The Computer from Pascal to Von Neumann
Herman H. Goldstine
In 1942, Lt. Herman H. Goldstine, a former mathematics professor, was stationed at the Moore School of Electrical Engineering at the University of Pennsylvania. It was there that he assisted in the creation of the ENIAC, the first electronic digital computer. The ENIAC was operational in 1945, but plans for a new computer were already underway. The principal source of ideas for the new computer was John von Neumann, who became Goldstine's chief collaborator. Together they developed EDVAC, successor to ENIAC. After World War II, at the Institute for Advanced Study, they built what was to become the prototype of the present-day computer. Herman Goldstine writes as both historian and scientist in this first examination of the development of computing machinery, from the seventeenth century through the early 1950s. His personal involvement lends a special authenticity to his narrative, as he sprinkles anecdotes and stories liberally through his text.
Award History
1 wins · 2 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| Phi Beta Kappa Book Awards: Phi Beta Kappa Award in Science | 1973 | Winner | Official source |
| National Book Award for NonfictionMajor | 1973 | Finalist | Secondary source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
- John von Neumann70%
02 Central places
None extracted with sufficient confidence.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- University of Pennsylvania60%
- Moore School of Electrical Engineering55%
- Institute for Advanced Study50%
03 Suggested argument
No argument inferred with sufficient confidence.
04 Reading orientation
55 / 100 academicTrade / academic crossover
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 78%.