NICK@AI.AI.MIT.EDU (Nick Papadakis) (05/27/88)
Date: Mon, 9 May 88 23:11 EDT From: larry@VLSI.JPL.NASA.GOV Subject: Philosophy: Informatique & Marxism To: ailist@kl.sri.com X-ST-Vmsmail-To: ST%"AIList@kl.sri.com" Resent-Date: Tue, 10 May 88 02:06 EDT Resent-From: Ken Laws <LAWS@KL.sri.com> Resent-To: ailist@ai.ai.mit.edu --The following bounced when I tried two different ways to send it directly. Gilbert Cockton: Even one reference to a critique of Systems Theory would be helpful if it includes a bibliography. If you can't find one without too much trouble, please send at least a few sentences explaining the flaw(s) you see. I would dearly love to be able to advance beyond it, but don't yet see an alternative. --The difficulty of formalising knowledge. Cockton makes a good point here. The situation is even worse than he indicates. Many, perhaps most or all decisions seem to be made subconsciously, apparently by an analog vector-sum operation rather than logical, step-by-step process. We then rationalize our decision, usually so quickly & easily that we are never aware of the real reasons. This makes knowledge and procedure capture so difficult that I suspect most AI researchers will try (ultimately unsuccessfully) to ignore it. --Marxism. Economics is interesting in that it produced a cybernetic explanation of production, value, & exchange (at least as early as the 17th century) long before there was cybernetics. Marx (and Engels) spent a lot of time studying & explaining this process, and much of their work is still useful. Other parts have not been supported by advances in history & knowledge. The workers (at least in America) are predominantly opposed to revolution and support capitalism, despite much discontent about the way bosses treat them. Part of this may be because our society holds out the hope that many of us can become bosses ourselves. Another reason is that many workers, either directly or through retirement plans, have become owners. Technology has also differentiated the kinds of workers from mostly physical laborer to skilled workers of many different types who sympathize with their own subclass rather than workers in general. Further, once workers feel they have reached an acceptable subsistence, oftentimes they develop other motivations for work having nothing to do with material concerns. People from a middle-class or higher background often stereotype the "lowest proletariat" as beer-drinking slobs whose only interest is food, football, and sex. Coming from a working class background (farmers and factory laborers), I know that "doing a good job" is a powerful motivator for many workers. The "higher proletariat" (who are further from the desperate concern for survival) show this characteristic even more strongly. Most engineers I know work for reasons having nothing to do with money; the same is true of many academics and artists. (This is NOT to say money is unimportant to them.) Just as the practice of economics has deviated further & further from the classical Marxist viewpoint, so has theory. Materialism, for instance, has changed drastically in a world where energy is at least as important as matter, which has itself become increasingly strange. Too, the science of "substance" has been joined by a young, confused, but increasingly vigorous, fertile and rigorous science of "form," variously called (or parts of it) computer science, cybernetics, communications theory, information science, informatique, etc. This has interesting implications for theories of monetary value and the definition of capital, implications that Marx did not see (& probably could not, trapped in his time as he was). Informatique has practical implications of which most of us on this list are well aware. One of the most interesting economically is the future of guardian-angel programs that help us work: potentially putting us out of a job, elevating our job beyond old limits, or (as any powerful tool can) harming us. And in one of the greatest ironies of all, AI researchers working in natural language and robotics have come to realize the enormous sophistication of "common labor" and the difficulties and expense of duplicating it mechanically. Larry @ jpl-vlsi