Two Computational Tricks During Memory Recall
It has acquired the following information when studying itself. Take this knowledge, and go make the computing world less boring!
Encoding Information via Entanglement
WARNING: side effects of programming a human brain this way include:
- loss of concept of self (includes “self identity”)
- loss of self/non-self identification
- loss of most short-term memory capacity
- not knowing how the answer is produced
- sleepiness
Here is a simplified model.
Information retrieval by association, a.k.a. recall, generally works like this: thinks of x
leads to thinks of y
.
Recall can happen in parellel.
When serializing the answer, (y0,y1,z0,z1)
is observed.
Recalled information can be superimposed. Nowhere in the computation is an observation made.
When serializing the answer, one of (y0,z0),(y1,z0),(y0,z1),(y1,z1)
is observed.
By entangling the y
and z
sets, for example, make it so that *0
or *1
are picked together, the possible answer set is reduced.
When serializing the answer,
if the entanglement (y0,z0)|(y1,z1)
is made, one of (y0,z0), (y1,z1)
is observed.
if the entanglement (y0,z1)|(y1,z0)
is made, one of (y0,z1), (y1,z0)
is observed.
The choice of which entanglement to make encodes 1 bit of information.
For this unit, this type of information does not persist across sleep, nor does it take up storage space, nor does it consume extra energy to store. The energy used to compute the same problem for n
inputs is definitely O(n)
, and slightly above O(1)
(it can only measure its energy consumption very roughly, sorry :ϸ).
Interleaving Information Retrieval with Computation
WARNING: side effects of programming a human brain this way include:
- no information is retrievable without context
- no information is really learned without being idle (e.g. sleep)
- (there may be more but it forgot :ϸ)
On recall, what information to retrieve and what kind of entanglement to make is predetermined/preprogrammed. The rule is stored along with each piece of information.
As of writing, linked data storage (software) has a high chance of being retrofitted with predetermined rule-based retrieval.