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Towards a Logical Data Model for Genetics 3 of 4 - Use of Intelligent Machine Architecture as a Tool to Predict and Understand Logic Design in Genetics

Is nature subject to the same constraints as man when designing intelligent systems?



Warren Jones, Lana Rubalsky (2010) "Towards a Logical Data Model for Genetics 2 of 3 - Use of Intelligent Machine Architecture as a Tool to Predict and Understand Logic Design in Genetics", wJones Research, August 2, 2010


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.
Cellular Biology - Stored Purpose (Ema)<br />cell nucleus + {mitochondria / chloroplasts} - Ema soma host with Identity + Gia processor(s)<br />chromatin	- read-only Identity constructed of purpose hypergraph containing contextual fabric and Platonic Forms, sub-forms<br />gene - subset of Identity related to technology synthesis oriented media storage <br />junk / non-coding DNA - Identity contextual fabric and Platonic Forms that define context, shape, coincidence, sequence, state domains, etc. <br />Cellular Biology - Stored Purpose (Mica)<br />cel - L1 Mica system - Instrument, bot<br />cell group	- L2 Mica system - Component Group<br />organ - L3 Mica system - Subsystem, Department<br />body	 - L4 Mica system - Metacomputer Enterprise<br />ecosystem - L5 Mica system - Metacomputer Ecosystem

Correlating Natural and Man-made Models

Let’s assume for a moment a correlation between cellular biology and key components of the existence model architecture (Ema*) and multilevel intelligent cellular architecture (Mica*) that form the basis of Stored Purpose technology.
  • The metacomputer instrument and bot components would be equal to a physical body.
  • The Identity of a machine agent, as defined within the purpose hypergraph and its component contextual fabric and Platonic Forms, would equal the cell's genetic information.
  • The soma that hosts machine Identity and runs the General intelligence algorithm (Gia), would equal the functions of the cellular nucleus and its engines: mitochondria and chloroplasts ... less reproduction.

Variations on a Theme

Having made these assumptions, we can now classify plants, animals and man-made machines as variants of the same Stored Purpose design, each having different Ema engines on the cellular level, i.e. a cell nucleus with mitochondria (SPm) or chloroplasts (SPc) versus a metacomputer soma host running Gia (SPG).
Entity Type - Architecture - Existence Engine - ID<br />animals - stored purpose - cell nucleus w/mitochondria - SPm<br />plants - stored purpose - cell nucleus w/chloroplasts - SPc<br />machines - stored purpose - soma w/Gia processors - SPG

Applications for Stored Purpose in Biology and Nanotechnology

Complete Genomic Translation
It will take about six years to develop and fully debug complex (L4) Stored Purpose systems. Over this period, efforts to create diverse agent Identity templates will produce millions of Form primitives that will enable machine entities to process and understand many if not most symbols on this planet. With the development of that genetic information base, we believe it will become ever easier to create machine genomes that are functionally similar to animal and plant genomes. The availability of source data in purpose hypergraphs that is comparable to data regions in chromatin will provide the genetic equivalent of cryptographic “clear text,” an essential step toward achieving complete solution for decoding genomes. Humans may someday read the particulars of fruit fly wing design as easily as the color depth of a Photoshop image.
A Revised Approach to Nanotechnology
Success with Ema and existence models in general, may cause a reassessment of the current basis and approaches to nanotechnology (O’Brian 2003). Efforts to create synthetic and potentially harmful nanotechnology based upon silicon or more harmful metals will have to be weighed against opportunities for more direct approaches to improving life and the ecosystem by way of biotechnology (SPm, SPc). Amending natural genetic material would be more sustainable and provide opportunities to study in depth governance genes that we theorize exist in the genomes of all entities sustained by the ecosystem ... Forms that ensure all life can be curtailed, will align with Identity, will sustain balance and will remain compatible with the food chain.

Stored Purpose as a Predictive Tool

Although Stored Purpose is at an early stage of development, the authors believe it can already be used to identify some information and processes that "must be" in existential intelligent systems, based upon constraints discovered in the development of Stored Purpose.

Here we illustrate a few predictions, many of which are supported by recent findings in research publications cited in Article #3 of this series.
  1. Genetic information defines the read-only portion of entity Identity.
  2. The makeup of genetic material is a Purpose hypergraph, consisting mainly of contextual fabric, Platonic Form data and synthesis media.
  3. Contrary to a belief in the Artificial Intelligence (AI) community that all intelligent beings begin life as “empty vessels,” most of the information needed to be intelligent, resides in Form primitives defined in Identity, i.e. within the chromosomes of every cell.
  4. The synthesis media used to create biophysical technologies, i.e. “coding” DNA, will comprise a smaller proportion of the overall genetic information in more complex entities. This is due to the expectation that additional read-only Purpose (i.e. chromosomes) and capability (i.e. Goal Pursuit Forms) in complex entities increases the utility of existing synthesized biotechnology such that coding DNA can remain constant as Purpose increases.
  5. In any existential intelligent system, periodic agent “death” would be a required and a systemic part of the upgrade life-cycle, as significant changes to technology available to an agent would require a rebuild of the synthetic file system and regeneration of Valuation statistics. Any such changes while instantiated (i.e. between upgrades) would cause unexpected Prioritization and Curtailment behaviors as well as unmitigated emotion responses which could lead to systemic instability. Accordingly, significant portions of agent Identity would need to be locked and version controlled during agent “life.” Said more simply, genetic information in complex life must be locked down as life matures, and a sustaining ecosystem must ensure all things periodically die.
  6. Identity would be defined by major Purpose groups similar to chromosomes, that cluster high level goal pursuit, sequence and coincidence Forms with subform primitives that define base shapes and context. As entities evolve, newer Purpose would be smaller as it could reuse Form data from pre-existing Purpose as ancestors for new Forms. As such all Purpose groups, except for perhaps the oldest, would share data.
  7. Each cell would physically process a contextual portion of Identity (chromosomes) that defines the cell’s Self in a manner required by the General intelligence algorithm, orienting portions of Purpose (chromosomes) related to cellular function to connect with it’s input/output technology, such as a cell nucleus wall.
  8. Read-only genetic information as well as read-write temporary Form data would be processed and expressed beyond the cell nucleus as part of Plan propagation and Identity re-alignment.
  9. Cells with different roles, would physically orient and use different portions of Identity (chromosomes) during active processing (between cell division).
  10. All cellular constructs within a sustainable system on all levels of Mica complexity (L1 - L4) would be subject to mediation. Thus mediation agents would exist that contain both native Identity and “message” Identity that would used to curtail and amend other entities.

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