Thought

Forecasting future by replaying the past.

A thought is a sequential activation of linked pieces of information. Information may have been stored as crisp unique experiences. Multiple crisp past experiences have often been mixed up together into templates representing a fuzzy mean value.
From present activated stimuli or from already activated ideas, templates are activated. This activation tries and moves forward through the upper levels of memorized knowledge.
Several kind of levels shall be specified:
- Time scale levels, from tenth of seconds to hours.
- Association levels, from local sensor groups to large associations.
- Abstraction level, from crisp automatic response to philosophy.
In order to reach the upper levels, this activation needs support from the lower levels. Several rules shall drive this activation process.
- A node is activated if a sufficient amount of its inputs are activated.
- An activated node may include non-activated inputs.
- Non-activated inputs in an activated node represent predictions or actions to be done.

A thought is triggered either by a stimuli or by another thought.
A thought is driven by past experience.