Category: Biology of Information
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The Quark & the Jaguar
In 1994, SFI co-founder Murray Gell-Mann published his only book, The Quark & the Jaguar. Now available in electronic formats through the SFI Press, the book examines the laws of physics and the complexity of the natural world through Gell-Mann’s uniquely personal and unifying vision. “The world of the quark has everything to do / with…
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An New Law Needed?
On the roles of function and selection in evolving systems - by Michael L. Wong, et al. (2023) Systems of many interacting agents display an increase in diversity, distribution, and/or patterned behavior when numerous configurations of the system are subject to selective pressure. The universe is replete with complex evolving systems, but the existing macroscopic physical laws…
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Generating meaning – AI²: predicting wor(l)ds
I would like to quote some of the great insights and statements from the opinion by G. Pezzulo, T. Parr, P. Cisek, A Clark, and K. Friston published in TICS: “Generating meaning: active inference and the scope and limits of passive AI“. Does ChatGPT ‘understand‘ what it talks about in the way we do, or…
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Interoception and Active Inference for mental health
Interoception refers to the process by which the nervous system senses and integrates signals originating from within the body, providing a momentary mapping of the body’s internal landscape and its relationship to the outside world. Active inference is based on the premise that afferent sensory input to the brain is constantly shaped and modified by…
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Human society is currently undergoing a socio-cultural ETI
An evolutionary transition in individuality (ETI) occurs when a previously independent organism becomes a lower level unit within a higher hierarchical level (for example, cells in an organism, ants in a colony). Based on archaeological and historical accounts from the last 12000 years, this article “Human societal development: is it an evolutionary transition in individuality?”…
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EXplore-versus-EXploit problems
Trade-offs between producing costly movements for gathering information (‘explore’) and using previously acquired information to achieve a goal (‘exploit’) arise in a wide variety of problems, including foraging, reinforcement learning and sensorimotor control. Determining the optimal balance between exploration and exploitation is computationally intractable, necessitating heuristic solutions. In “Mode switching in organisms for solving explore-versus-exploit…
