Naming a process is the first step toward mastering it

Ideas & Philosophy · Published 8 October 2026 Swipe more like this →

In short: Most human problem-solving happens subconsciously, like performing complex symbolic integration without realizing you are using a specific strategy. By identifying and naming these hidden mental maneuvers, we can transition from merely witnessing our own intelligence to deploying it as an instinctive, repeatable skill.

In the Fall 2010 MIT course on Artificial Intelligence, instructor Patrick Winston explores how humans approach symbolic integration—a task many students learned in high school but rarely perform mentally today. The core of this human process is not a simple lookup in a database; rather, it is a sophisticated sequence of transformations. When faced with a complex problem that cannot be solved directly, the mind instinctively applies 'safe and heuristic' transformations to convert the difficult original into a simpler version. This specific lecture focuses on a symbolic integration program developed during the early days of artificial intelligence. The curriculum examines how much knowledge is required for such tasks and how that information is represented.

The goal of these transformations is to reduce the problem until its components are small enough to be recognized from memory—essentially finding them in a mental 'table' of known integrals. This methodology mirrors how we approach many other tasks, such as generating tests or navigating complex logical hurdles. It is a common form of reasoning that most people engage in daily without having a specific name for the underlying mechanics. The instructor notes that these techniques are used in everyday life without people even realizing it. For instance, the process mirrors the way we generate tests to verify different outcomes.

Winston argues that once we give a name to these subconscious processes, we gain 'power over' them. This transition from unconscious habit to conscious methodology allows us to model human intelligence within computer programs. By formalizing how we simplify problems, we can move beyond just understanding how humans think and begin to deploy those same strategies as deliberate skills in artificial systems. This approach allows us to move from witnessing human thought to actually using it as a skill. The ultimate aim is to create programs that can perform these complex mental maneuvers with high efficiency.

General information, not professional advice. Spotted an error? Flag the card or see corrections and complaints.

Intellect Plus is a visual educational discovery platform for exploring fascinating facts and ideas. Brain Food, Not Brain Rot. What is Intellect Plus?

Related

• Is your mind a collection of symbols or a complex neural network?
• Before the neural network revolution, symbolic logic was the dominant path to artificial intelligence.
• Early AI mastered logic puzzles but stumbled over everyday common sense
• The dream of thinking machines began in antiquity, long before the first digital computer.
• Problem solving is studied everywhere from Tower of Hanoi to theorem provers
• How a 1968 masterpiece predicted the rise of our modern digital world
• The architecture of our inner language is built on stories
• How AI models navigate uncertainty using causal relationships
• How combining multiple weak classifiers creates a single powerful intelligence
• How to mathematically determine which model of reality is more accurate
• How to mathematically maximize the width of a decision street
• How stories survive by shifting through multiple points of view

More in Artificial intelligence · More in Ideas & Philosophy · Latest · A–Z · All topics