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You fail to understand the following: there is no "one size fits all" solution to every imaginable engineering problem. Synchronous programming languages are great to solve certain classes of problems, as do functional languages, imperative languages, logic languages, declarative languages, etc.
Actually all languages are equal and they can solve the same problems, and this is already proven. Programming languages differ at the degree of easiness to solve a problem, but signal-based programming goes above all these models, because it is a modelling technique that reflects reality so well that it becomes very easy to solve most, if not all, problems.
All the other programming models are used to emulate signal-based programming. Most programs are a bunch of signals (gui or other type events) and responses. Even functional programs are.
Actually all languages are equal and they can solve the same problems, and this is already proven.
Turing equivalence is not equality. Syntactic sugar matters, which is why some languages are more suitable to certain problems than others. (Otherwise, we'd simply program Turing machines directly.)
While it is true that computation consists of communication and transformation, it is not true that such is synchronous.




Member since:
2005-08-08
> This makes no sense, IMO. Synchronous, signal-based applications abound. There are spiking (pulsed) neural networks, spreadsheet cells, etc... all over the place and they work perfectly.
You fail to understand the following: there is no "one size fits all" solution to every imaginable engineering problem. Synchronous programming languages are great to solve certain classes of problems, as do functional languages, imperative languages, logic languages, declarative languages, etc.
It's OK to be excited about a cool technology; just keep in mind it won't bring world peace (nor automagically solve all software reliability problems).
The best way to obtain software quality is to put the right tools for the job in the hands of open-minded people.