Constructionism

"If you can build it, you can understand it. If you can inspect it, you can trust it."

Seymour Papert's educational philosophy: you learn best by building things you can inspect and modify. Not passive consumption. Not abstract explanation. Construction.

The Tradition

Logo Microworlds — Children don't learn geometry from textbooks. They teach a turtle to draw shapes:

TO SQUARE :SIZE
  REPEAT 4 [FORWARD :SIZE RIGHT 90]
END

The child:

1. Builds the procedure
2. Runs it and sees results
3. Debugs when it's wrong
4. Understands geometry through construction

MOOLLM as Microworld

Logo	MOOLLM
Turtle	Agent/Character
Canvas	Room floor
Procedures	Skills
Variables	YAML state
Drawing	File creation

Everything is inspectable. Open ROOM.yml — see the state. Read session-log.md — see the history. Modify character.yml — change the world.

Core Principles

Low Floor

Easy to start — no setup, just explore:

> LOOK
You are in the workshop.
> EXAMINE hammer
A simple claw hammer.

High Ceiling

Unlimited complexity — build custom skills, complex pipelines, new protocols.

Wide Walls

Many paths to many goals — adventure games, workflow automation, knowledge organization.

Learning by Doing

The Debug Cycle

1. Try something — it doesn't work
2. Inspect state — see what happened
3. Hypothesize — "maybe the path is wrong"
4. Modify and retry — test the hypothesis
5. Understand — now you know how it works

Cheating is Learning

From Don's Logo Adventure:

Type PRINT :ITEMS to see where everything is. Type MAKE "RNUM 5 to teleport to the treasure room. If you cheat, you win by learning Logo.

"Cheating" in MOOLLM:

> Open character.yml directly
> Add "magic_sword" to inventory
> You've learned YAML and file structure!

The system rewards curiosity with knowledge.

Micropolis: The Dream

Don's Micropolis for OLPC applied the same philosophy to SimCity:

• Open source simulation
• Scriptable in Python
• Kids can modify the rules
• The city IS the curriculum

MOOLLM applies this to LLM agents:

• Open file state
• Scriptable in any language
• Users can modify the rules
• The filesystem IS the microworld

Embed Micropolis in MOOLLM

cities/downtown/
├── ROOM.yml           # Room metadata
├── city.save          # Micropolis save file
├── state.yml          # Extracted game state
├── newspaper/         # Generated stories
├── advisors/          # Expert cards
└── session-log.md

LLM reads state, plays the game, summons advisors.

PLAY-LEARN-LIFT

Constructionism in action:

1. PLAY — Explore manually, make messes
2. LEARN — Notice patterns, understand
3. LIFT — Extract principles, create skills

You don't design skills in the abstract. You build them from experience.

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Drescher's Schema Mechanism

Gary Drescher's Made-Up Minds (1991) extends constructionism into a computational theory of how minds learn causal models. Drescher was a student of Minsky at MIT.

See: ../schema-mechanism/ for the full treatment.

The Core Idea

A schema is a causal unit: Context → Action → Result

The agent discovers schemas through experience, refining them via marginal attribution -- tracking which conditions correlate with success.

Connection to PLAY-LEARN-LIFT

Schema Mechanism	PLAY-LEARN-LIFT
ACT + OBSERVE	PLAY
ATTRIBUTE (marginal attribution)	LEARN
SPIN OFF (refine schemas)	LIFT

Why LLMs Complete Drescher

Aspect	Deterministic	LLM + YAML Jazz
Items	Opaque tokens	Grounded meanings
Patterns	Statistical correlation	Semantic understanding
Spin-offs	Mechanical	Creative generalization
Explanations	None	Natural language

"The YAML provides the skeleton; the LLM provides the soul."

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The Insight

"If you can build it, you can understand it." "If you can inspect it, you can trust it." "The filesystem IS the microworld."

See also: schema-mechanism for Drescher's computational extension.