Context and event-based cognitive memory constructs for embodied
intelligence machines
Abstract
Any algorithm that needs to “understand” information to be capable of
taking “intelligent” decisions, needs to access a lifetime of memories
and experience the world as an embodied consciousness. This paper
emphasizes these concepts and proposes a few fundamental constructs that
provide algorithms with the capability to understand the human world,
build larger sets of cooperative machines and perform causal inferences
without requiring human intervention.