How Models of Creativity and Analogy Need to Answer the Tailorability Concern
John Licato, Selmer Bringsjord, Naveen Sundar Govindarajulu · Atlantis thinking machines · 2014
Analogy is a major component of human creativity. Tasks from the ability to generate new stories to the ability to create new and insightful mathematical theorems can be shown to at least partially be explainable in terms of analogical processes. Artificial creativity and AGI systems, then, require powerful analogical subsystems—or so we will soon briefly argue. It quickly becomes obvious that a roadblock to such a use for analogical systems is a common critique that currently applies to every one in existence: the so-called “Tailorability Concern” (TC). Unfortunately, TC currently lacks a canonical formalization, and as a result the precise conditions that must be satisfied by an analogical system intended to answer TC are unclear. We remedy this problem by developing a still-informal but clear formulation of what it means to successfully answer TC, and offer guidelines for analogical systems that hope to progress further toward AGI.