Nav Lobe

Nav Lobe

Navigation of world‑model states, decision graphs, and UI structures

The Nav Lobe (Navigation Lobe) is responsible for navigating:

• world‑model states
• decision graphs
• UI structures
• multi‑step flows
• task sequences

It is the artificial analogue of the hippocampal navigation system and prefrontal path‑planning circuits.

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🧠 Purpose

The Nav Lobe answers the question:

“Where are we in the cognitive space, and how do we get to where we need to go?”

It provides:

• state navigation
• pathfinding
• sequence planning
• UI traversal
• decision graph exploration

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🔍 Responsibilities

1. World‑Model Navigation

Moves through:

• entity graphs
• causal chains
• event timelines
• semantic clusters

2. UI Navigation

Understands:

• page structure
• DOM hierarchy
• interactive elements
• affordances

3. Decision Graph Pathfinding

Finds optimal paths through:

• plan graphs
• simulation branches
• multi‑agent strategies

4. State Tracking

Maintains:

• current cognitive location
• navigation history
• expected next states

5. Flow Management

Handles:

• multi‑step tasks
• wizard‑style flows
• sequential interactions

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🧩 Inputs

• world‑model state
• UI context
• plan graphs
• simulation results
• memory cues

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📤 Outputs

• navigation paths
• next‑state predictions
• traversal logs
• UI traversal sequences

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🔗 Interactions

• Planning Lobe — provides plan graphs
• UI Context — provides UI structure
• World‑Model Runtime — provides entity graphs
• Action Lobe — executes navigation steps
• ThoughtStream — logs navigation events

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🧪 Example Navigation Path

{
  "from": "homepage",
  "to": "checkout_page",
  "path": [
    "homepage",
    "search_results",
    "product_page",
    "cart",
    "checkout_page"
  ],
  "confidence": 0.93
}

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🧭 Why It Matters

The Nav Lobe gives Syntra Kernel:

• spatial reasoning
• flow intelligence
• UI awareness
• multi‑step coherence
• cognitive navigation

It is the system’s internal navigator.