RESEARCH BASE

Search 3,721 documents across 34 fields — every claim tier-rated by evidence

3,721 Documents 34 Sections 43,625 Citations 34,852 Keywords Indexed 4 Evidence Tiers

3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.

5 results for "Boyd"

G_2_12 Credible Modern Frameworks

G_2_12 — Cultural Evolutionary Theory — Boyd, Richerson, and Henrich

Cultural evolutionary theory — developed primarily by Robert Boyd, Peter Richerson, and Joseph Henrich — provides a rigorous, formally modeled framework for understanding how cultural traits (beliefs, practices, technolo

cultural evolution dual inheritance gene-culture coevolution social learning imitation prestige bias
U_4_03 Verified Art, Music & Culture

U_4_03 — Cultural Evolution — Dual Inheritance and Cumulative Culture

Cultural evolution theory applies Darwinian principles — variation, selection, inheritance — to the transmission and transformation of cultural information (beliefs, technologies, norms, institutions). The dual inheritan

cultural evolution dual inheritance gene-culture coevolution cumulative culture Boyd Richerson memetics
K_2_16 Verified Consciousness

K_2_16 — Optogenetics: Light-Controlled Neural Circuits

Optogenetics is a biological technique that uses genetically encoded light-sensitive proteins (opsins) to control the activity of specific neurons with millisecond precision using light. Developed primarily by Karl Deiss

optogenetics channelrhodopsin halorhodopsin archaerhodopsin ChR2 opsins
G_4_07 Credible Modern Frameworks

G_4_07 — Memetics — Cultural Evolution as Darwinian Process

Memetics proposes that cultural information — ideas, behaviors, styles, skills — evolves through a Darwinian process analogous to biological evolution, with the "meme" as the cultural replicator paralleling the gene. Coi

memetics meme cultural evolution Richard Dawkins Susan Blackmore Daniel Dennett
V_3_11 Verified Mathematics & Information

V_3_11 — Mathematical Optimization: Linear Programming, Convex Methods, and Gradient Descent

Mathematical optimization — finding the best solution from a set of feasible alternatives — is one of the most practically impactful branches of mathematics, with applications spanning logistics, finance, engineering, ma

mathematical optimization linear programming simplex method convex optimization gradient descent stochastic gradient descent