This page explains how TinyCog is supposed to implement a list of competencies that are required for general Intelligence.
Perception, Perception Pyramid and One World Problem
How does TinyCog create a single coherent world-model based on ambiguous and possibly contradictory sensor information?
TinyCog proposes a new approach for perception that is capable to unify data from multiple sensors. The 3D Reconstruction page shows the schematic algorithm. Instead of aggregating the sensor data to increasingly higher-level structures (from textures and edges to surfaces and objects), we propose to:
- start with an "initial scene" composed of a number of objects, to
- "render" this scene appropriately for the specific sensor and finally to
- compare the rendered scene with the actual sensor data in order to calculate a "delta".
The detailed algorithms are explained in the Perception Pyramid page.