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In" Collective Awareness" J. Doyne Farmer tells us some of the best stories of his inspiring and rewarding careers as a datacollector, simulation and forcast.
In" Collective Awareness" J. Doyne Farmer tells us some of the best stories of his inspiring and rewarding careers as a datacollector, simulation and forcast. Each researcher should enjoy new types of information and find new ways to collect new types of it. The" large" datasets " produced by and from the web are of undisputed value for researchers and political decision-makers and will lead to advantages in the years to come that no one has ever thought of.
The first is the type of inference: large amounts of directly monitored datasets are usually more meaningful than smaller amounts of consciously cultured datasets. In my opinion, the suppression of economics by large data-based simulation would be a catastrophe for people. We have serious difficulties with business failure.
It is necessary to create business simulation at a much finer scale, using all the information provided by computer technology and the web. There is a need for new forecasting technology that makes use of the instruments of the twenty-first century. That line goes back to the mid twentieth century when people saw that we had to keep an overview of the whole world.
It began to collect and establish a mechanism for companies to complete business intelligence gathering, to have the survey carried out, to collect a great deal of information on business activities and to use it. Figures are usually delayed because it usually requires a long period of development and the figures are often reworked a year or two later.
This system was designed to work with the constructed model, which also processes highly aggregate, high-level sums of what the business community is doing. Milestones are old-fashioned and the patterns are old-fashioned. It is very useful and it provides a high degree of performance, but it is now obsolete.
We can use the web to collect a wealth of in-depth information on what business is doing at the individual corporate and private levels. There is no need to depend on polls, we can just take the information. We could also use advanced computer technologies to create a simulation of what 300 million business professionals do at the individual user interface.
It is important that we begin to develop a new forecasting technique that works alongside the old one, which makes its forecasts in a completely different way. Doing this could give us a great deal more guidance about where we are going to go and help keep the economical crap from banging the ventilator as often as it does.
On one layer, it is okay to use a optical probe, for example, to capture the structures of neurones, rebuild some neurones and see where they are going, but to know which neurones are connecting to other neurones needs a different detail state. and we can use AI as a new instrument.
I am not a researcher or technology expert, but the theoretical instruments of artifical intelligentsia are algorithmic or computer-based. Also, the dates are problematical. Fruitfulness figures for third, forth and fifth decade females are derived from old 200-year-old recordings. Åaron Sloman, the English philospher, has this great sentence: the room of possible thoughts.
It is the notion that the possible mind universe includes not only the biologic mind that originated on this planet, but also alien mind, and whatever form of biologic or developed mind is possible but never took place, and artifical mind in the whole spectrum of ways we could construct AI.
This is my favorite notion of the possible ghosts' room, trying to faithfully grasp the spatial structures of the possible ghosts in some way. What is the distribution of awareness in this room of possible thoughts? Are you necessarily aware of something that is sufficiently intelligent? Do we need to be aware of what is important for our own intellect?
The notion of awareness must be broken down into different dimensions, all of which appear together in man but can appear separately, or a sub-set of them can appear by themselves in an AI. Up until recently, AI learned nothing. We are trying to formulate theory that we use to find out which are good experiences, and these are the ones we are building.
When we work with the false theory, we make the false projections, we have the false expectation, we make the false experiment, and then we don't get any new information. CONTENT: Writer of The God Delusion RICHARD ROVKINS on the use of the "Genetic Book of the Dead" of animal for the reconstruction of environmental evolution; MacArthur Fellow REBECCA NEWBERGER GOLDSTEIN on "scientific realism", the concept that science theory explains phenomenon beyond what we can see and affect; Writer of Seven Short Lessons on Physics CARLO LAWRENCE on "relative information" that reigns the physics universe around us; theoretic scientist LAWRENCE
Cognition scholar and writer of The Language Instinct STEVEN PINKER on "The Second Law of Thermodynamics"; biogeontologist AUBREY DE GREY on why "maladaptive traits" have been preserved in evolution; KRAUSS on the secret blessing of "insecurity"; BRIAN ENO on " Acknowledging Biases " in the era of the web; Man Booker winner of Atonement IAN MCEWAN on the "Navier-Stokes equations", which regulate everything from meteorological forecasting to airplane construction and circulation;