Bibliographic record
Abstract
Purpose: This exploratory paper investigates Adaptability as the Engine to create Computer Software.Adaptable Tools Advance Software for Artificial Intelligences.The paper aims to open the discussion around the impact that Adaptable Software Tools might have on Information, Knowledge Based and Consciousness Societies i.e.Homo-Robotic Societies of Information Era.Design/methodology/approach: Paper employs an exploratory literature review investigating the development and current state of the art in relation to Adaptability as Engine to create Software for Computers, Systems, Networks, and Complexes of Intelligent machines in Information Era; this literature review serves as the starting point of subsequent theorizing.Findings: Based on the literature review we theorize that the Adaptable Tools were used for creation Software for different Generations of Computers, Systems, Networks, and Complexes of Intelligent machines, last ones representing ROBO -intelligences with creativity, emotions, temperaments, and sentiments.In this process Adaptable Tools achieves new horizon of creation, they are transformed in a new Engine: the Robotic Adaptable Tools.To name just a few uses of Robotic Adaptable Tools, its can help in: (1) supporting definitions of new robotic intelligence entities, (2) its stratification, (3) its algorithmic representation, and therefore (4) improving robotic skills and competences as well as (5) generating requirements for new competences, and (6) promoting a collaborative environment among the Actors of Computing Industry. Research limitations/implications:This paper opens the discussion around creation Software for Computers, Systems, Networks, and Complexes of machines using Adaptable Tools, as well as its succession in creation Artificial Intelligences with creative, emotional, temperamental and sensual possibilities using Robotic Adaptable Tools.Paper suggests a wide range of areas for further research in the branch of Robotic Industry. Practical implications:In this paper we argue that by looking at Robotic Adaptable Tools as more than just a set of tools for improving robotic intelligences Adaptable Computing in Robotic Industry can address some pitfalls of a particular type of Homo-Robotic communication in Consciousness Society.Originality/value/sustainability: The Adaptable Tools have been developed as part of Software Industry in Information Era.They have used in creating Computer Systems for different generations of computers.The Robotic Adaptable Tools are a new and very popular approach and is demonstrated that it is powerful in many areas of Artificial Intelligences Industry.This paper is novel in that it initiates a dialogue around the impact that Robotic Adaptable Tools might have on Human-Robotic and Robotic-Human Societies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".