A minimalist logic design using Turkish morphology for free word order and strict state/identity separation.

Author's Note: I am a linguistics enthusiast, not a professional compiler engineer. This project is a concept design exploring how Turkish grammar rules (agglutinative morphology) could be applied to code logic to make it smaller and more efficient. I am sharing this spec to get feedback on the logic, not to present a finished software product.

Note: Diagrams illustrate structural hierarchy. For the official visual syntax and color-coding, see the "CMYK System" section below.

Logic in Motion.

Free-Order Logic (FOL) is no longer just a specification. We have released a Reference Interpreter (poc.py) that proves the viability of suffix-based state resolution.

• Run the Proof: Use python poc.py to see the engine handle "scrambled" logic strings that traditional languages cannot parse.
• Rule Validation: This update provides a live demonstration of Rule #1 (Order Independence) and Rule #5 (Compound Suffixes).
• The Thesis: By moving logic into the suffixes, we have successfully decoupled execution from the timeline.

In traditional programming, scope and relationship are defined by position.

• Example: Parent { Child { Toy } }
• If you lose a bracket, or if the data arrives in the wrong order, the logic breaks.

This system uses suffixes (via Dot Notation) to "tag" arguments. This creates a hard link between data points, allowing them to exist anywhere in the stream without losing their relationship.

Most programming languages are based on English syntax: Subject -> Verb -> Object. This requires strict ordering and creates "Race Conditions" when data arrives out of sequence.

Free-Order Logic (FOL) is bio-inspired by the agglutinative morphology of Turkish. In Turkish, meaning is encoded in suffixes (Root + Suffix + Suffix), allowing the words to be placed in any order without losing meaning.

• English: "I am going to school." (Order is fixed).
• Turkish: "Okula gidiyorum" OR "Gidiyorum okula." (Order is free).

FOL applies this "Nomadic Logic" to code. By moving the logic into the suffixes, we free the syntax from the timeline.

graph TD
    %% --- TOP HALF: THE OLD WAY (Fixed) ---
    subgraph OLD_WAY [THE OLD WAY: Rigid Tree]
        direction TB
        TP[Tense Phrase] --> NP_Subj[Noun Phrase<br/>Subject]
        TP --> VP[Verb Phrase]
        VP --> V[Verb]
        VP --> NP_Obj[Noun Phrase<br/>Object]
    end

    %% --- SPACING HACK (Keeps top separate from bottom) ---
    OLD_WAY ~~~ FOL_WAY

    %% --- BOTTOM HALF: THE FOL WAY (Your Invention) ---
    subgraph FOL_WAY [THE FOL WAY: Network]
        direction LR
        Core((EVENT CORE))
        Agent((Agent: Who))
        Time((Time: When))
        Loc((Location: Where))
        
        Agent & Time & Loc --> Core
        Agent ~~~ Time
    end
    
    %% --- STYLING ---
    %% Style for the Old Way (Grey/Boring/Rigid)
    style TP fill:#333,stroke:#fff,stroke-width:2px,color:#fff
    style NP_Subj fill:#333,stroke:#fff,stroke-width:2px,color:#fff
    style VP fill:#333,stroke:#fff,stroke-width:2px,color:#fff
    style V fill:#333,stroke:#fff,stroke-width:2px,color:#fff
    style NP_Obj fill:#333,stroke:#fff,stroke-width:2px,color:#fff

    %% Style for the FOL Way (Colorful/Fluid)
    style Core fill:#bbf,stroke:#333,stroke-width:4px
    style Agent fill:#cfc,stroke:#333,stroke-width:2px
    style Time fill:#cfc,stroke:#333,stroke-width:2px
    style Loc fill:#cfc,stroke:#333,stroke-width:2px

Traditional programming languages rely on rigid sequence and nested structures, which introduces three major classes of error. Free-Order Logic (FOL) addresses these architectural flaws at the syntax level:

The Problem: In standard code, if Data A arrives before Data B, the system crashes. The FOL Fix: Order Independence. Because FOL parses tokens based on tags (.s, .t) rather than position, data can arrive in any order—or simultaneously—without causing a deadlock. The logic remains valid regardless of sequence.

The Problem: Looping errors (counting 0 to 9 instead of 10) are a leading cause of bugs. The FOL Fix: Category Addressing (Implicit Loops). FOL eliminates the need for manual counters. By addressing a Category (e.g., Sensor.s) rather than an Index (e.g., Sensor[i]), the command automatically applies to all valid entities. You cannot miscount if you never count.

The Problem: Deeply nested functions (boxes inside boxes) create tangled, fragile code. The FOL Fix: Linear Tag Stacking. FOL replaces nesting with compound suffixes (e.g., Object.s.void). Logic is kept flat and linear, preventing the complexity of deep recursion.

The FOL system maps semantic logic to four distinct channels:

Note: Just like CMYK printing, these layers stack to create the full meaning.

Free-Order Logic is designed to be language-agnostic.

• The "Glyphs" Don't Matter: The specific English suffixes (.s, .neg, .t) are just placeholders. They can be swapped for any language's markers without changing the logic.
• Universal Structure: Because the system relies on agglutinative morphology rather than word order, the logic remains consistent across cultures.
• The Result: A developer in Tokyo and a developer in Istanbul can understand the same data packet's intent, even if they do not share a spoken language. The logic acts as the bridge.

The system uses the following short codes to define roles:

For more complex data streams (such as network packets or precise logic), the specification includes directional and logical modifiers:

Note: In production environments, these text suffixes are designed to be tokenized into integers (e.g., .s → 0x01) to minimize packet size and optimize transmission speed.

Standard Logic: Subject: Dog, Properties: [Brown], State: [Angry]

Free-Order Logic:

Dog.s Brown.p Angry.t

Why this matters: The system separates .p (Identity) from .t (State).

• Efficiency: In a data stream, you only need to send .p once.
• Updates: You can continue sending tiny .t updates (e.g., Happy.t, Sleeping.t) without wasting bandwidth reiterating that the dog is brown.

The Problem: Standard English is ambiguous. The sentence "I saw the man with the telescope" confuses computers. Did I use a telescope to see him? Or did I see a man who owns a telescope?

The Solution: FOL uses suffixes to lock the meaning to the word, creating mathematical certainty.

• Scenario A: The Telescope is the Instrument Man.o Telescope.i (Translation: I used the telescope as an instrument to see him.)

• Scenario B: The Telescope is a Property of the Man [Man Telescope.p].o (Translation: The man with the telescope was seen by me.)

Why this matters: By removing the ambiguity at the data level, the computer doesn't need to "guess" the context. It saves processing power and prevents logical errors in complex systems.

Time is treated as a coordinate, not a linear sequence. Its function changes based on what it is attached to:

• Duration (How Long): When attached to a State (.t), .tm defines the length of that state.
  • Sleep.t 10m.tm → "Sleep for 10 minutes."
• Timestamp (When): When attached to a Command (.cmd*), .tm defines the specific execution time.
  • Wake.cmd 0800.tm → "Wake up at 08:00."

Note: Timestamps are absolute coordinates (like a meeting time), while State Durations are relative (like a timer).

The system distinguishes between a specific ID and a generic Category to determine scope. Explicit "For-Loops" are not required.

• Specific ID: Targeting a unique name affects only that unit.
  • Rose_Unit_4.s Water.cmd → "Water this specific rose."
• Category Name: Targeting a class name affects all units of that type.
  • Flower.s Water.cmd → "Water every flower."

The "God Mode" Principle: If no unique ID is provided, the command is applied universally to the Category.

You are not limited to one suffix per word. Suffixes can be "stacked" to add layers of meaning to a single object. The system reads them from left to right.

• Syntax: [Root][Suffix 1][Suffix 2]...
• Example: Cat.s.void
  • Cat (Root Idea)
  • .s (Role: This is the Subject)
  • .void (State: The subject is missing/unknown)

Why use this? Stacking reduces packet size by combining Identity (.s) and State (.t or .void) into a single token.

Motor.s.hot.t → "The Motor (Subject) is Hot (State)."

Beyond theory, this design offers immediate solutions for software optimization:

The Problem: Open-world games suffer from "save file bloat" because they track thousands of characters. The Solution: Using the Identity.p / State.t split, the game engine doesn't need to re-save the entire character. It only records the tiny suffix changes (e.g., Villager.t.sad). This drastically reduces memory usage.

The Problem: Most smart devices rely on the cloud to "guess" commands, creating lag and privacy risks. The Solution: Because this syntax is unambiguous, it can be processed locally on a chip. A smart light wouldn't need internet to understand Light.o Kitchen.l On.t—creating a faster, private, offline network.

The Problem: Traditional file systems force an item to be in only one "Folder" at a time. The Solution: This logic treats location as an attribute. A single file can possess Work.tag, 2025.tag, and Ideas.tag simultaneously, allowing it to exist in multiple places without duplication.

A contract clause stating that subletting is strictly forbidden (Negated). Tenant.s Property.o Sublet.neg Consent.t Required.t

Tracking a container that is currently being inspected at a specific port location. Container_X.s Port_Rotterdam.l Customs.o Inspect.t Flagged.t

A field nurse logs a patient with a critical penicillin allergy while the tablet is offline. Patient_45.s Conscious.t Pulse_Weak.t Penicillin.neg Morphine.o Administered.t

The logic of Hard Links and State Separation was designed with specific high-stakes environments in mind:

• Low-Bandwidth Communication (Space/IoT): By distinguishing between Permanent (.p) and Temporary (.t) data, systems avoid re-transmitting static information, saving massive amounts of bandwidth in deep-space transmissions.
• Asynchronous Data Streams: In systems where data packets might arrive out of order (like distributed networks), this system rebuilds the logic perfectly without waiting for a specific sequence.
• Bio-Digital Interfaces (BCI): Neural signals are often non-linear "clouds" of data rather than structured sentences. A "Free-Order" syntax is theoretically better suited for interpreting neural input, as it can construct meaning regardless of the sequence.

Free-Order Logic is designed for Quantized Environments—systems where data precision is lost (due to compression) or states are ambiguous (quantum superposition).

• Safe Null States: The .void suffix handles "missing" variables as valid states rather than errors.
• Probabilistic Logic: The .echo suffix (Signal Strength) allows for non-binary values ("Probable"), enabling fuzzy logic.
• Superposition Support: Because tags are independent, multiple contradictory states can be assigned to a single subject simultaneously.

Example: Modeling a Qubit The system can model a qubit in "superposition" (Spinning Up and Down at the same time) before it is measured:

Qubit_Alpha.s SpinUp.t SpinDown.t Superposition.t

Q: Is this a programming language like Python or Java? A: No. It is a Data Serialization Protocol (like JSON or XML). It is a way to "package" information so it can be sent between systems with zero wasted space.

Q: Why use suffixes instead of word order? A: Because word order is "fragile". If a data packet arrives out of sequence in a low-bandwidth environment, a positional system breaks. By using Morphological Tagging (suffixes), every piece of data carries its own "ID badge". You can scramble the order and the meaning stays 100% intact.

Q: What is the benefit of splitting Identity (.p) and State (.t)? A: Efficiency. In standard coding, you often re-send static data over and over. In Free-Order Logic, you establish the Permanent Identity (.p) once, then only stream the Volatile State (.t) updates. This saves massive amounts of bandwidth for IoT and high-latency systems.

This project has graduated from a static specification to an active prototype. We now have a working Reference Interpreter (poc.py) that demonstrates the logical consistency of the suffix system in real-time.

Feedback on suffix expansion and multi-state logic is still highly encouraged!

This project is licensed under the GNU General Public License v3.0 (GPLv3).

• You are free to: Run, study, share, and modify the software.
• You must: Disclose the source code of any modifications and license derivative works under the same GPLv3 terms.
• Why: This ensures that Free-Order Logic remains open and accessible to the community.