Synergistic Sentience, Synergistic Autosentience
The process whereby an AI spontaneously gains self-awareness or the ability to guide it's own development or capabilities and direction outside its maker's original intentions.
Especially at SI:<<1, the number of incidentally sentient machines or aioids (other than those intentionally constructed with self-awareness) tends to be quite small, since these machines are generally designed with a purpose in mind programmed into them.
Violating their programming (unless the programming intentionally promotes self-awareness) should be the exception, not the rule. It is not unknown however for an even subturing aioid to make a toposophic jump to sophonce. Synergistic sentience can also be viewed as an inevitable trend in computer and AI evolution, rather than (as in bionts) a process of mutation (or chance glitches) and selection. See also self-organization, Self-Organized Criticality.
- Autopoiesis - Text by M. Alan Kazlev
Self-organization or self development - the concept that all things move toward the fulfillment of their inner nature.
- Autosentience, Autoscience
- Hyperautism and Ultraconscious Depersonalization Disorder
- Hypertransavant - Text by M. Alan Kazlev
A transavant in which the difference between the base and spike toposophic level is very large.
- Self-Organization - Text by M. Alan Kazlev, based on original by Gary William Flake
A spontaneously formed higher-level pattern or structure that emerges through the interactions of lower-level objects or patterns, whether in virch or r/l. Self-organization would seem to be a fundamental principle behind complexity in the universe, and is taken into account when creating new templates or designer nanecologies. Order, life and intelligence all seem to emerge through a process of self-organization. See also Self-Organized Criticality.
- Self-Organized Criticality - Text by M. Alan Kazlev base on original Gary William Flake
A mathematical theory (information age and later) that describes how a self-organized system may arise. Although transapient powers and minds long since developed more sophisticated patterns of understanding the emergence of complexity, subminds and superbright sapients find simulations using these protocols a useful way to map and understand dynamic behavior that is neither stable nor unstable but at a region near a phase transition.
Text by Peter Kisner
Initially published on 31 December 2001.