The control of autonomous systems requires provision of at least a synthetic form of intelligence or sapience. While descriptions of these are common, there is no current model which relates their definitions to the physical structure of an information-processing system. Sapience is a direct result of hierarchical structure. In this chapter we describe the self consistent general model of a birational hierarchy, and associate data, information, understanding, sapience and wisdom with aspects of its constitution. In a birational hierarchy there are two sapiences, one associated with each hyperscalar correlation, and their interactions support the most general information processing relationship - wisdom. One and the same general model applies both to material structure and information-processing structure: the brain is the unique example of material-structural and information-processing-structural correspondence. We attribute the stabilization of dynamic self-observation to anticipative stasis neglect, and propose that neuron mirroring provides a useful metaphor for all of the brain s information-processing, including the bi-sapient interactions which generate auto-empathy. We conclude that hyperscalar bi-sapience is responsible for Metzinger s -illusory self-, for Theory of Self, presence transfer, and Theory of Mind, and indicate how multiscalar access from within hyperscale provides a massive advantage in promoting survival.
Cottam, R, Ranson, W & Vounckx, R 2008, Bi-Sapient Structures for Intelligent Control. in R Mayorga & L Perlovsky (eds), Toward Artificial Sapience. Toward Artificial Sapience Principles and Methods for Wise Systems, Springer Verlag, London.
Cottam, R., Ranson, W., & Vounckx, R. (2008). Bi-Sapient Structures for Intelligent Control. In R. Mayorga, & L. Perlovsky (Eds.), Toward Artificial Sapience (Toward Artificial Sapience Principles and Methods for Wise Systems). Springer Verlag.
@inbook{a2b00429f868441b9f5bd70464ba78ca,
title = "Bi-Sapient Structures for Intelligent Control",
abstract = "The control of autonomous systems requires provision of at least a synthetic form of intelligence or sapience. While descriptions of these are common, there is no current model which relates their definitions to the physical structure of an information-processing system. Sapience is a direct result of hierarchical structure. In this chapter we describe the self consistent general model of a birational hierarchy, and associate data, information, understanding, sapience and wisdom with aspects of its constitution. In a birational hierarchy there are two sapiences, one associated with each hyperscalar correlation, and their interactions support the most general information processing relationship - wisdom. One and the same general model applies both to material structure and information-processing structure: the brain is the unique example of material-structural and information-processing-structural correspondence. We attribute the stabilization of dynamic self-observation to anticipative stasis neglect, and propose that neuron mirroring provides a useful metaphor for all of the brain s information-processing, including the bi-sapient interactions which generate auto-empathy. We conclude that hyperscalar bi-sapience is responsible for Metzinger s -illusory self-, for Theory of Self, presence transfer, and Theory of Mind, and indicate how multiscalar access from within hyperscale provides a massive advantage in promoting survival.",
keywords = "sapience, wisdom",
author = "Ronald Cottam and Willy Ranson and Roger Vounckx",
note = "Rene Mayorga, Leonid Perlovsky",
year = "2008",
language = "English",
isbn = "978-1-84628-998-9",
series = "Toward Artificial Sapience Principles and Methods for Wise Systems",
publisher = "Springer Verlag",
editor = "Rene Mayorga and Leonid Perlovsky",
booktitle = "Toward Artificial Sapience",
address = "Germany",
}