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.

530 results for "information theory" — page 1 of 27

K_1_17 Verified Consciousness

K_1_17 — Integrated Information Theory: Phi, Axioms & Empirical Tests

Integrated Information Theory (IIT), developed primarily by Giulio Tononi (University of Wisconsin–Madison) from 2004 to the present, proposes that consciousness is identical to integrated information — a quantity denote

integrated-information-theory iit phi giulio-tononi consciousness-axioms qualia-space
G_3_11 Verified Modern Frameworks

G_3_11 — Information Theory and Biological Complexity

Information theory, founded by Claude Shannon (1948, A Mathematical Theory of Communication), provides a rigorous mathematical framework for quantifying information content, communication capacity, and complexity — conce

information theory Shannon entropy Kolmogorov complexity algorithmic information biological information DNA information content
G_2_14 Credible Modern Frameworks

G_2_14 — Information Theory Applied to Ancient Scripts and Codes

Information theory — founded by Claude Shannon (1948) — provides a mathematical framework for quantifying the information content, redundancy, and statistical structure of communication systems. When applied to ancient s

information theory entropy Shannon script decipherment undeciphered
ZD_1_17 Credible Information & Computation

ZD_1_17 — Integrated Information Theory

Integrated Information Theory (IIT) is a mathematical theory of consciousness developed by Giulio Tononi (University of Wisconsin-Madison, 2004; IIT 3.0, 2014; IIT 4.0, 2022) that attempts to explain what consciousness i

integrated-information-theory iit consciousness phi giulio-tononi qualia
V_4_18 Verified Mathematics & Information

V_4_18 — Information Theory Cross-Discipline Bridge

Information theory, founded by Claude Shannon in 1948, provides a universal mathematical framework for quantifying uncertainty, communication capacity, and data compression. Its core concepts — entropy, mutual informatio

information theory Shannon entropy Kolmogorov complexity thermodynamic entropy holographic principle genetic code
ZD_1_02 Verified Information & Computation

ZD_1_02 — Information Theory — Shannon, Entropy, and the Bit

Claude Shannon's 1948 paper "A Mathematical Theory of Communication" is one of the most consequential scientific publications of the 20th century. It defined information quantitatively — measured in bits — independent of

information theory Claude Shannon entropy bit channel capacity noise
ZD_1_13 Verified Information & Computation

ZD_1_13 — Kolmogorov Complexity and Algorithmic Information Theory

Kolmogorov complexity (also called algorithmic complexity, descriptive complexity, or program-size complexity) — the length of the shortest computer program (on a fixed universal Turing machine) that produces a given str

Kolmogorov complexity algorithmic information theory algorithmic randomness incompressibility minimal description length Solomonoff
K_5_05 Credible Consciousness

K_5_05 — Consciousness and Information Integration: Phi and Its Critics

Integrated Information Theory (IIT), developed primarily by neuroscientist Giulio Tononi (b. 1960) at the University of Wisconsin-Madison, with significant contributions from Christof Koch (Allen Institute for Brain Scie

integrated information theory IIT phi Tononi Koch consciousness
Verified

INTERDOC_53 — Substrate-Independent Information Patterns: Empirical Cases

A pattern is empirically substrate-independent if the same information content is preserved across changes in the physical material carrying it. Across multiple domains, biology and physics provide concrete instances of

substrate independence information theory bioelectric memory planarian regeneration prion proteins epigenetic inheritance
ZC_1_17 Credible Social Science

ZC_1_17 — Conspiracy Theory Epidemiology: Why People Believe and How Conspiracism Spreads

Conspiracy theories — explanatory frameworks that attribute significant events to the secret machinations of powerful, malevolent groups — are not a modern pathology but a recurring feature of human cognitive and social

conspiracy theory conspiracism misinformation social psychology epistemic threat motivated reasoning
ZA_5_19 Verified Physics & Quantum

ZA_5_19 — Bekenstein Bound: Information Limits and the Physics of Black Holes

The Bekenstein bound — proposed by Jacob Bekenstein in 1981 — establishes a fundamental upper limit on the amount of information (entropy) that can be contained within a given region of space with a given amount of energ

bekenstein bound holographic principle black hole entropy information theory thermodynamics hawking radiation
V_4_23 Verified Mathematics & Information

V_4_23 — Shannon Information Theory: Entropy, Communication, and the Mathematical Theory of Information

Claude Elwood Shannon (1916–2001) published "A Mathematical Theory of Communication" in the Bell System Technical Journal in July and October 1948, founding the field of information theory. Shannon defined information qu

claude shannon information theory entropy bit channel capacity coding theorem
ZC_1_18 Credible Social Science

ZC_1_18 — Conspiracy Theory Epidemiology and Belief Systems

Conspiracy theories — explanatory frameworks attributing events to the secret deliberations of powerful, malevolent actors — are not marginal curiosities but a pervasive feature of human cognition with measurable epidemi

conspiracy-theory misinformation epistemic-vigilance conspiratorial-ideation social-media-radicalization infodemic
ZD_1_15 Verified Information & Computation

ZD_1_15 — Quantum Information Theory: Entanglement, Quantum Computing, and Information Bounds

Quantum information theory — the study of how information is encoded, processed, communicated, and protected using quantum mechanical systems — represents one of the most transformative intellectual developments at the i

quantum information qubit entanglement quantum computing quantum error correction Shor algorithm
ZD_1_16 Verified Information & Computation

ZD_1_16 — Quantum Information Theory

Quantum information theory — the study of how information is encoded, processed, and transmitted using quantum mechanical systems — has emerged as one of the most transformative research fields of the 21st century, unify

quantum-information qubit quantum-entanglement quantum-error-correction quantum-computing bell-inequality
ZD_1_03 Verified 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_1_04 Verified Information & Computation

ZD_1_04 — Coding Theory & Error Correction

Coding theory — the mathematics of reliable communication over unreliable channels — was founded by Claude Shannon (1948), who proved the existence of channel capacity (a maximum rate at which information can be transmit

coding theory error correction Shannon Hamming code Reed-Solomon information theory
V_4_11 Credible Mathematics & Information

V_4_11 — Coding Theory: Error Detection, Correction, and Information Integrity

Coding theory — the mathematical study of error-detecting and error-correcting codes — ensures the reliable transmission and storage of digital information across noisy communication channels, corrupted storage media, an

coding theory error correction error detection Hamming code Reed-Solomon turbo code
ZG_1_17 Credible Linguistics & Communication

ZG_1_17 — Cryptolinguistics and Code-Breaking: Language, Ciphers, and the Science of Secrecy

Cryptolinguistics — the intersection of linguistics, mathematics, and the science of secure communication — encompasses both cryptography (the creation of codes and ciphers) and cryptanalysis (breaking them), as well as

cryptography code-breaking Enigma Turing frequency analysis al-Kindi
ZC_2_15 Verified Social Science

ZC_2_15 — Media Studies and Communication Theory

Media studies and communication theory examine how media technologies and institutions produce, distribute, and shape public meaning. Marshall McLuhan (Understanding Media, 1964) argued "the medium is the message" — the

media studies communication theory McLuhan mass media agenda setting framing