II. Pedia Sapiens: A Planetary Progeny Comes to Her/His Own Actual Factual Knowledge

C. Earth Learns: Interactive Person/Planet, Self-Organizing, Daily Collaboratiions

Zonker, Johannes, et al.. Insights into drivers of mobility and cultural dynamics of African hunter–gatherers over the past 120 000 years. Royal Society Open Science. November, 2023. While the presence and benefits for any group of an accumulating social lore has been known for some time, this current entry by JZ and Nataša Djurdjevac Conrad, Zuse Institute, Berlin, and Cecilia Padilla-Iglesias, University of Zurich can provide the first agent-based, networked, mathematic quantification, which also includes a mobility factor. The paper begins by laying out this scientific phase and then applies it to an actual spatial/temporal tribal exemplar. A third section concludes as a proven fact, that the long span of human history is indeed distinguished and motivated by an expansive. salutary knowledge repository. As the basis of this resource website, along with concepts such as a major individuality transition and global brain knowsphere, a worldwise Earthumanity cumulative culture could be another occasion.

• Humans have a unique capacity to innovate, transmit and rely on a complex, cumulative culture for survival. While prior work has popof the sum entirety ulations with regard to persistence, diversity and information, they have not yet explained their occurrence and distribution over an evolutionary trajectory. Here, we develop a spatial-temporal agent-based model to include environmentally driven changes in the size and dynamics of hunter–gatherer groups as they may affect the form, transmission and accumulation of a relative knowledge content. We validate our model using empirical data from Central Africa spanning 120 000 years. Our work can therefore offer important insights into the role of a foraging lifestyle on the evolution of cumulative culture. (Abstract)
•
Despite being less genetically diverse than all our Great Ape relatives, humans are able to inhabit every terrestrial habitat of the planet. This unique adaptive ability has been largely explained by our capacity to rely on cumulative culture for survival. Culture is a second inheritance system that parallels and interacts with the genetic system, generating most of human population diversity. Cultural variation and innovations accumulate in populations throughout time, allowing for complex cultural adaptations to evolve. (1)

Zurn, Perry and Danielle Bassett. Network Architectures Supporting Learnability. Philosophical Transactions of the Royal Society B. February, 2020. In this special Unifying the Essential Concepts of Biological Networks issue, American University, Washington and University of Pennsylvania neuroscientists enter an innovative survey which joins a universe context from its physical, energetic basis with our manifest human neural net phase so as to trace a central essence and pathway of intelligent personal and societal learning and active knowledge. The paper cites the self-similarity of nested hierarchies, modularity, scalar transitions, shared information, metabolism, and more by which to achieve better represented models of this animate evolution. At each instance and stage, the relational, communicative topologies as they join pieces (particles, neurons, creatures) are seen to have a primary significance.

Human learners acquire complex interconnected networks of relational knowledge. The capacity for such learning naturally depends on two factors: the informational structure of the knowledge network and the architecture of a computational brain that encodes and processes it. That is, learning is reliant on integrated networks at both epistemic and computational levels, or the conceptual and neural. Here we discuss emerging work on network constraints on the learnability of relational knowledge, and statistical physics principles of thermodynamics and information theory to offer an explanatory model. We highlight similarities between the learnability of relational networks and the physical constraints on the development of interconnected patterns in neural systems, both leading to hierarchically modular networks. Finally, we broach a unified approach to hierarchies and levels in biological networks by proposing epistemological norms for analysing the computational brain and social epistemes, and for developing pedagogical principles conducive to curious thought. (Abstract excerpt)

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