"Vernor Vinge. The Coming Technological Singularity: How to Survive in the Post-Human Era" - читать интересную книгу автора

great driving force in evolution.

Note that I am not proposing that AI research be ignored or less
funded. What goes on with AI will often have applications in IA, and
vice versa. I am suggesting that we recognize that in network and
interface research there is something as profound (and potential wild)
as Artificial Intelligence. With that insight, we may see projects
that are not as directly applicable as conventional interface and
network design work, but which serve to advance us toward the
Singularity along the IA path.

Here are some possible projects that take on special
significance, given the IA point of view:
o Human/computer team automation: Take problems that are normally
considered for purely machine solution (like hill-climbing
problems), and design programs and interfaces that take a
advantage of humans' intuition and available computer hardware.
Considering all the bizarreness of higher dimensional
hill-climbing problems (and the neat algorithms that have been
devised for their solution), there could be some very interesting
displays and control tools provided to the human team member.
o Develop human/computer symbiosis in art: Combine the graphic
generation capability of modern machines and the esthetic
sensibility of humans. Of course, there has been an enormous
amount of research in designing computer aids for artists, as
labor saving tools. I'm suggesting that we explicitly aim for a
greater merging of competence, that we explicitly recognize the
cooperative approach that is possible. Karl Sims [23] has done
wonderful work in this direction.
o Allow human/computer teams at chess tournaments. We already
have programs that can play better than almost all humans. But
how much work has been done on how this power could be used by a
human, to get something even better? If such teams were allowed
in at least some chess tournaments, it could have the positive
effect on IA research that allowing computers in tournaments had
for the corresponding niche in AI.
o Develop interfaces that allow computer and network access without
requiring the human to be tied to one spot, sitting in front of a
computer. (This is an aspect of IA that fits so well with known
economic advantages that lots of effort is already being spent on
it.)
o Develop more symmetrical decision support systems. A popular
research/product area in recent years has been decision support
systems. This is a form of IA, but may be too focussed on
systems that are oracular. As much as the program giving the user
information, there must be the idea of the user giving the
program guidance.
o Use local area nets to make human teams that really work (ie,
are more effective than their component members). This is
generally the area of "groupware", already a very popular