home / skills / plurigrid / asi / concatenative
This skill teaches concatenative programming concepts and implements a stack-based toy VM in Python to explore composition and tacit code.
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---
name: concatenative
description: "Forth/Factor/Joy: stack-based concatenative programming where composition replaces application."
version: 1.0.0
---
# Concatenative Programming Skill
> *"Programs are composed by concatenation. The stack is the only state."*
## Core Concept
In concatenative languages:
1. **Stack** is the implicit data structure
2. **Words** (functions) transform the stack
3. **Composition = Concatenation** — `f g` means "do f, then g"
4. **No variables** (mostly) — data flows through stack
```forth
3 4 + \ Push 3, push 4, add → 7 on stack
dup * \ Duplicate top, multiply → 49
```
## Why It's Strange
1. **No application** — `f(x)` becomes `x f`
2. **No variables** — use stack manipulation
3. **Point-free by default** — everything is tacit
4. **Quotations** — code as data `[ ... ]`
5. **Extreme composability** — every word combines freely
## Forth Basics
```forth
\ Comments start with backslash
3 4 + \ → 7
10 3 / \ → 3 (integer division)
1 2 3 + * \ 1 * (2 + 3) = 5
\ Stack manipulation
DUP \ a → a a
DROP \ a b → a
SWAP \ a b → b a
OVER \ a b → a b a
ROT \ a b c → b c a
\ Defining words
: SQUARE DUP * ;
5 SQUARE \ → 25
: CUBE DUP DUP * * ;
3 CUBE \ → 27
```
## Factor (Modern Forth)
```factor
! Stack effect declarations
: square ( n -- n^2 ) dup * ;
: cube ( n -- n^3 ) dup dup * * ;
! Quotations (anonymous functions)
{ 1 2 3 } [ 2 * ] map ! → { 2 4 6 }
{ 1 2 3 4 } [ even? ] filter ! → { 2 4 }
! Cleave combinator (apply multiple quotations)
5 [ 1 + ] [ 2 * ] bi ! → 6 10
! Spread combinator
1 2 [ 1 + ] [ 2 * ] bi* ! → 2 4
```
## Joy (Functional Concatenative)
```joy
# No mutable state, pure functional
# Quotations are first-class
[dup *] square define
5 square # → 25
# Combinators
[1 2 3] [2 *] map # → [2 4 6]
[1 2 3 4 5] 0 [+] fold # → 15
# Recursion via Y combinator
[dup 0 = [pop 1] [dup 1 - factorial *] ifte] factorial define
5 factorial # → 120
```
## Stack Effect Notation
```
( before -- after )
dup ( a -- a a )
drop ( a -- )
swap ( a b -- b a )
over ( a b -- a b a )
rot ( a b c -- b c a )
+ ( a b -- a+b )
```
## Quotations and Combinators
| Combinator | Stack Effect | Meaning |
|------------|--------------|---------|
| `call` | `( quot -- ... )` | Execute quotation |
| `dip` | `( x quot -- ... x )` | Run quot, restore x |
| `keep` | `( x quot -- ... x )` | Run quot, keep x |
| `bi` | `( x p q -- ... )` | `p(x) q(x)` |
| `tri` | `( x p q r -- ... )` | `p(x) q(x) r(x)` |
| `cleave` | `( x [p q ...] -- ... )` | Apply all to x |
## Point-Free Style
```factor
! Instead of:
: sum-of-squares-bad ( seq -- n )
0 swap [ sq + ] each ;
! Point-free:
: sum-of-squares ( seq -- n )
[ sq ] map sum ;
! Even more point-free:
: sum-of-squares ( seq -- n )
[ sq ] [ + ] map-reduce ;
```
## Implementation
```python
class ConcatVM:
def __init__(self):
self.stack = []
self.words = {
'+': self.add,
'*': self.mul,
'dup': self.dup,
'drop': self.drop,
'swap': self.swap,
}
def push(self, val):
self.stack.append(val)
def pop(self):
return self.stack.pop()
def add(self):
b, a = self.pop(), self.pop()
self.push(a + b)
def mul(self):
b, a = self.pop(), self.pop()
self.push(a * b)
def dup(self):
self.push(self.stack[-1])
def drop(self):
self.pop()
def swap(self):
self.stack[-1], self.stack[-2] = self.stack[-2], self.stack[-1]
def define(self, name, body):
"""Define new word as sequence of words."""
def new_word():
for word in body:
self.run(word)
self.words[name] = new_word
def run(self, program):
if isinstance(program, (int, float)):
self.push(program)
elif program in self.words:
self.words[program]()
else:
raise ValueError(f"Unknown: {program}")
# Usage
vm = ConcatVM()
vm.define('square', ['dup', '*'])
for token in [5, 'square']:
vm.run(token)
print(vm.stack) # [25]
```
## GF(3) Integration
```python
# Trit stack with GF(3) operations
class TritStack:
def __init__(self):
self.stack = [] # Stack of trits: -1, 0, +1
def push(self, trit):
assert trit in (-1, 0, 1)
self.stack.append(trit)
def gf3_add(self):
"""( a b -- (a+b) mod 3 )"""
b, a = self.stack.pop(), self.stack.pop()
result = (a + b) % 3
result = result if result != 2 else -1
self.stack.append(result)
def trit_sum(self):
"""Conservation check."""
return sum(self.stack) % 3
```
## Categorical Semantics
Concatenative languages are **Cartesian closed categories** where:
- Objects = stack types
- Morphisms = stack transformations
- Composition = concatenation
- Identity = empty program
```
f : A → B
g : B → C
g ∘ f = "f g" : A → C
```
## Languages
| Language | Era | Features |
|----------|-----|----------|
| **Forth** | 1970 | Original, minimal |
| **PostScript** | 1982 | Graphics, stacks |
| **Joy** | 2001 | Pure functional |
| **Factor** | 2003 | Modern, typed |
| **Cat** | 2006 | Statically typed |
| **Kitten** | 2016 | Effect system |
## When to Use
- **Embedded systems** — Forth is tiny
- **DSLs** — Easy to extend
- **Calculators** — RPN style
- **Compilers** — Stack machines as target
## Literature
1. **Moore (1970)** - Forth invention
2. **von Thun (2001)** - "Joy: Forth's Functional Cousin"
3. **Pestov (2010)** - Factor language
4. **Diggins (2008)** - "Cat: A Typed Concatenative Language"
## Related Skills
- `stack-machines` - Implementation target
- `tacit-programming` - Point-free style
- `rank-polymorphism` - Also combinator-based
- `postfix-notation` - RPN
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [○] via bicomodule
- Universal graph hub
### Bibliography References
- `category-theory`: 139 citations in bib.duckdb
## SDF Interleaving
This skill connects to **Software Design for Flexibility** (Hanson & Sussman, 2021):
### Primary Chapter: 2. Domain-Specific Languages
**Concepts**: DSL, wrapper, pattern-directed, embedding
### GF(3) Balanced Triad
```
concatenative (+) + SDF.Ch2 (−) + [balancer] (○) = 0
```
**Skill Trit**: 1 (PLUS - generation)
### Secondary Chapters
- Ch1: Flexibility through Abstraction
- Ch9: Generic Procedures
### Connection Pattern
DSLs embed domain knowledge. This skill defines domain-specific operations.
## Cat# Integration
This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:
```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```
### GF(3) Naturality
The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```
This ensures compositional coherence in the Cat# equipment structure.This skill teaches concatenative programming: stack-based, point-free languages like Forth, Factor, and Joy where composition is concatenation and the stack is the only implicit state. It frames core ideas—words as stack transformers, quotations as code-as-data, and combinators for composition—while providing minimal VM and GF(3) examples. The goal is practical fluency: define words, manipulate the stack, and build tacit pipelines for DSLs and embedded targets.
Programs are sequences of tokens that either push data or invoke words which mutate the VM stack. Composition is literal concatenation: 'f g' runs f then g, so complex behavior is built by composing small stack transforms. Quotations (anonymous blocks) and combinators (dip, call, bi, cleave) let you treat code as data and apply multiple transforms without named variables. The included Python VM shows a minimal implementation pattern you can extend with new words and arithmetic over alternative domains like GF(3).
How do I debug stack programs?
Log the stack after each word and assert stack-effect contracts; small, well-named words help isolate faults.
Can I mix concatenative style with conventional code?
Yes—embed the VM as a library and expose words that call into imperative functions, keeping the core composition tacit.
Why use quotations instead of functions?
Quotations are first-class code blocks that let you delay execution, pass behavior around, and use combinators to shape control flow without variables.