| """ |
| Spelke's Core Knowledge Systems |
| |
| Innate priors that are "believed, not computed." These are NOT learned — |
| they are hardcoded constraints that the brain starts with, enabling rapid |
| common-sense reasoning about objects, agents, numbers, geometry, social |
| relations, and physics. |
| |
| Reference: Elizabeth Spelke (2007) "Core Knowledge" |
| Author: Algorembrant, Rembrant Oyangoren Albeos (2026) |
| """ |
|
|
| from .object_system import ObjectSystem |
| from .agent_system import AgentSystem |
| from .number_system import NumberSystem |
| from .geometry_system import GeometrySystem |
| from .social_system import SocialSystem |
| from .physics_system import PhysicsSystem |
|
|
| __all__ = [ |
| 'ObjectSystem', |
| 'AgentSystem', |
| 'NumberSystem', |
| 'GeometrySystem', |
| 'SocialSystem', |
| 'PhysicsSystem' |
| ] |
|
|
