Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
AI TechDocKnowledge

The art of thinking · Mental models as thinking tools

Latticework of mental models

Also known as: Latticework of models, Worldly wisdom

In the decision-making literature, a latticework of mental models is Charlie Munger’s image for a broad set of models from many disciplines that a person combines to understand problems, instead of relying on the models of a single discipline; he set it out in his talk “A Lesson on Elementary, Worldly Wisdom” at the USC Marshall School of Business on April 14, 1994.

  • Thinking models
  • Problem solving

In one sentence

Charlie Munger’s 1994 image for combining models from many disciplines to understand problems, instead of relying on one discipline’s models.

Example

A documentation lead looks at a confusing product release with several models at once: first principles (what is actually true), systems thinking (where the boundaries are) and risk thinking (what can go wrong).

Explained in context

Context cards connect this term with others to answer one question. Also in British English and German.

How it applies

  • Munger's argument: Isolated facts are useless unless they hang together on a latticework of theory, and anyone with only one or two models bends reality to fit them ("to a man with a hammer, everything looks like a nail"). He counted the models of hard science and engineering among the most reliable.
  • The mental-model literature: The image was picked up by Robert Hagstrom (Investing: The Last Liberal Art, 2000) and by Shane Parrish's Farnam Street, whose series The Great Mental Models (volume 1, 2019) lists first principles thinking as one general thinking concept among others.
  • Technical documentation: A set of thinking models for writers is a latticework in this sense: each model looks at the same subject from another angle, and together they lead to the documentation decision.

How to read this pool

Entries, context cards and transitional topics

The art of thinking explains ways of thinking — where a method comes from, what it asks of you and how it was adapted later. You meet four kinds of content here, each with its own job:

Glossary entry
Defines one concept or method of thinking: its origin, an example and how it relates to neighboring ideas. “X vs. Y” sections set two methods side by side.
Context card of the art of thinking
A short, self-contained answer to one question about a way of thinking — its lineage, its steps, its limits. These cards are listed on The art of thinking only.
Transitional topicBridges both pools
A context card that bridges both pools: it shows how a way of thinking was adapted into documentation, analysis or quality practice. It sits with the reference context cards and is marked as transitional wherever it appears.
Reference entry or context card
Belongs to the Glossary & Norms Space on regulation, norms and engineering. Entries here link to one only where a method is also an established tool of documentation or quality work, such as the five whys or a user’s mental model.
All context cards of the art of thinking

By knowledge.aitechdoc.world · Published October 2, 2026 · Last reviewed

Source: Charlie Munger, A Lesson on Elementary, Worldly Wisdom as It Relates to Investment Management and Business, transcript at Farnam Street

Definitions follow the cited philosophical and historical sources — primary texts, their standard translations and reference works such as the Stanford Encyclopedia of Philosophy — and, for cognitive psychology, the published research and its reviews, with the state of the evidence named in each entry. They are paraphrased, not quoted, unless a passage is marked as a quotation, and sayings that cannot be traced to a source stay attributed. Examples, comparisons and the notes on how a method was adapted are editorial commentary by knowledge.aitechdoc.world. None of these entries is a norm, a standard or a legal requirement, and applying one never replaces a method that a standard or a law requires.

Seen a mistake? Send us a note!