RESEARCH BASE

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

3,721 Documents 34 Sections 43,623 Citations 34,854 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.

185 results for "common mycorrhizal network" — page 6 of 10

ZC_4_22 Credible Social Science

ZC_4_22 — Urban Anthropology & City as Culture

Urban anthropology — the ethnographic study of life in cities — has grown from a marginal subfield to one of the most vital areas in contemporary social science as humanity has become a predominantly urban species: since

urban anthropology urbanization city ethnography gentrification informal settlements
ZC_2_16 Verified Social Science

ZC_2_16 — Social Capital

Social capital — the networks of relationships, norms of reciprocity, and trust that facilitate collective action and cooperation within and between groups — emerged as one of the most influential and contested concepts

social capital Bourdieu Coleman Putnam bonding capital bridging capital
ZC_2_20 Credible Social Science

ZC_2_20 — Social Capital Theory — Putnam

Social capital — the networks of relationships, norms of reciprocity, and trust that facilitate cooperation among individuals and groups — became one of the most influential and contested concepts in social science follo

social capital Robert Putnam bowling alone civic engagement trust social networks
G_1_08 Verified Modern Frameworks

G_1_08 — Machine Learning in Archaeology — Pattern Recognition in the Past

Machine learning (ML) — the subset of artificial intelligence in which algorithms learn patterns from data rather than being explicitly programmed — is transforming archaeological practice across every stage of research:

machine learning artificial intelligence deep learning neural network convolutional neural network CNN
G_3_05 Modern Frameworks

G_3_05 — Self-Organization and Emergence

Self-organization is the process by which global order arises from local interactions among components of an initially disordered system, without external direction or centralized control. Emergence is the closely relate

self-organization emergence complexity Kauffman autocatalysis autopoiesis
G_3_16 Credible Modern Frameworks

G_3_16 — Complexity Theory and Civilizational Collapse

Complexity theory — drawn from physics, mathematics, ecology, and information theory — provides a powerful framework for understanding why civilizations collapse: not as the result of a single catastrophic event, but as

complexity collapse civilization complex systems emergence resilience
G_2_04 Verified Modern Frameworks

G_2_04 — Complexity Economics and Ancient Trade Systems

Complexity economics — the application of complex systems theory, non-linear dynamics, and agent-based modeling to economic phenomena — provides a powerful modern framework for understanding ancient and premodern trade s

complexity economics Santa Fe approach Brian Arthur agent-based economics increasing returns path dependence
T_4_15 Credible Psychology & Social

T_4_15 — The Psychology of Cooperation and Trust: Game Theory, Reciprocity, and Institutions

Cooperation — acting in ways that benefit others at a cost to oneself — is both theoretically puzzling (why would natural selection favor organisms that sacrifice fitness for others?) and practically essential (every hum

cooperation trust game theory prisoner's dilemma reciprocity altruism
T_3_02 Psychology & Social

T_3_02 — Psychology of Creativity & Insight

The psychology of creativity investigates the cognitive processes, personality traits, environmental conditions, and neural mechanisms underlying the generation of novel and useful ideas, solutions, and products.

creativity insight divergent thinking Guilford Wallas incubation
T_3_04 Psychology & Social

T_3_04 — Sleep Psychology and Dreams

Sleep occupies approximately one-third of human life yet its functions remain among the most actively investigated questions in neuroscience and psychology.

sleep psychology dreams REM sleep NREM sleep dream interpretation Freud dream theory
T_3_12 Credible Psychology & Social

T_3_12 — Altered States of Consciousness: Trance, Meditation, and Sensory Deprivation

Altered states of consciousness (ASCs) — states that differ qualitatively from ordinary waking awareness in terms of perception, cognition, self-awareness, affect, and volition — have been systematically studied since th

altered state of consciousness ASC trance meditation sensory deprivation float tank
ZD_1_03 Information & Computation

ZD_1_03 — Information as Fundamental Reality

Multiple converging lines of evidence suggest information, not matter or energy, may be the most fundamental constituent of reality. From Wheeler's "It from Bit" to the holographic principle (3D reality encoded on 2D bou

information It from Bit Wheeler holographic principle Bekenstein bound Shannon entropy
ZD_3_18 Credible Information & Computation

ZD_3_18 — Optical Computing: Photonic Processors, All-Optical Logic & Speed-of-Light Computation

Optical computing — the use of photons instead of electrons to perform computation — has been pursued since the 1960s as a means to overcome the fundamental speed, bandwidth, and energy limitations of electronic processo

optical-computing photonic-processor silicon-photonics all-optical-logic mach-zehnder optical-neural-network
ZD_4_10 Credible Information & Computation

ZD_4_10 — Complexity Theory in Biology — Kauffman, Wolfram, Edge of Chaos

The application of complexity theory to biology — the study of how complex, adaptive, self-organizing structures and behaviors emerge in living systems from the interactions of simpler components — has been one of the mo

complexity edge of chaos self-organization emergence Kauffman Wolfram
ZD_4_14 Verified Information & Computation

ZD_4_14 — Computational Social Science: Agent-Based Modeling, Digital Trace Data, and Social Simulation

Computational social science (CSS) is the interdisciplinary field that applies computational methods — agent-based modeling, social network analysis, natural language processing, machine learning, simulation, and large-s

computational social science agent-based modeling social simulation digital trace data computational text analysis big data
ZD_2_04 Verified Information & Computation

ZD_2_04 — Computer Vision and Image Processing

Computer vision — enabling machines to interpret and understand visual information from the world — has progressed from hand-crafted feature engineering to the deep learning revolution that now approaches or exceeds huma

computer vision image processing convolutional neural network object detection image classification edge detection
ZD_2_15 Verified Information & Computation

ZD_2_15 — Transformer Architecture: Self-Attention and the Foundation of Modern AI

The transformer is a neural network architecture introduced in 2017 that replaced recurrent and convolutional models as the dominant paradigm in artificial intelligence. Its core innovation — the self-attention mechanism

transformer self-attention multi-head attention positional encoding encoder-decoder BERT
Verified

ZD_2_02_Artificial_Intelligence_Foundations

Artificial intelligence (AI) — the field devoted to creating machines that exhibit intelligent behavior — was formally founded at the Dartmouth Conference (1956) organized by John McCarthy, Marvin Minsky, Nathaniel Roche

artificial intelligence Turing test symbolic AI connectionism neural network expert system
ZD_2_07 Credible Information & Computation

ZD_2_07 — Artificial General Intelligence — Architectures and Challenges

Artificial General Intelligence (AGI) — a hypothetical AI system capable of performing any intellectual task that a human can, with the same flexibility, generality, and ability to learn and transfer knowledge across dom

AGI artificial general intelligence artificial intelligence AI superintelligence alignment
ZD_2_01 Information & Computation

ZD_2_01 — Machine Learning Mathematics

Machine learning — the science of algorithms that improve through experience — rests on a rich mathematical foundation spanning optimization, statistics, linear algebra, probability, and functional analysis. The core mat

machine learning gradient descent backpropagation neural network statistical learning theory VC dimension