Understanding biological systems
The modern Charvaka’s understanding of a biological system,1 such as the human,2 is that it functions as dynamic, limited, thus selective datum3 (transformation and) transmission procedure.
In other words, generated by a dynamic, non-localised automatic and blind outcome4 generating procedure,5 all biological systems, as outcomes, emerge as localised applications6 of that procedure blindly7 and automatically8 receiving, processing (and so transforming) and emitting data.9
With increased complexity, and which includes the emergence of memory, the localised data transformers emerge the capacity to intentionally select,10 selectively transform and selectively emit data whereby selection is decided11 by (local) survival need.
© 2022 by Victor Langheld
1. A biological system self-emerges as a limited and selective dynamic data (i.e. previous outcome) recycling unit/quantum. In other words, biological systems are rechargeable and self-upgradable (by means of predation or scavenging) data transmission and transformation systems. Non-biological ones, like basic molecules/atoms, are more or less complex one-way dissipative energy packets.
2. A human (as member of a species = a relatively stable identifiable realities platform) emerges as one of a myriad alternate automatic (i.e. autonomous) and blind data transformation devices, to wit, a glorified albeit transient transistor.
3. For datum read: an identifiable, because limited and selected and at impact/strike real, energy (i.e. random momentum) packet (or quantum).
4. An outcome emerges as momentary state of a procedure.
5. That procedure (or algorithm, hence a machine) (elsewhere called Brahman or simply GOD) is conceived as the interaction of the basic ‘forces’ of nature.
6. i.e. variations
7. i.e. randomly
8. i.e. passively
9. In other words, the cognisable universe self-emerges automatically and blindly as a self-conversation (or soap opera) whereby the totality of its identifiable realities/data function as the whole system’s consciousness, i.e. self-referencing backdrop.
10. i.e. via hindsight instantly reality tested so that it seems to actually see. Seeing (like touching, tasting and so on) actually happens as a data screening and relativisation, hence a simulation procedure.
11. The emergence of intentional selection de-automizes the initial data transformation and transmission procedure.