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Record W2736884337 · doi:10.1089/space.2017.0017

Space Exploration Through Self-Replication Technology Compensates for Discounting in Net Present Value Cost-Benefit Analysis: A Business Case?

2017· article· en· W2736884337 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNew Space · 2017
Typearticle
Languageen
FieldEngineering
TopicModular Robots and Swarm Intelligence
Canadian institutionsCarleton University
Fundersnot available
KeywordsRevenueDiscountingComputer scienceReplication (statistics)Resource (disambiguation)Investment (military)Production (economics)Risk analysis (engineering)Industrial organizationOperations researchBusinessEconomicsEngineeringMicroeconomics

Abstract

fetched live from OpenAlex

Abstract Self-replication technology is a little known technology that is currently under development and that has enormous implications for affordable space exploration. In particular, the prospect of 3D printing of actuators and electronics offers the prospect of realizing a universal constructor, which is the basis of a self-replicating machine. The universal constructor is a general-purpose automated factory that is supported by a number of robotic devices. If programmed appropriately, it can manufacture a copy of itself (as well as other products). We present an overview of self-replication research and its application to colonization of the Moon at very low cost — it offers a means to overcome the high cost of launch through exponential exploitation of in situ resources. Combined with in situ resource utilization, a universal constructor can construct (in theory) almost any product within certain constraints. Indeed, its productivity dwarfs any potential cost reductions in launch costs. We shall focus on defining several critical technological developments. It has potential commercial applications in extremely low-cost manufacturing of solar power satellites for clean energy production for the Earth. Self-replication capability offers a mechanism for offsetting discounting of future revenue (as computed by net present value cost-benefit analysis) by generating exponentially increasing revenue over time. It represents a “Bold” (as advocated by Peter Diamandis) approach for a start-up company, toward which steps are being taken. These steps will be discussed in detail. However, the revolutionary economics will make it challenging to attract capital investment despite eliminating the discounting effect. Nevertheless, a business case can be made despite a long-time horizon of investment due to numerous progressive spin-off applications. Over the long term, self-replication technology could revolutionize space exploration by providing for remote construction of complete (although simple) spacecraft in large numbers from in situ resources. By virtue of this massive productive capacity offered by self-replication technology, missions that are currently considered too expensive or impractical become feasible, for example, space-based geoengineering, asteroid exploitation and/or mitigation, and difficult outer planet locations such as Enceladus, interstellar precursor missions, etc.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.303
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it