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.
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.
It works like Turkish grammar: meaning is glued to the word itself, so the sentence structure can be flexible.
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:
| Suffix | Meaning | Logic Role |
|---|---|---|
| .s | Subject | The "Doer" or the main entity. |
| .o | Object | The receiver of the action. |
| .p | Permanent | Intrinsic properties (e.g., Color, Species) that do not change. |
| .t | Temporary | Volatile states (e.g., Mood, Location) that change often. |
| .i | Item | An inventory item or attribute attached to the Object. |
| .l | Location | Where the event takes place. |
For more complex data streams (such as network packets or precise logic), the specification includes directional and logical modifiers:
| Suffix | Meaning | Logic Role |
|---|---|---|
| .src | Source | Origin point of the data (e.g., Mars-Rover.src). |
| .dst | Destination | Target recipient (e.g., Earth-Station.dst). |
| .tm | Time | Timestamp or duration (e.g., 1200.tm). |
| .neg | Negation | Inverts the meaning (Boolean NOT). |
| .via | Instrument | The tool or method used (e.g., Radio.via). |
| .q | Query | Marks the data as a question/request. |
| .if | Condition | Marks a dependency (e.g., Error.if Stop.s). |
| .dat | Dative | The indirect object or recipient (e.g., Server.dat). |
| .pl | Plural | Indicates a group or list (e.g., File.pl = Files). |
| .hz | Frequency | The pitch or modulation of the signal (e.g., Click.hz). |
| .echo | Strength | Signal intensity, probability, or confidence level (e.g., Weak.echo). |
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.
Man.o Telescope.i
(Translation: I used the telescope as an instrument to see him.)
[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.
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:
By distinguishing between Permanent (.p) and Temporary (.t) data, systems avoid re-transmitting static information, saving massive amounts of bandwidth in deep-space transmissions.
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.
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.
Modeling 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 is currently a Language Specification (Design Document). There is no compiler yet. I welcome feedback on the logical consistency of the suffix system!