The Ouroboros Model in the light of venerable criteria
The Ouroboros Model is a new conceptual proposal for an algorithmic structure for efficient data processing in living beings as well as for artificial agents. Its central feature is a general repetitive loop, where one iteration cycle sets the stage for the next. A monitoring process called consumption analysis yields valuable feedback for the optimum allocation of attention and resources, including the selective establishment of useful new memory entries. In this paper, it will be tried to show that the Ouroboros Model offers much promise to understand whole brain function, and that it fares well in the light of criteria for general artificial intelligence set forth over time.
algorithm consumption analysis schema iterative data processing consistency self-reference