Meeting/GautamGroup/Sep 3 2021

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In this meeting, Ray stated that people like Gregory Chaitin had thought of information must be represented in terms of digits or characters, such as 0s and 1s. This concrete representation of information can be limiting.

I proposed that all information being presented in terms of symmetry-breaking functions. For example, the head/tail of input lists. This way to thinking about information, allows functions or symbols of arbitrary scales to retain the same property, head/tail, left/right, front/back. The notion of making a distinction between its possible alternative states. This way of using functions to represent information, creates a unity in the types of information. In other words, all information can be represented as function, or verbs, at the same time, all information can be encoded as one of the possible symmetry-breaking states, which are nouns. This allows information to be consistent in the ways that fit its preferred operational or representational context, while keep all content being intact in the chosen type.

This conversation prompted me to read up on the book: Digital Mantra[1]. On page 217, it has the following statement, which can be used to help define how PKC can evolve:

Approaches to using computers in the creative process will vary. Some will take "cognitive modeling" as their point of departure. They will develop programs that are simulations of how the human mind works, or, at least, are based on theories of how the mind works. Harold Cohen aimed to simulate his own creative processes, from drawing a line or a circle a segment at a time to integrating knowl­ edge of the world as a foundation for drawing and painting. Koenig began with a goal of better understanding how he himself composed. A great deal of research, whether in natural language, problem solv­ ing, vision, or artistic creativity, aims to create "artificial intelli­ gences" that are precise models of human intelligence.


References

  1. Holtzman, Steven (August 4, 1995). Digital Mantras: The Languages of Abstract and Virtual. local page: The MIT Press.