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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.