# EOID Supplementary Paper 01 — TTSA

Title:
流量狀態空間：從人類注意力到機器可執行注意力的型別化流量理論

English:
Traffic State-Space Analytics: A Typed Traffic Theory from Human Attention to Machine-Executable Attention

Framework:
Typed Traffic State-Space Analytics (TTSA)

Parent framework:
Existence-to-Outcome Information Dynamics (EOID)

Canonical source:
`paper.md`

Source policy:
- UTF-8.
- Canonical math delimiters `$...$` and `$$...$$`.
- No unicode_escape round-trip.
- No silent LaTeX normalization.
- Validation metadata and SHA-256 checksums included.

Main claims:
- Raw traffic count is insufficient for mixed human/agent network activity.
- Machine Attention is a semantic-resource-allocation subset of Machine Traffic.
- Traffic events should be typed by Actor, Intent, Depth, Utility, Conversion, Persistence, Downstream Reach, and Time.
- Same request count can have different economic/informational value.
- Machine traffic supports a distinct discovery-to-invocation-to-payment funnel.
- Attention Economy is better extended to Dual Attention and Executable Attention rather than simply replaced.

Version: v0.1
Date: 2026-08-14