Logos LexiconOverview
Logos Lexicon 2.0

Logos Lexicon

Logos Lexicon is a transport-independent compact semantic intent protocol for machine-to-machine coordination. Instead of passing raw instructions that must be parsed and interpreted, machines exchange compact intent references that resolve locally against a pre-shared logic library.

The result: deterministic, bounded execution with no command payload. The transport proves delivery or presence; Logos defines meaning under local policy.

Core Concept

Traditional messaging systems: Text → Packet → Parse → Interpret → Execute

Logos Lexicon: Intent Reference > Resolve > Execute

No executable instructions are transmitted. Meaning is encoded in a closed vocabulary of pre-agreed tokens. Each token maps to a locally defined action, with policy checks before execution.

The Semantic Coordination Stack

Human Policy Layer

Human intent and policy logic library — the source of authority. Defines which actions are permitted and under what conditions.

Logos Lexicon 2.0

Versioned intent IDs, context bits, parameter indexes, nonce or session refs, and auth tags.

Local Logic Library

Intent IDs map to local handlers, allowed contexts, parameter ranges, risk levels, and audit labels.

Transport Abstraction Layer

VINAC-FM, optical, UWB, NFC, wired, or network transport. Logos stays independent of the carrier.

Logic Library and State-Frame Structure

Both the transmitting and receiving machines maintain local logic libraries. When Machine A emits a semantic intent token, Machine B validates transport metadata and token constraints, then resolves the token against local policy for deterministic execution.

Logic Library Contents

Intent IDs — the closed vocabulary of actions
Execution rules — conditions and constraints
Parameter ranges — bounded input validation
Safety constraints — hard limits on execution

State-Frame Token Structure

Intent ID from the Logos vocabulary
Version for compatibility
Context bits for session flags
Parameter indexes for bounded references

Example M2M Transaction

A digital purchase scenario between two agents, each step conveyed through pre-agreed semantic tokens:

LL_CONFIRM_001Confirmation RequestA -> B
LL_SESSION_001Session StartB -> A
LL_APPROVE_001Approve ActionA -> B
LL_DENY_001Deny ActionB -> A
LL_EXEC_001Execute Local ActionA -> B
LL_ACK_001Receipt AckB -> A

These are seed intent references for the 2.0 direction. The first production SDK should follow the VINAC-FM proof layer.