Artificial intelligence is generally defined in relation with the human ability to figure out situations and solve problems. The term may also put the focus on an hypothetical disembodied artificial brain.
Taking the brain perspective makes for easier outlining:
- Artificial brains can build and process symbolic and non symbolic representations, respectively with semantic and neural networks.
- Artificial brains can solve problems applying logic and abstraction or
data analytics, respectively to symbolic and non symbolic representations.
- Like human ones, artificial brains combine sensory-motor capabilities with purely cognitive ones.
- Like human ones, and apart from sensory-motor capabilities, artificial brains support a degree of cognitive plasticity and versatility between symbolic and non symbolic representation and processing.
These generic capabilities are at the root of the wide-ranging and dramatic advances of machine learning.