MAIN PROBLEMS OF DEVELOPMENT THE COMPUTER SCIENCE AND NECESSITY OF THE APPLICATION OF PHYSICAL PROCESSES
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.
Bibliographic record
Abstract
The problems of evolution the cybernetics and computer science are analysed. Short historical analysis of this problem is represented. It includes Greek abacus and the Peruvian system of nodal counting. The role of Blaise Pascal and Wilhelm Leitzbnitz in establishing the foundations of computer science is noted. The next stage in the development of computer science was the research of Charles Babbage and Lady Ada Lovelace. It was Ada Lovelace, who initiated the programming procedure. The concept of cybernetics as the management of ships originated in Greece. In the 19th century, it was formulated as a science of management by J. Ampere and B. Trentowski. It was completed by N. Wiener, according to whom cybernetics is the science of control in the living and non-living world. Later, cybernetics became the basis of computing. In its bowels, the theory of automatic regulation was expanded and the foundations of modern information theory were formulated. As F. George showed, cybernetics is a synthetic science that includes a number of sciences that are needed to solve the relevant problem. Research has been conducted on the development of the hardware base of modern cybernetics and computer science: from pebbles, nodules and bones to modern optoelectronic systems. Modern computer science has a somewhat broader meaning as defined by N. Wiener. The main task of modern computer science is the formalization of the thesis of the Canadian philosopher L. Hall "Everything that comes from the head is intelligent". In this case, along with the elementary base, programming received significant development. Along with narrow-profile programming languages (Fortran, Pascal), the system programming languages C and cross-hierarchical programming (Python have been created). The structure of computer science has also changed significantly. The further development of computer systems is obviously related to the reduction of time and simplification of the procedure for obtaining the necessary information and including the real physical processes in the procedure of computation. Possible ways of implementing this are also discussed.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it