Time, coincidence, and acausality

Here is a brief look at our exploration of novel methods for studying multimodal information in the time dimension.

There is value in understanding events that are temporally and symbolically related but have no observed causal relationship.

Diaconis and Mosteller (2006) noted that “we are handicapped by a lack of empirical work. We do not have a notion of how many coincidences occur per unit of time”.

Transcendental information cascades are a method to fill this gap. We use networks of information recurrence as the unified mathematical framework for the analysis of multi-modal data—for example, spoken language and brain waves.