| """ |
| MLE — Morpho-Logic Engine |
| =========================== |
| A novel reasoning AI architecture based on: |
| - 4096-bit binary hyperdimensional vectors |
| - Sparse distributed memory with Hamming distance proximity |
| - Circular convolution binding for semantic composition |
| - Energy-based dynamics for gradient-free reasoning |
| - SIMD-optimized CPU computation (bit-slicing + popcount) |
| |
| Modules: |
| memory — Sparse Address Table with LSH indexing |
| routing — Recursive JIT Routing (beam search) |
| binding — Semantic binding via circular convolution & XOR |
| energy — Energy functions and relaxation dynamics |
| inference — Full reasoning engine |
| |
| Quick start: |
| from mle import MorphoLogicEngine |
| engine = MorphoLogicEngine() |
| engine.add_concept("cat") |
| engine.add_relation("cat", "is_a", "animal") |
| result = engine.reason("cat") |
| """ |
|
|
| __version__ = "0.1.0" |
| __author__ = "MLE Team" |
|
|
| from .inference.reasoning_engine import ReasoningEngine as MorphoLogicEngine |
| from .memory import SparseAddressTable, HammingLSH |
| from .routing import RecursiveJITRouter, RoutingResult |
| from .binding import HRRBinding, BinaryBinding, BindingEngine |
| from .energy import EnergyFunction, RelaxationDynamics, HopfieldDynamics, EnergyModel |
|
|
| __all__ = [ |
| 'MorphoLogicEngine', |
| 'SparseAddressTable', 'HammingLSH', |
| 'RecursiveJITRouter', 'RoutingResult', |
| 'HRRBinding', 'BinaryBinding', 'BindingEngine', |
| 'EnergyFunction', 'RelaxationDynamics', 'HopfieldDynamics', 'EnergyModel', |
| ] |
|
|
