. teleonomic matter. Another exciting interview by @seanmcarroll

https://www.preposterousuniverse.com/podcast/2023/07/10/242-david-krakauer-on-complexity-agency-and-information/

#DavidKrakauer #Complexity #ComplexityScience #SantaFeInstitute

@johnwehrle NB, Thi Nguyen was just on SFI's Complexity podcast:

https://complexity.simplecast.com/episodes/101

#ThiNguyen #ComplexityPodcast #SantaFeInstitute

A third excellent series is "Complexity" from the Santa Fe Institute, largely looking at systems and complexity research. Topics, production, and editing are excellent, and definitely definitely definitely check out the show notes for additional references.

Actually, that last goes for all three of these podcasts, which really put the additional effort into documenting what was discussed.

Complexity: https://www.santafe.edu/culture/podcasts#Complexity

#ComplexityPodcast #SantaFeInstitute #Podcasts #Recommendations

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Dred's 2022 Podcast Recommendations

My top three, well, four, though the fourth is a few hundred podcasts of the year.

Deets follow separately.

1. Philosophize This by Stephen West: https://www.philosophizethis.org/
2. History of Philosophy by Peter Adamson: https://historyofphilosophy.net/
3. Complexity from the Santa Fe Institute: https://www.santafe.edu/culture/podcasts#Complexity
4. The New Books Network, edited by Marshall Poe https://newbooksnetwork.com/

#PhilosophizeThis #StephenWest #HistoryOfPhilosophy #PeterAdamson #ComplexityPodcast #SantaFeInstitute #NewBookNetwork #MarhsallPoe #Podcasts #Recommendations #Tootstorm

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@massimo006 I recently watched the dialogue between Dott Krakauer and Cormac McCarty at #SantaFeInstitute. McCarty mentions, I am paraphrasing here, cognition and language are somehow disconnected because the former is much more ancient. And the latter works differently in helping us to think on paper. Versus in the mind. What is your point of view? Thanks.

Video of the dialogue on YouTube alternative front-end (we are on Mastodon after all): https://invidious.slipfox.xyz/watch?v=HrUy1Vn2KdI

David Krakauer on Emergent Political Economies and A Science of Possibility

In this episode, we talk with SFI President David Krakauer about the goals of this research theme and what SFI brings to the table. We discuss the legacy of long-standing challenges to quantitative history and mathematical economics, how SFI thinks differently about these topics, and a brief outline of the major angles we’ll explore in this sub-series over the next year-plus — including the roles of dimension, causality, algorithms, scaling, innovation, emergence, and more.

Subscribe to Complexity Podcast for upcoming episodes with an acclaimed line-up of scholars including Diane Coyle, Eric Beinhocker, Ricardo Hausmann, Doyne Farmer, Steven Teles, Rajiv Sethi, Jenna Bednar, Tom Ginsburg, Niall Ferguson, Neal Stephenson, Paul Smaldino, C. Thi Nguyen, John Kay, John Geneakoplos, and many more to be announced…

https://complexity.simplecast.com/episodes/82

Transcript: https://complexity.simplecast.com/episodes/82/transcript

Direct audio

SFI's Complexity is among my favourite podcasts. This episode, and the series it fronts, are a look into a revising of theories of political economy --- a domain which to date has been frustrating and problematic.

Strongly recommended.

#Complexity #DavidKrakauer #SantaFeInstitute #SFI #PoliticalEconomy #Podcasts

@vortex_egg This borrows also from an idea from David Krakauer (former president of the #SantaFeInstitute) that intelligence is search. That is, intelligence is a search through some state space. Which means that the result of search is information or knowledge (or data, if you prefer).

And there are numerous intelligence systems. We're used to neuronal intelligence, but genetic intelligence (that is, genetic search through a state space for an optimal fitness solution) also exists. Which is to say, genetics is an information representation, and refers back to the environment in which selections were made on variations.

Here the mapping starts getting ... complicated, as there's not a 1:1 mapping of gene pairs to selections. There seems to be a lot of unused (or unexpressed) genetics in many organisms, and the costs of excess genetic information seem relatively low. Mapping expressed proteins to information might be more accurate.

(And of course, I'm well out of my depth here.)

@feonixrift

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