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Mettica

Subject

Formal Sciences

The formal sciences study structure in its purest form: systems of symbols, rules, and proofs that do not depend on observation. Logic, mathematics, statistics, the theory of computation, and the formal study of decisions and systems supply the tools that let reasoning in every other field be checked rather than merely trusted. Mettica connects each formal system to the intuitions it makes precise.

Lessons in development

Structured lessons for formal sciences are being designed. The disciplines and connections below show how this subject will be organized.

In development

Disciplines

What Formal Sciences covers

6 disciplines. Each is listed under one subject for browsing, and many connect to others.

Logic

Formal systems of inference, proof, and truth, and the limits of what can be proved or computed.

Propositional & predicate logic · Proof theory · Model theory · Set theory

Related: Philosophy

All 6 subfields
  • Propositional & predicate logic
  • Proof theory
  • Model theory
  • Set theory
  • Computability theory
  • Non-classical logics

Mathematics

Structures of number, space, change, and chance, developed through proof.

Foundations · Algebra · Analysis · Geometry & topology

Related: Natural Sciences

All 8 subfields
  • Foundations
  • Algebra
  • Analysis
  • Geometry & topology
  • Number theory
  • Discrete mathematics & combinatorics
  • Probability theory
  • Numerical & applied mathematics

Statistics

Learning from data under uncertainty: summarizing, inferring, and designing studies.

Descriptive & exploratory statistics · Statistical inference · Experimental design & sampling · Regression & predictive modeling

Related: Social Sciences · Applied Sciences

All 5 subfields
  • Descriptive & exploratory statistics
  • Statistical inference
  • Experimental design & sampling
  • Regression & predictive modeling
  • Multivariate & time-series analysis

Theoretical Computer Science

What can be computed, how efficiently, and how information is represented and protected.

Automata & formal languages · Computational complexity · Algorithms & data structures · Semantics & type theory

Related: Applied Sciences

All 6 subfields
  • Automata & formal languages
  • Computational complexity
  • Algorithms & data structures
  • Semantics & type theory
  • Information theory
  • Theoretical cryptography

Decision & Game Theory

Formal models of choice, strategy, collective decision, and optimization.

Decision theory · Game theory · Social choice & mechanism design · Operations research & optimization

Related: Social Sciences

All 4 subfields
  • Decision theory
  • Game theory
  • Social choice & mechanism design
  • Operations research & optimization

Systems Theory

Abstract models of feedback, control, networks, and complex dynamic behavior.

Cybernetics & control theory · Dynamical systems & complexity · Network theory

Related: Natural Sciences · Applied Sciences

All 3 subfields
  • Cybernetics & control theory
  • Dynamical systems & complexity
  • Network theory

Connections

Concepts shared with other domains

These concepts pass through formal sciences and continue into other fields.

Depth

Four depths for every concept

Lessons in this domain will follow Mettica’s depth model, from first orientation to research-level questions.

  1. Level 1

    Intuitive

    Orient the learner before requiring specialized vocabulary.

  2. Level 2

    Conceptual

    Make distinctions and relationships explicit.

  3. Level 3

    Formal

    Introduce the technical representation appropriate to the field.

  4. Level 4

    Advanced

    Expose complexity rather than conceal it.