User:Cpiral/listofideas

=Process and Structure= A process is a sequences of steps that produces. Power is the ability to do the work of that process.

The computer is called a machine because it is composed of tiny, two-state switches 100 angstroms in size and 23GHz in speed. Control theory can use feedback mechanisms to make corrections to the machine's state. [1]. Closed-systems comprise a single environment described by a state table showing the output for all possible inputs. Any state machine is an automata, preset to respond. They work in a serial fashion, only moving when the system clock opens the gates all at the same time, like a school bell. This serial synchronous operation reflects the need for human designers to work with as few race conditions as possible, and to populate reasonably sized state tables. Designers easily create relatively small and asynchronous, clock-less designs for speed, but they still have a state table, and thus, a closed environment. It is impossible for the current technologies to troubleshoot and incrementally improve an asynchronous logic the size of a CPU, about 300,000 transistors.

Human brain operate in many environments, each of them relatively open. The personal freedoms of the brain range from thinking and speaking to acting and reacting. Input is open to random thoughts, flashes of insight, memories wanted or unwanted can pop into awareness. The outer levels are other people in concentric circles of influence, climate and geography, natural plagues, planetary geophysics, solar activity, space debris and radiation. Neither the composition of space nor the mechanism of life is fully understood, largely because it is an open-system, subject to imperceivable higher dimensions, the closest conception of which might be a four-dimensional space-time. The tiny switches are living cells called neurons, and they have 10,000 states each and operate at 60Hz. There are 150,000,000,000 of them in a brain. Watson supposes they pulse in unison to create vision. They work in an asynchronous fashion that is parallel and serial. fashion.

Life forms eat molecules and dissipate entropy. Electronics eat electricity and dissipate heat. Organisms entropy comprises messy waste products of biochemistry, basically any organic material. Heat is just pure wasted energy, energy that escaped from doing work. Heat and work are the same. Life forms move, from the cellular to the multi-cellular organisms. Non-living forms do not move. Robots are like leaves blown by wind or sticks pushed by a river. The programming code is the current. Both living and non-living have in common, the material interactions and gravity. Pattern recognition foresees material interaction. Gravity like time, keeps everything in place.

There are four known forces in the universe: atomic strong forces, atomic weak forces, gravity and electromagnetism (EM) All four affect both living and non-living, equally. The difference is in the EM force. In computer's it's channeled by doping substrate. In life-forms, it's biochemistry. Biochemistry is more possibly affected by the strong and weak forces than VLSI, so there is an extra, hidden dimension of influence in biochemistry. Also, biochemistry is uses EM in three dimensions, whereas current VLSI uses one. Although it may be multi-layered circuit board nowadays, it's still one dimensional to the individual transistor and it's physics.

=Nature of the intelligence=

The milestones in computer evolution are automatic-programming, adaptive-automatic-programming and the Turing test. Humans do these things already. As our open environment supplies information, we duplicate the ability to process it automatically in the computer. The milestones in human evolution were adaption to environment, development of CNS, and then self-awareness, self development, and self denial.

The first comparison is the level at which artificial intelligence can use words in a convincing way. There is apparently, after much detection work, nothing out of the ordinary going on. This is the Turing test. The second comparison is when a computer can program itself. A self adaptive ability is common to both computers and humans. The third comparison is when computers begin to write policy, based upon the literature and the data. There are areas where humans defer to and take orders from a machine. Then there is a section on security issues. This article will extrapolate into the future, since computers are rapidly evolving.

The areas of possible comparison are actions and knowledge. Artificial intelligence is either neural networks (target the structure), and expert systems (target the content) of the brain. There is a big difference between knowing and acting. Language processing is an act of thinking, based on massive amounts of knowledge. In the area of knowledge, computers will surpass because of their superior memory recal. In the area of action, including thinking and language skills, humans will surpass. Roger Penrose has shown conclusively in The Emperor's New Mind that a computer will not achieve a mind comparable in action to our own.

A computer can be programmed to compete with an enemy combatant in war. So can the other side. This is the comparison of the area of programming skills. Assuming mind over matter, this implies that humans cannot face a bigger overall challenge than themselves. Assuming mind emerges from matter means that humans will continue to make security forces the top priority in the business and politics of artificial intelligence. Ominously, in the latter vein, Lakoff writes of Philosophy in the flesh, showing conclusive evidence that all words and concepts arise from the physical world. The abstractions we toss around are but wisps of cloud or gas. The theories of international politics assume that the underlying motive in all actions is a will to power, and that philosophy is called "realism".

=Strengths and Weaknesses= Computers are serial processors, and humans are parallel processors. Computers are experts in rationality. Humans are mostly irrational.

Natural Language Processing
All language is ultimately about programming. Computers might never understand. Chompsky found no universal grammar for a rule-based machine.

Universities have just started offering courses in Natural Language Processing.

Turing test is when artificial intelligence can use words in a convincing way. There is apparently, after much detection work, nothing out of the ordinary going on.

=Security Concerns= Education is the best side-effect of war campaigns.

The Y2K scare is emblematic of those who fear a computer take-over of the world for itself.

In war between nations, computers are intentionally designed and programmed to compete with humans. Please understand that war is a comparison between humans (who happen to compete in area of machine construction and programming), not a security concern between computers and humans. But war evolves computing and robotics. This in turn does have, as a side-effect, an impact on human computer relations outside the military.

Mainstream political thinking applies realism, which assumes that the main motive for international actions is a will to power. Realism thus drives the evolution of computers by their use as a tool in war (and as a deterrent of war). This evolutionary push, once it "leaks" into civilian life increases the overall levels at which computers compete in processing power with humans at all levels &mdash; linguistic, adaptation, and policy-making.

Winners and Losers
If a computer virus strike causes harm to a computer, and that in turn is damaging to a human the net effect is that the computer won, the human lost. If the loser then applies anti-virus software, then the software company wins, and the effective human-computer struggle is moved to the realms of two camps of humans.

Spam cannot directly harm, but it can easily stress and thus lead to sickness. If spam is reported to a central database, then programmers write analysis programs that seek patterns such that the computer program which can traps and "kill" the human sources of malware.

=The future= Since Computers will evolve more quickly than humans, there needs to be an update frequently to this article. This might be the place to do it.

Computers evolve faster, so an extrapolation is appropriate. If not now, then when will computers beat humans in parallel thinking?

If Moore's law holds, and we now have X transistors on a die, and we need 100 Billion, that's 1x1011, with 10 thousand wires each, that's 10e3, Quality: Our brain cells are connected in patterns in time and space that neither humans nor computers can see clearly enough diagnostically.

=References=

=External Links= Human Level Computers by 2025?

Computer models assess policy risk

The president finds himself in a familiar progressive stew