Concepts of Intelligence

Concepts of Intelligence

If you are to parse documents into keywords, sentences and paragraphs
Like the program of Wordpad which will highlight all the keywords
And link to a dictionary for spellchecks
If you can “understand” your breakdown
With the ability to Link and Compare
Tag with the ability to group in 4,6,8,10 zones
All the closest answers in “Yes” and “No”
With layers and layers of filters
Linking to apps to customise any answers 
It will be the prelude to intelligence
For very accurate searches and groupings
To find the exact information you want
To create links for your information
Taking away the tasks for research and study
To create “intelligence” in software
Example AutoCad, Financial, Engineering software
You can also incorporate into Office Software.
Like AutoCad software I can import any data
Process, Link and Compare any data
To create any views I want to see
Including designs, 3D views, terrian views
Including below the ground surface
Pipings, sewage, gas lines etc
Link it another subset of data to see
The typical customer, his profile and his needs
To plan for additional services like shops and supermarkets
I can create hundreds of views
To get the exact info for planning
To get a perfect view
Depending on your goals you can create an app
(3D search engine/the intelligent software)
Or incorporate it into every single one of your products 
Limitations ;
Input=garbage, output=garbage
Information must be available online
If the knowledge is unknown, I can bring you to the closest answer
A person must have basic knowledge on the topics to answer “yes” or “no”
Based on the above, it is therefore possible to create intelligence
And increase man’s capacity of the brain by 1000 times
Using the Internet, the computer with a highly efficient search and groupings
In the future, it is possible then to increase the gain of the learning curve
Until you do not need an interface anymore.

– Contributed by Oogle.

Linking and Comparing words and phrases

https://www.dlsweb.rmit.edu.au/lsu/content/4_writingskills/writing_tuts/linking_LL/linking3.html

Comparing words and phrases

http://nikpeachey.blogspot.com/2008/11/tool-for-comparing-words.html

When you achieved it in machine language, you would have the tools to invent the next high level language of Intelligent programming.  

– Contributed by Oogle.

A prelude to Intelligent programming

Logic programming is, in its broadest sense, the use of mathematical logic for computer programming. In this view of logic programming, which can be traced at least as far back as Alonzo Church [1932], logical inference can be used in programming. This view was further developed by John McCarthy‘s [1958] advice-taker proposal to use forward chaining under the control of logical propositions. The Planner programming language [1969, 1971] used both forward chaining (invoked by assertions) and backward chaining (invoked by goals).[1]
However, Kowalski [2] restricts logic programming to backwards chaining in the form:

G if G1 and … and Gn

that treats the implications as goal-reduction procedures:

to show/solve G, show/solve G1 and … and Gn.

For example, it treats the implication:

The drive cab is alerted if an alarm signal button is pressed.

as a procedure that from the goal “the drive cab is alerted” generates the subgoal “an alarm signal button is pressed.”
Note that this is consistent with the BHK interpretation of constructive logic, where implication would be interpreted as a solution of problem G given solutions of G1Gn.
The defining feature of logic programming is that sets of formulas can be regarded as programs and proof search can be given a computational meaning. In some approaches the underlying logic is restricted, e.g., Horn clauses or Hereditary Harrop formulas. See D. Miller et al., 1991.
As in the purely declarative case, the programmer is responsible for ensuring the truth of programs. But since automated proof search is generally infeasible, logic programming as commonly understood also relies on the programmer to ensure that inferences are generated efficiently (see →problem solving). In many cases, to achieve efficiency, one needs to be aware of and to exploit the problem-solving behavior of the theorem-prover. In this respect, logic programming is comparable to conventional imperative programming; using programs to control the behavior of a program executor. However, unlike conventional imperative programs, which have only a procedural interpretation, logic programs also have a declarative, logical interpretation, which helps to ensure their correctness. Moreover, such programs, being declarative, are at a higher conceptual level than purely imperative programs; and their program executors, being theorem-provers, operate at a higher conceptual level than conventional compilers and interpreters.

In computer science, imperative programming is a programming paradigm that describes computation in terms of statements that change a program state. In much the same way that imperative mood in natural languages expresses commands to take action, imperative programs define sequences of commands for the computer to perform.
The term is used in opposition to declarative programming, which expresses what the program should accomplish without prescribing how to do it in terms of sequences of actions to be taken. Functional and logical programming are examples of a more declarative approach.

Procedural programming is imperative programming in which the program is built from one or more procedures (also known as subroutines or functions). The terms are often used as synonyms, but the use of procedures has a dramatic effect on how imperative programs appear and how they are constructed. Heavily procedural programming, in which state changes are localized to procedures or restricted to explicit arguments and returns from procedures, is known as structured programming. From the 1960s onwards, structured programming and modular programming in general, have been promoted as techniques to improve the maintainability and overall quality of imperative programs. Object-oriented programming extends this approach.[citation needed]
Procedural programming could be considered as a step towards declarative programming. A programmer can often tell, simply by looking at the names, arguments and return types of procedures (and related comments), what a particular procedure is supposed to do – without necessarily looking at the detail of how the procedure achieves its result. At the same time, a complete program is still imperative since it ‘fixes’ the statements to be executed and their order of execution to a large extent.
Declarative programming is a non-imperative style of programming in which programs describe the desired results of the program, without explicitly listing command or steps that need to be carried out to achieve the results. Functional and logical programming languages are characterized by a declarative programming style.
In a pure functional language, such as Haskell, all functions are without side effects, and state changes are only represented as functions that transform the state. Although pure functional languages are non-imperative, they often provide a facility for describing the effect of a function as a series of steps. Other functional languages, such as Lisp, OCaml and Erlang, support a mixture of procedural and functional programming.
In logical programming languages, programs consist of logical statements, and the program executes by searching for proofs of the statements. As in functional programming languages, some logical programming languages such as Prolog, and database query languages such as SQL, while declarative in principle, also support a procedural style of programming.
Many imperative programming languages (such as Fortran, BASIC and C) are abstractions of assembly language.

The future interface to logical programming can be intergrated to the common english language, even the formulation of mathematical assembly language can be simplified, like the complexity of different languages, all can be interconnected, interpreted and translated. Logical programming will be first interpreted in the english language, then translated to other language like chinese due to it’s difficult nouns, where the use of voice technology will connect everything together. You will get simplicity where intelligence will be intergrated for processing for all languages. In the future, intelligence programming will be the interface for all languages, where voice technology will be the UI. Someone will invent intelligence programming very soon. The Tools of Babel will intergrate all languages of the world, where you speak one language it will be interpreted on the fly, you can also use it to command any user interface. God has given me a glimpse into the future, and I have now found all my missing links. The key to unlocking this is found in the speech analysis software, where if you have the massive codes of analysis, you will find the patterns to link it to the new invention of intelligent programming. The next lifetime in the Perfect Economy, mankind will communicate using thought waves, not voice anymore, by then, we are conquerors of sickness and death. Some will directly get eternal life, or your next generation. I am only paving the way, when Jesus comes everything will then be perfect again.
– Contributed by Oogle.

Without Destructive competition, you get “real Market prices”

Without Destructive competition, you get “real Market prices”

With “Real Market prices”, you get higher wages
If Destructive competition will erode profits
Getting “Real Market prices” will ensure you get maximised profits
The “New Economy” is a knowledge based economy
Where you learn how to maximise profits
Without “Destructive competition”
Like musical chairs every country has a role to play
Every domestic economy
“Maximised profits = maximised returns”
In the end everyone get richer
This is the real “Asset Enhancement” scheme
“What goes around will come around”
Citizens get richer, pay higher taxes
Governments get richer to fund their supluses
To take care of those who fall thru the cracks
In a lifetime poverty and hunger will not exist anymore
We will then reach equilibrium “The Perfect Economy”.

– Contributed by Oogle.

Observation, Testing and Probing is the prelude to Knowledge

Observation, Testing and Probing is the prelude to Knowledge

Just by observation
Then by testing
Then by probing
You can find out all the answers
Even there is missing information
You can fill in the blanks later to get the whole picture
Let me give you an unusual example
If you have previously chased girls
How do you know what type of girls
Are you chasing?
You first observe their body language 
First from afar
Then you try to strike a conversation
From the conversation you probe
To compare the info given
And her corresponding body language
Then you will know what type of girl
She belongs to, it is as simple as that
Likewise her facial expression is a dead giveaway
Combined with her body language
Human beings have an unspoken language
When they lie
The tone of their voice
With the info they provide
It is the greatest lie detector test
They cannot hide their expressions
So it is easy to identify a cheater and a lair
With a video camera that is connected to a pc
And a voice analysis and a body language analysis software
And a facial expression analysis software
You just got to ask questions like in a survey
To analyse the output
The data points are the stress levels for voice
Expressions point of a facial recognition picture
Like the technology for fingerprints recognistion
And the scanning of heat energy output
Of a human figure(for body language)
Including monitoring of changes to the heartbeat
It is with 100% accuracy
Human beings cannot lie
You have been told the Truth by me
This device can complement the airport security
You just need X-ray for baggages
And metal detectors for pass thru gates
By asking the right questions
You can find out everything about the passenger
By using it on a large amount of people
The success rate will increase until there is no way to lie
The logic behind this device is so powerful
If someone tries to be funny
There is no way he can escape detection
Before he face the device he will already shit in his pants
Airport scanners can only detect the external of the body
Even if you can scan the internals of the body
There is still a chance of non-detection
Where the costs of implementation is not high
The accuracy of the device can be enhanced
When one person fail a test
He can be isolated in a room for observation
And I can change anything I want to test him
In this observation room
So normally within 30 minutes
His display and actions will give him away.
The use of retina and fingerprint technology
Can still be compromised
If one is really desperate enough
But not the above technology.

– Contributed by Oogle.

Concepts of Intelligence – A prelude to AI

If you are to parse documents into keywords, sentences and paragraphs
Like the program of Wordpad which will highlight all the keywords
And link to a dictionary for spellchecks
If you can “understand” your breakdown
With the ability to Link and Compare
Tag with the ability to group in 4,6,8,10 zones
All the closest answers in “Yes” and “No”
With layers and layers of filters
Linking to apps to customise any answers  
It will be the prelude to intelligence
For very accurate searches and groupings
To find the exact information you want
To create links for your information
Taking away the tasks for research and study
To create “intelligence” in software
Example AutoCad, Financial, Engineering software
You can also incorporate into Office Software. 
Like AutoCad software I can import any data
Process, Link and Compare any data
To create any views I want to see
Including designs, 3D views, terrian views 
Including below the ground surface
Pipings, sewage, gas lines etc
Link it another subset of data to see
The typical customer, his profile and his needs
To plan for additional services like shops and supermarkets
I can create hundreds of views
To get the exact info for planning
To get a perfect view
Depending on your goals you can create an app
(3D search engine/the intelligent software)
Or incorporate it into every single one of your products 
Limitations ;
Input=garbage, output=garbage
Information must be available online
If the knowledge is unknown, I can bring you to the closest answer
A person must have basic knowledge on the topics to answer “yes” or “no”
Based on the above, it is therefore possible to create intelligence
And increase man’s capacity of the brain by 1000 times
Using the Internet, the computer with a highly efficient search and groupings
In the future, it is possible then to increase the gain of the learning curve
Until you do not need an interface anymore.

Determining Demand before Supply with total control of Supply Chain

by THE NEW YORK TIMES

Producing objects of desire without a price premium over competitors has proven a winning combination
NEW YORK – Something unexpected has happened at Apple, once known as the tech industry’s high-price leader. Over the last several years it began beating rivals on price.

People who wanted the latest Apple smartphone, the iPhone 4S, were able to get one the day it went on sale if they were willing to wait in a line, spend at least US$199 (about S$250) and commit to a two-year wireless service contract with a carrier.

Or they could have skipped the lines and bought one of the latest iPhone rivals from an Apple competitor, as long as they were willing to dig deeper into their wallets. For US$300 and a two-year contract, gadget lovers in the United States could have picked up Motorola’s Droid Bionic from Verizon Wireless, or they could bought the US$230 Samsung Galaxy S II and US$260 HTC Amaze 4G, both from T-Mobile, under the same terms.

Apple’s new pricing strategy is a big change from the 1990s, when consumers regarded Apple as a producer of overpriced tech baubles, unable to compete effectively with its Macintosh family of computers against the far cheaper Windows PCs. But more recently, it began using its growing manufacturing scale and logistics prowess to deliver Apple products at far more aggressive prices, which in turn gave it more power to influence pricing industrywide.

Apple’s innovations – including products like the iPhone, iPad and the ultrathin MacBook Air notebook – are justifiably credited for their role in the company’s resurgence under its chief executive and co-founder Steve Jobs, who died on Oct 5.

But analysts and industry executives say Apple’s pricing is an overlooked part of its ability to find a large audience for those products beyond hard-core Apple fans. Case in point, Apple sold more than 4 million iPhone 4S smartphone over its debut weekend.

People can still easily find less expensive alternatives, with less distinctive and refined designs, to most Apple products. Within the premium product categories where Apple is most at home though, comparable devices often do no better than match or slightly undercut Apple’s prices.

“They’re not cheap, but I don’t think they’re viewed as high-priced anymore,” said Mr Stewart Alsop, a longtime venture capitalist in San Francisco.

Prices in the ultrathin notebook category are an illustration of Apple’s strategy. While there are much cheaper laptops for sale, ranging all the way down to bargain-basement netbooks that cost a few hundred dollars, Apple’s MacBook Air has become a hit among computer users seeking the thinnest and lightest notebooks available. The product starts at US$999 for a model with an 11-inch screen.

On Oct 11, the Taiwanese computer maker Asus introduced its answer to the MacBook Air, a sleek device with a brushed aluminum body that uses Windows. But it was unable to undercut Apple; the Asus computer also starts at US$999. Samsung’s wafer-thin Series 9 notebook, with a comparable set of features, costs US$1,049.

The computer maker Acer, however, began undercutting the cheapest MacBook Air this month with an US$899 ultrathin notebook, the Aspire S series, that has a bigger screen.

The original MacBook Air catered to a more rarefied audience when it came out in early 2008, priced at a whopping US$1,799 for a model with a 13-inch screen. A year ago Apple revamped the notebook to make it thinner and smaller and reduced its entry-level prices to US$999 and US$1,299 for models with 11-inch and 13-inch screens.

Mr Jean-Louis Gassee, a venture capitalist and former Apple executive, said there was a “collective gasp” at how low Apple priced the new MacBook Air.

The aggressive pricing, analysts say, reflects Apple’s ability to use its growing manufacturing scale to push down costs for the crucial parts that make up its devices. Apple has also shown a willingness to tap into its huge war chest – US$82 billion in cash and marketable securities last quarter – to take big gambles by locking up supplies of parts for years, as it did in 2005 when it struck a five-year, US$1.25-billion deal with manufacturers to secure flash memory chips for its iPods and other devices.

By buying up manufacturing capacity ahead of time, Apple forces its competitors to scramble for the parts that are still available, raising costs for their products, analysts say. Apple is the biggest buyer of flash memory chips in the world, according to the research firm iSuppli.

Mr Gassee said Apple’s pricing decision on the MacBook Air made it clear that Apple’s management of its supply chain had become a “strategic weapon”.

Another example of that was Apple’s decision to price the entry-level iPad at US$499 when it was introduced early last year, hundreds of dollars lower than many analysts expected.

“I think everyone was stunned at the cost of the iPad,” said Professor John Gallaugher, who works on information systems at Boston College. “It was a very competitively priced device.”

For a time, Apple’s biggest competitors were unable to go below the iPad’s price with their own tablets. When Motorola’s Xoom tablet hit the market in February, the cheapest model available without a wireless service contract was US$800. Motorola later released an entry-level model with more storage than the least expensive iPad, priced at US$599.

After lacklustre sales, Apple’s major competitors are now finally undercutting the iPad on price, though it is not clear how sustainable that approach is. Motorola recently announced a plan to offer an entry-level Xoom tablet for US$379 at Best Buy stores for a limited time. After Hewlett-Packard, having missed sales goals, announced plans to discontinue its TouchPad line of tablets, it dropped the price of its cheapest model to a fire-sale US$99.

The most credible challenge to the iPad is likely to come from Amazon’s US$199 Kindle Fire tablet, which goes on sale next month. While analysts say they believe Amazon will lose money on each device sold, the Internet retailer’s plan is to use the device to encourage purchases of other Amazon products and services, like e-books.