[!] WORK IN PROGRESS // EXPERIMENTAL PROTOTYPE ACTIVE // RESEARCH DATA SUBJECT TO CHANGE
TECHNICAL SPEC // ENGINE

LOGICAL ENGINE

SUBJECT: Recursive Search & Geometric Movement Search

CubeX³ — 8×8×8 tensor field in starting position
8×8×8 TENSOR FIELD · STARTING POSITION · 3D MODE · SLICE / AI / EDIT / HELP

The Search Kernel

The CubeX³ engine implements a high-performance **Minimax** algorithm with **Alpha-Beta pruning**. Despite its "Genesis" status, the kernel manages deep-tree searches across an 8x8x8 3D grid, evaluating thousands of positional states per turn.

// ALPHA-BETA PRUNING

Optimizes search efficiency by discarding branches that cannot possibly inform the final decision, maintaining competitive latency on edge hardware.

// RECURSIVE DEPTH

Fixed-depth lookahead optimized for immediate tactical response (Genesis Build limitation). The current engine prioritizes breadth of move generation over depth due to the high branching factor of 3D space.

Geometric Move Calculator

The `moveCalculator` is a pure-function engine that translates traditional chess movements into 3D vector space. It handles complex triagonal and cross-axis constraints inherent to the 512-cube board.

  • Triagonal Vectors: Movement across all three axes (X, Y, Z) simultaneously.
  • Collision Avoidance: Real-time pathing checks for line-of-sight pieces (Rooks, Bishops, Queens).
  • Fractal Phase Check: Validating movement for 'Fractal' class units with state-dependent rank upgrades.

Roadmap: The Path to Cognitive Depth

To achieve the theoretical maximums of the 8x8x8 lattice, the following engineering milestones are prioritized for the "Exodus" build:

  • Iterative Deepening: Allow the engine to search deeper if time permits.
  • Quiescence Search: Extend depth for "volatile" positions (captures/checks) to mitigate horizon effects.
  • State Optimization: Migration from object-heavy representation to flattened Int32Array/Bitboards to unlock millions of nodes/sec.

// GENESIS NOTE

This move-calculator logic was so pervasive during development that it famously interfered with the author's CS-161 final. While the exam demanded manual procedural syntax, the author was already leveraging AI to architect high-dimensional vector spaces—proving that the ability to orchestrate complex logic is the superior engineering path.