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Is All Learning Associational?
Most probably. This is a domain where animal/human learning and A.I. learning can learn much from each other. Three forms of learning in A.I. Generally, learning in A.I. is divided into two distinct kinds, with a third one dangling in the appendix, referring to another book (*). supervised learning: training with specific input and labeled Read the full article…
From Analogy to Intelligence
If an inference system (mind or A.I.) holds many patterns, it may find many similarities between these at several levels of abstraction. The human brain is an immense pattern recognizer. Super-A.I. will undoubtedly follow a similar path ― as does Lisa. Lisa’s journey thus exemplifies the potential of A.I. to evolve from mere data processors to entities capable Read the full article…
Compassion is about the Optimal Distinction
Here is where rationality and human depth coincide. The optimal distinction validates both. This is also right at the two-sided core of the AURELIS project. Optimal order comes not by attacking ‘chaos’ but by respecting it. This is a profoundly ethical stance with consequences in many fields. Time and again, attacking ‘chaos’ is seen as Read the full article…