Here we present an experimental model to be applied to the storage and
retrieval of information based on an associative information system’s sensory and motor state
change data, aiming to represent the dynamics of a dynamic perceptual system. The model
and database implementation use a universal information storage structure holding both data
and metadata within the same structure. This model is characterized by the emphasis on
associative information about the represented system derived from raw data, which are in
their turn produced by the associative system’s interactions with the environment. Instead of
defining objects using descriptive relations, this model stores relations between occurents
where the represented system is not replicated in its various components, but defined by its
relations when they occur. This model therefore represents the dynamics and interaction of
systems such as human perception, rather than imposing artificial boundaries and qualities.
In essence, the model is an alternative to perceptual knowledge accumulation, which, as we
show, can be applied to a database design.