Between 2006 and 2010, the authors designed a means to achieve intelligent existence for the purpose of developing a better, more useful computer. To develop a practical platform, it was necessary to architect the full life cycle design with consideration for commercial use and real-time performance. As that design was refined, made more practical and more complete, it began to substantially resemble designs in biology.
Assuming a continued increase in correlation between the architectures of biology and Stored Purpose (SP), it will likely be possible to use the SP existence model (Ema) and Multilevel intelligent cellular (Mica) architectures to gain a more complete and ultimately predictive understanding of genetic logical data.
The goal of this paper is to introduce a new approach to the study of genetics. We will describe life and machines as variants of the fundamental design used to develop machine intelligence and then explore use of man-made existence models as a path to explain nature at a new logical level.
Note, this paper is provided only to illustrate possibilities. Stored Purpose architecture will evolve rapidly in coming years as will any predictions based upon its design.
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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

One nature of the technology we call the Existence Model Architecture (Ema) is that it employes genetic software, specifically information that defines the Identity of a Self-aware information processing system. Genetic software, unlike procedural programs, defines the shape and nature of the Goals of an entity. Such systems, rather than run their software, align measured and predicted states in local contexts with platonic descriptions of goal states, as the entity traverses context. While this radical new approach to systems design may at first seem complex, it is something we may all have intimate familiarity with, as it is highly analogous to the bio-genetic information processing in our every cell.
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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

Erwin Schrödinger wrote of the gene is an information carrier (Schrödinger 1944). Although he was suspect of attempts to define its physical structure as a pathway toward understanding its true nature, he was, as evidenced by the calculations in the Figure, very much aware of the gene’s information carrying potential. Note that his observations were made a decade before Watson and Crick would discover the double helix or Eckert and Mauchly would invent the programable computer.
The common thread that differentiates non-existence from existence is molecular structures that contain DNA, such as chromatin. This was proven conclusively in 1952 by Hershey and Chase (Watson 1980) and strongly suggests the information carrier of the gene, must contain the information needed to create and sustain life, which is a superset of intelligent existence.
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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

List of reference materials for the series.



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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

Do we now have a path to determine the detailed information in chromosomes? Will the genetic design of man-made intelligent systems help uncover design details of biology?

Article #1, Thought Experiment: Thomas Edison receives a broken iPod We explore two levels of discovery into an unknown, complex information based system, first Edison’s team operating “blind” and later “sighted” with the aid of a computer manual.
Article #2, Genetic Software How do you put intelligence in cloud infrastructure? It's all about the "software".
Article #3, Understanding Logic Design in Genetics, Ten (10) Predictions
Is nature subject to the same constraints as man when designing intelligent systems? In this paper, we assume the answer is "Yes"and use our knowledge of Ema to make ten (10) preliminary predictions about the nature of genetics.
Article #4, Predicting the Nature of Genetics, a Deeper Dive
As a continuation of Article #3, we explore our preliminary predictions in greater detail citing recent studies.

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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

In this article, we consider the requirements for knowing precisely the content of genetic material and the workings of the mind by going beyond the test and observe method in genetics and neuroscience.
At a Glance:
1. Thought Experiment: Could Edison in 1901 have reverse engineered a broken iPod without a computer manual?
2. Current methods in the study of genetics and neuroscience are similar to the Edison-iPod thought experiment in that they probe and test without a model of the underlying logical structure of existence or the mind.
3. Stored Purpose offers a general reference manual for genetics and neuroscience by providing a transparent and documented architecture of how intelligent existence is constructed.
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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture