This page defines the product/output of WBAI related research/development.

According to The Core WBA Hypothesis, a WBAI related work should be concerned with a cognitive architecture satisfying the following conditions:

1. Numeric Vector Representation
   A WBA should employ numeric vector representation as it is to mimic the brain.
2. Modularity
   A WBA should consist of more than one module.
   A WBA is an intelligent architecture consisting of modules that simulate brain organs.
3. Multiple Learning Modules
   At least two of the consisting modules should have learning functions (cf. the Core Hypothesis).
4. Correspondence with Brain Organs
   The structure of WBA should mimic that of the brain. At least two of the modules should be identified as brain organ homologues.
5. Real-time Processing (recommended)
   As intelligence generally interacts with its environment in real-time to solve tasks, WBA as a generally intelligent machine should desirably work in real-time.