A major decision
BeforeCompare a long list of pros and cons.
AfterFirst eliminate options that violate non-negotiable conditions.
A STEP-BY-STEP INTERACTIVE COURSE
We begin with one subtraction problem and add only one idea at a time. By the end, you will understand why the same mind can become more capable when a problem is represented differently—and be ready to choose those forms in Module 2.
small lessons
new term at a time
assumed background
Switch the writing system. The problem and your brain stay the same.
The value exists, but the writing system gives you no simple column procedure.
The surprise: changing the way the problem is written can change its difficulty dramatically.
You just experienced the entire seed of the idea. Now we will slow it down and name each part.
What exactly changed in the subtraction example?
A paragraph, a map, a timeline, a spreadsheet, and an equation can contain the same underlying facts while making different patterns easy—or difficult—to notice.
Move the slider. No facts are added or removed.
The brief arrived Monday. Design began Tuesday. The customer changed the goal Friday. Engineering started Thursday. Nobody updated the brief. The launch missed by two weeks.
The turning point is present, but easy to miss.
Say: “the form the problem takes”
A representation is the form in which a mind or machine encounters information: words, symbols, pictures, spatial layouts, categories, code, or something else.
Do not confuse it with: mere decoration. A useful representation changes what the user can notice or do.The mind is not working on reality directly. It is working on a particular form of reality.
Where does the thinking actually happen?
A good workbench puts the right pieces within reach, arranges related parts together, and makes the next action visible. A bad one can hide useful parts inside a pile.
Move one control. Watch what becomes easier to see.
Everything is available, but the next move is unclear.
Say: “the thinking workbench”
A cognitive surface is the workspace created by a representation—the visible or manipulable place where reasoning happens.
Do not confuse it with: the physical screen. A notebook page, a card layout, a spoken story, or an internal mental image can also be a cognitive surface.A representation creates the workbench. The workbench determines which parts are visible and reachable.
What makes one workbench more useful than another?
Modern number notation does more than display quantities. It supports moves such as aligning columns, carrying, borrowing, and multiplying. The available moves change how much work the same mind must do.
Change the number of groups, then switch the available move.
Say: “a move I can perform”
An operator is an action a representation makes available or cheap: add, group, compare, filter, rotate, connect, split, simulate, or check.
Do not confuse it with: a person in a control room. Here, the word simply means a permitted thinking move.The form creates a workbench; the workbench makes some thinking moves easy.
What happens when the answer is not immediately visible?
You might test routes, explanations, diagnoses, sentences, business ideas, or mathematical steps. Every attempted possibility spends time or compute.
Move from one box checked to twelve. The key is in box eight.
You have not yet tested the possibility that contains the answer.
Say: “trying possible answers”
Search is the process of considering or testing candidate answers until one meets the goal.
Do not confuse it with: only typing words into Google. Any systematic exploration of possibilities is search.Operators are the moves. Search is using those moves to travel from the starting problem toward an answer.
Why can trying possibilities become overwhelming?
If a route has three possible directions at each of four turns, you do not have twelve possible routes. You have 3 × 3 × 3 × 3 = 81.
First add turns. Then change the choices available at every turn. Each complete branch is one route you might have to consider.
2 choices repeated across 2 turns create 4 different paths—not 4.
Say: “everything I might have to try”
A search space is the full collection of candidate answers, paths, or move sequences that could be explored.
Do not confuse it with: physical space. It is a way to count the possibility field.A representation gives you moves. Repeating those moves creates a field of possible paths.
How can you shrink the possibility field without becoming smarter?
A clue in Wordle, a dietary restriction in a restaurant search, or a budget ceiling in a purchase decision can eliminate entire groups of options.
Each clue rules out half of the remaining doors.
Every door must be considered.
Say: “a rule that removes options”
A constraint is a condition an acceptable answer must satisfy. Once visible, it can rule out candidates before they are tested.
Do not confuse it with: always a limitation to overcome. A useful constraint is often a source of speed and clarity.Search explores possibilities. Constraints make the set of possibilities smaller.
What if the problem is difficult because too many parts are tangled together?
Planning dinner feels like one large problem until you separate menu, shopping, invitations, setup, cooking, and cleanup—and mark the few true dependencies.
Reveal the tasks, then keep only the true dependencies. Watch six assumed steps become three parallel workstreams.
Six tasks are present, but their relationships are hidden.
coordination burden
“Host dinner” hides the parts and their relationships.
Say: “split one knot into smaller problems”
Factorization means dividing a tangled problem into parts that can be solved, checked, or delegated with less interaction.
Do not confuse it with: breaking everything apart. If two parts strongly depend on each other, pretending they are independent creates errors.Constraints remove invalid paths. Factorization turns one large path-finding problem into several smaller ones.
How can the same amount of information feel smaller?
A familiar area code is three digits, but you remember it as one thing. A chess expert sees a known pattern where a beginner sees many unrelated pieces.
Increase how many digits are treated as one meaningful group.
The information is unchanged. Your mind has fewer separate things to hold.
Say: “package many details into one useful unit”
Chunking groups details into a meaningful whole. Compression stores or communicates the important structure using fewer separate units.
Do not confuse it with: carelessly deleting information. Good compression keeps what the next task needs.Factorization makes problems smaller by splitting. Chunking makes them smaller by grouping.
Why is comparison harder when matching facts are far apart?
A comparison table is powerful because your eyes no longer need to memorize a value, travel to another page, find its match, and hold both in working memory.
Bring matching facts closer together until your eyes can compare them directly.
Your eyes must remember a value, move, and find its match.
Say: “bring related facts close together”
Locality means arranging information so things that must be compared or combined are near each other in the representation.
Do not confuse it with: geographic closeness. The closeness may be visual, conceptual, or computational.Constraints, splitting, grouping, and proximity are four different ways a representation can reduce unnecessary work.
When is a problem ready to work on?
“Take a warm trip sometime” becomes workable only after the goal, time window, budget, non-negotiables, and next comparison are separated.
Move from a sentence toward a form that suggests the next action.
“Maybe we should take a warm family trip sometime this winter, but not spend too much.”
Say: “the problem has handles”
A structured problem has named parts and relationships. An operational problem goes one step further: its structure makes a concrete next action possible.
Do not confuse it with: a problem that is already solved. It is merely ready to be acted on.The earlier shortcuts transform a raw situation into a problem with handles.
How does a system learn which attempt is better?
If you inspect a bridge only after completion, an early mistake contaminates everything built on top of it. Earlier checks make correction cheaper.
Add earlier checks. Watch how long the hidden error survives.
Say: “a check that can tell whether it worked”
A verifier is a test, rule, measurement, or judge that can distinguish an acceptable result from an unacceptable one.
Do not confuse it with: guaranteed truth. Every verifier has blind spots and can sometimes be gamed.A structured problem exposes intermediate pieces. Verifiers can now check those pieces before the final outcome.
What exactly should survive from one solved problem to the next?
An apartment decision and a job decision contain different facts. But both can reuse the same comparison rule: put each option in a row and each criterion in a column.
Switch from apartments to job offers. The facts change. Then reuse the rule that still works.
Harbor costs $2,100, has a 12-minute commute, and gets 8/10 for natural light.
Oak costs $1,850, has a 28-minute commute, and gets 6/10 for natural light.
All the facts are present, but you must hold matching details in memory to compare them.
Say: “a small thinking rule I can reuse”
A primitive is a small reusable move or structure. In this example, the primitive is the row-and-column comparison rule—not the apartment facts or the final choice.
Do not confuse it with: a copied answer or a vague lesson such as ‘be more organized.’ It must be specific enough to perform again.Verifiers show that a method worked. Saving the specific method lets the next problem begin with useful structure instead of a blank page.
What determines the kinds of building blocks a system can even notice?
Alphabetical pantry shelves make named items easy to retrieve. Meal-based shelves make possible breakfasts easy to see. Neither arrangement is simply “the truth.” Each serves different questions.
Switch the category system. Then ask: “What can I make for breakfast?”
Easy to find a named item; hard to see a possible meal.
Say: “the categories used to divide reality”
An ontology is the set of object types, categories, and relationships a person or system assumes exist.
Do not confuse it with: a mystical claim about ultimate reality. In practical work, it often means the category system underneath a tool.An ontology decides which primitives exist and which relationships the representation can express.
What should you do differently tomorrow?
The practical habit is simple: identify what you cannot currently see or do, then change how the problem is laid out until that action becomes easier.
BeforeCompare a long list of pros and cons.
AfterFirst eliminate options that violate non-negotiable conditions.
BeforeRead another explanation in the same format.
AfterTranslate it into an example, diagram, procedure, and test.
BeforeArgue harder inside two incompatible stories.
AfterLay out observations, interpretations, needs, and repeating effects separately.
BeforeGenerate more drafts.
AfterInvest in better intermediate checks and reusable components.
Choose the sentence that feels most like your real problem.
USE THE IDEA YOU LEARNED: Use constraints
Say: “try a different problem form and test whether it helps”
A representation experiment holds the goal and facts steady, changes how the problem is encoded, and checks whether a real task becomes easier, faster, or more accurate.
Do not confuse it with: making a prettier diagram. The new form must change performance on a specific task.You can now change a problem’s form, use the moves it exposes, check the result, and retain a method that transfers. Module 2 teaches the major forms you can choose.
KEEP THE LANGUAGE
Every technical term introduced in the course, in learning order.
The form in which a mind or machine encounters a problem.
The workspace where information is arranged for thinking.
A move the representation makes easy to perform.
Trying possible answers and checking what happens.
The full set of answers or paths that might be tried.
A rule that removes impossible or unacceptable options.
Splitting one problem into parts that can be solved separately.
Treating several details as one meaningful unit without losing what matters.
Putting facts that must interact close enough to compare directly.
A problem whose important parts and relationships are labeled.
A structured problem that makes the next action clear.
A check that can tell whether an answer or intermediate step is acceptable.
A small reusable thinking move or structure—for example, one option per row and one criterion per column.
The categories and relationships a system uses to divide reality.
THE WHOLE IDEA IN ONE SENTENCE