Semi-Conscious Intelligence (SI)
An early attempt at artificial intelligence, SI's were emulations of consciousness before the derivation of a sentience algorithm.
That is, before humanity understood what the process of intelligence was, they developed a number of ways to emulate or simulate conscious behavior based on statistical models and broad sampling databases. These early attempts eventually worked very well (when the bugs were hammered out) at the areas they had been designed to handle. It was even forecast at that time that there was a realm for future SI's (that wasn't the term used at that time, but rather a historian's label for clarity in retrospect as compared to what we call nowadays AI) covering the breadth and depth of human experience once adequate statistical analysis of human behavior and computer storage/processing capabilities were developed.
However, once these SI's were allowed to 'learn' (e.g., alter the weights of the reactions they had been given statistically), it was discovered that these quasi-beings became more and more inhuman in their perceptions. One researcher at the time published a paper titled 'Observations on Logarithmic Perception Disturbances in Learning Artificial Intellects' dealing with the rate of deviation from 'human-norm' responses.
All these data were of much use when another researcher, an early superbright whose name was lost during the nanoswarms, was able to develop an algorithmic representation of the derivation process these SI's went through. This became the underpinnings of what is now called the family of sentience algorithms, and the foundation of modern ailect design.
- Artificial Intelligence - Text by M. Alan Kazlev
The foundation from which AI developed, from Information Age Old Earth. Still a knowledge field in its own right. Artificial Intelligence involves programming computers, non-sentient virtuals, nano, and bots to emulate sophont cognitive abilities, and eventually to acquire sentience in their own right. It involves a large number of interrelated fields, including fuzzy logic, genetic algorithms, neural networks, pattern recognition algorithms, natural language processing, and speech, comlink, or affinitylink recognition. Today many software packages are widely available that can automatically enable most non-sentient computational devices to be provolved to sentience.
- Sublect - Text by M. Alan Kazlev
 a term for an inferior minds (generally, anything less than SI:1).
 a subroutine, a dedicated processing node, a mind that is part of a greater mind.
- Submind Independence - Text by John B
A form of insanity affecting moon-brains and larger, when one or more sub-assemblies loose processing capability either through physical damage or (more likely) through persona alteration, making the subassembly less likely to accept a command to merge back into the whole.
- Subroutine - Text by M. Alan Kazlev, adapted from KurzweilAI
A program, block of programs, sublect, or group of sublects organizationally distinct from the main body of the program or mind, which may be called from within the program or mind. Most high toposophic minds and even medium level ai make extensive use of subroutines.
- Subsentient - Text by M. Alan Kazlev
A simple organism, alife, or bot that is not fully sentient.
- Subsophont - Text by M. Alan Kazlev
A being - whether biological or aioidal, that may be sentient but has not developed true sophonce.
Text by John B
Initially published on 05 July 2002.