What is the economy?  People used to tell stories about the exchange of goods and services in terms of flows and processes — but over the last few hundred years, economic theory veered toward measuring discrete amounts of objects.  Why?  The change has less to do with the objective nature of economies and more to do with what tools theorists had available.  And scientific instruments — be they material technologies or concepts — don’t just make new things visible, but also hide things in new blind spots.  For instance, algebra does very well with ratios and quantities…but fails to properly address what markets do: how innovation works, where value comes from, and how economic actors navigate (and change) a fundamentally uncertain shifting landscape.  With the advent of computers, new opportunities emerge to study that which cannot be contained in an equation. Using algorithms, scientists can formalize complex behaviors – and thinking economics in both nouns and verbs provides a more complete and useful stereoscopic view of what we are and do.

This week we speak with W. Brian Arthur of The Santa Fe Institute, Stanford University, and Xerox PARC about his recent essay, “Economics in Nouns and Verbs.” In this first part of a two-part conversation, we explore how a mathematics of static objects fails to describe economies in motion — and how a process-based approach can fill gaps in our understanding.  If you can’t wait two weeks for Part Two, dig through our archives for more Brian Arthur in episodes 13 and 14.

If you value our research and communication efforts, please subscribe to Complexity Podcast wherever you prefer to listen, rate and review us at Apple Podcasts, and/or consider making a donation at santafe.edu/give. You can find numerous other ways to engage with us — including job openings for both SFI staff and postdoctoral researchers, as well as open online courses — at santafe.edu/engage.

Join our Facebook discussion group to meet like minds and talk about each episode.

Podcast theme music by Mitch Mignano.

Follow us on social media:
Twitter • YouTube • Facebook • Instagram • LinkedIn

Related Reading & Listening:

• “Economics in Nouns and Verbs” by W. Brian Arthur (pre-print)
• @sfiscience Twitter thread excerpting “Economics in Nouns and Verbs”
• “Mathematical languages shape our understanding of time in physics” by Nicolas Gisin for Nature Physics
• “Introduction to PNAS special issue on evolutionary models of financial markets” by Simon Levin & Andrew Lo
• “The Information Theory of Individuality” by David Krakauer et al. for Theory in Biosciences
• “On Coronavirus, Crisis, and Creative Opportunity with David Krakauer” on Complexity Podcast
• “The Erotics of Becoming: XENOGENESIS and The Thing” by Eric White for Science Fiction Studies
• “New model shows how social networks could help generate economic phenomena like inequality & business cycles” by INET Oxford on research by J. Doyne Farmer