Book | The Nature and Implementation of Intelligence (feat. Agentic)

I happened to come across a book called 'The Nature and Implementation of Intelligence' at the library. 

Through this book, I started thinking about whether, while the tools we've had so far have been advances of a unit-functional character such as memory, indexing, computation, and processing, the AI of now and going forward is shifting more toward being agentic (an object or instance) - more about the task (an assignment or requirement) or role. 

I'd like to leave a portion of the writing that forms the background of this thoughton the blog here. 

We know memory is important, but we don't know it well.

In computer science, since von Neumann, the memories that serve as a medium for storing something have continuously had their physical performance improved, and have now established themselves as an extremely common and powerful means that, as a simple 'storage device,' surpasses the capability and usefulness of traditional storage media such as bamboo strips, clay, silk, paper, and books (though that doesn't mean they have become a perfect substitute for every storage means).
However, the role of the goddess Mnemosyne does not merely mean leaving a record of an event. Rather, finding and summoning what has been recorded, transforming it, reconstituting it to fit the time - to put it simply, it means not only memory but also every operation upon memory. Therefore, the Mnemosyne algorithm refers to all mechanical methods not only for recording external events but also for finding those records and, by referring to them, deriving appropriate behavior in response to external situations.

In the broad sense, Mnemosyne, as we noted above, can refer to mechanical methods for the entire process of intelligent activity, from 'perception - memory - thought - muscle', while in a narrow sense it can refer only to the memory-thought portion located between perception and muscle. In any case, the Mnemosyne algorithm, as one independent area of implementing intelligence, has the unique characteristic - distinct from many other probabilistic intelligences - of 'making use of memory, and implementing intelligence through operations regarding the reference to and transformation of that memory'  - and in that sense, naming this algorithm 'Mnemosyne' carries its own significance.

We too, as we begin in earnest to explain the algorithms that implement intelligence, can - just as the authors of the Iliad and the Odyssey of old, and Socrates, did - call upon the goddess of memory and pray for the safe accomplishment of our work.

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