The Missing Dimension of Computing: Why Computers Understand Data but Not Value
For nearly seventy years, computer science has gotten remarkably good at one thing: moving data around. Yet for all of that scaffolding, a modern computer still has no idea what value is. To a machine, a transaction is just a number changing in a database. An environmental cost is a column nobody reads. A human life-and-death priority is a variable nobody thought to define. This entry introduces Value Engineering as a new, foundational branch of computer science — the study of how machines can represent, preserve, transform, and reason about value. It closes by introducing Daturrency, a first working theory for turning passive digital money into something that actually understands what it is for.
Authors
- Hassler Juma
- Joseph Njoroge
Institutions
- American Sentinel University (US)
- Sentient Science (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-17
- DOI
- https://doi.org/10.5281/zenodo.21418592
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00