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AI Working Memory
As part of an upcoming book I am writing ( Part 2–3 of Conscious Artificial Intelligence ) I’ve slowly been recreating small artificial models of certain Neural Networks and Cognitive Abilities, the current plan is to create a simple consciousness analog down the line out of these parts, check these previous posts if you need some background:
Recreating Biological Short Term MemoryThe early consciousness of soundEngramsThe Problems With Artificial General IntelligenceSparse Hierarchical Distributed Invariant RepresentationsThe many things AI needs…Neural Synchronization in the brainHearing for robots and AIConscious Artifical Intelligence C.A.I. Foundations.
In this post we will go over Working Memory, which can be considered at the limits of current comercial AIs and future ones, in other words I’ve found that the hard problems of AI and AGI are easy to see ( but not solve ) once you get what working memory is doing and how we are emulating it, but more on that later, let’s start with a quick overview:
What is it ?
Working Memory WM is considered by some ( myself included ) to be different from Short Term Memory STM (although there is plenty of overlap with other areas/functions) and consists of the processes and systems needed to manipulate or use the contents of short term memory, so if short term memory is something you can remember (or recall ) in the seconds to minutes range, working memory is what you can do with that information during that time, I like specific examples, so if STM is remembering a series of numbers, working memory ( WM ) is the ability to do some operation with those numbers like adding them up…
On the top row you are presented with numbers on cards and are tasked with remembering them in the order they are presented, while on the second one you are asked to add them up as…
