The Quest for the Secret Formula

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Once upon a time, there was a very beautiful princess named Shower who had
difficulty finding a husband because of being so choosy. She wanted her husband
to be brave and wise to rule the kingdom the way she would want it.




The King was worried of his condition for anytime he might die. If he dies with
the princess having no partner in ruling, it is possible that there will be
chaos in the kingdom.


He decided to invite all the princes from the different kingdoms to compete and
be chosen as the husband of the princess.



All the princes immediately gathered. The king announced that they have to go to
the mountain owned by a giant named Tiny, to get the secret formula of the
shampoo that the giant is using.



Upon hearing this announcement, most of the prince went back to their respective
kingdoms because the mountain is very far and they don’t know what the giant can
do to them.



But, there were three brave, strong, handsome, and young princes left. They were
Prince Procopio from the kingdom of Townsville, Prince Policarpio from the
Jigglytown, and Prince Pirnandu from the kingdom of Seawall.



With too much braveness, Prince Procopio decided to go first. On his way to the
Tiny’s place, he went very hungry but he coudn’t find any food even just a
single food. When he arrived at Tiny’s place, he immediately talked to Tiny in a
peaceful manner. He told the giant what his intention was and Tiny told him its
okay but he should stay, for Tiny is alone and lonely. He asked Prince Procopio
to get a turkey and Prince Procopio could do whatever he wanted to the turkey.
But without him knowing that whatever he would do to the turkey, would also be
done to him. Prince Procopio was very hungry; he roasted the turkey and ate it.
But shortly after he savored the turkey’s sweet meat, Tiny also roasted him that
he died even before he was completely cooked.





After one week Prince Policarpio followed Prince Procopio. When he got to Tiny’s
kingdom, he was also given a turkey and told to do whatever he wishes to do it.
Because of his cruelty he immediately beheaded the turkey. Just like what
happened to Prince Procopio, the beheading also happened to him.




Then, the next and the last was Prince Pirnandu. He was very wise. He wondered
what happened to the two princes, and why they were not able to come back. He
thought of bringing and eating a lot of food on his way. Upon arriving at Tiny’s
place, Pirnandu suffered LBM. He asked Tiny where he can defecate. He lost a lot
of his body waste and the whole place was very smelly, dirty, and stinky.




After a while, Pirnandu told Tiny what’s his purpose of coming. Just like what
Tiny said to the other princes he told Pirnandu that it’s okay but he have to
stay for a while and then he gave Pirnandu a turkey and told him that he can do
whatever he want to do to the turkey. Upon receiving the turkey, Pirnandu felt
very happy and treated the turkey just like his own pet. He fed the turkey with
the food left in his bag. Just after he finished feeding the turkey Tiny came
with a bunch of food and gave it to Pirnandu. After eating, Pirnandu slept with
the turkey and Tiny also slept beside him.




Then, when he woke up, Pirnandu realized that Tiny is doing whatever he does to
the turkey. He took the turkey and look at the turkey’s Anus. He told Tiny that
he’s going to kiss the turkey’s anus because it looks like lips. Tiny thought
that if Pirnandu kiss the turkey’s anus, he will be kissing too and he laughs at
it. Knowing that Pirnandu know about his secret already, he congratulate
Pirnandu and gave him the secret formula.




Pirnandu went back to Princess Shower’s kingdom and marry her and they live
happily for many years.

USER AGENTS

User agents (sometimes called personal agents) are intelligent agent that
take action on your behalf. In this category belong those intelligent agents
that already perform, or will shortly perform, the following tasks:

  • Check your e-mail, sort it according to priority (your priority), and alert
    you when good stuff comes through – like college acceptance letters.
  • Play computer game as your opponent or patrol game areas for you.
  • Assemble customize reports for you. There are several versions of these. A CNN
    Custom News bot will gather news from CNN on the topics you want to read about –
    and only thus topics.
  • Find information for you on the subject of your choice.
  • Fill out forms on the web automatically for you. They even store information
    for you for future references.
  • Scan Web pages looking for and highlighting the text that constitutes the
    “important” part of the information there.
  • “Discuss” topics with you from your deepest fears to sports.

BUYER AGENTS

Buyer agents travel around a network (very likely the Internet) finding information and bringing to back to you. Buyer agents are also called shopping bots. These agents search the internet for goods and services that you need and bring you back the information.

A buyer agent or shopping bot is an intelligent agent on a web site that helps you, the customer, find products and services you want. Shopping bots work very efficiently for commodity products such as CDs, books, electronic components, and other one size fits all products.

Shopping bots make money by making advertising space, conducting special promotion in cooperation with merchants or charging click trough fees which are payments to the site that provide the link to the merchant site. Some shopping bots give preferences to certain sites for a financial consideration. The people who run the shopping bot sites have two competing objectives they want to present as many listing as possible to the costumer in the most useful way, but they also want to make money doing it.

MySimon.com is the most successful shopping bot to date with more than a million visitors a month according to Nielsen/Netratings. MySimon searches for millions of products or thousands of websites.

Government sites have search and retrieved agents you can use to get the information you need. FERRET (Federal Electronics Research and Review Extraction Tool) was developed jointly by Census Bureau of Labor is Statistics with FERRET you can find information on employment, health care. Education, race and ethnicity, health insurance, housing, income and poverty, aging and marriage and family.

Intelligent Agents

An Intelligent Agents is software that assists you, or acts on your behalf, in performing respective computer related tasks. Future intelligent will most likely be autonomous, acting independently and will learn and adapt to changing circumstances.

You may not realized it, but your probably already familiar with a primitive type of intelligent agent the shifty eyed paper clip that popup in some versions of word for example, if your looks as if it is going to be a business letter - that is, you type in a date, name, and address – the animated paper clip will offer helpful suggestion on how to proceed.

You can find hundreds if intelligent agents, or bots, for a wide variety of tasks. The Botspot and SmartBot Web site at www.botspot.com and www.smatbots.com are good place to look fro the deferent type of agents available.
Essentially there are four types of intelligent agents:

  1. Buyers agents or shopping bots
  2. User or personal agents
  3. Monitoring-and-surveillance agents
  4. Data-mining agents

GENETIC ALGORITHMS

A genetic Algorithm is an artificial intelligence system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem. In other words, a genetic algorithm is an optimizing system: It finds the combination of inputs that give the best outputs.

So, instead of a pencil, paper, and calculator, you might use a genetic algorithm. You could input the appropriate information on the stocks, including the number of years the company has been in business, the performance of the stock over the last five years, price to earnings ratios, and other information.

You would also have to tell the genetic algorithm your exact “success” criteria. For example, you might use a growth rate in the company over the last year of at least 10 percent, a presence in the market place going back at least three years, a connection to the computer industry, and so forth. The genetic algorithm would simply combine and recombine stocks eliminating any combinations that don’t fit your criteria and continuing to the next iteration with the acceptable combinations- those that give an aggregate growth rate of at least 7.5 % while aiming for as high a growth rate as possible.

Genetic Algorithms use three concepts of evolution:

  1. Selection – or survival of the fittest. The key to selection is to give preference to better outcomes.
  2. Crossover – or combining portions of good outcomes in the hope of creating an even better outcome.
  3. Mutation – or randomly trying combinations and evaluating the success ( or failure ) of the outcome.

Genetic algorithms are best suited to decision-making environments in which thousands, or perhaps millions, of solutions are possible. It can also find and evaluate solutions intelligently and can get through many more possibilities more thoroughly and faster than a human can. As you might imagine, businesses face decision-making environments for all sorts of problems like engineering design, computer graphics, strategies for game playing, anything, in fact, that requires optimization techniques.



Here are some other examples.

  • Genetic algorithm are used by business executives to help them decide which combination of project a firm should invest in, taking complicated tax consideration into account
  • They’re used by investment companies to help the trading choice and decisions.
  • In any garment that you buy, the fabric alone accounts by between 35 percent and 40 percent of the selling price. So when cutting out the fabric to make the garment it’s important that there be a little waste as possible. Genetic algorithms are used to solve the problem of laying out the pieces of garment and cutting fabric in a way that leaves as little waste as possible.
  • US West uses a genetic algorithm to determine the optimal configuration of fiber-optical cable in a network that may include 100,000 connection points by using selection, crossover, and mutation, the genetic algorithm can generate and evaluate millions of cable. At US West, this process used to take an experienced design almost two months. US West algorithm can solve a problem in two days, and save the company $1 million to $10 million each time it’s used.


Genetic Algorithm are good for this types of problems because they are use selection, crossover, and mutation as methods of exploring countless solutions and the respective worth of each.

You have to tell the genetic algorithm what constitutes a “good” solution. That could be low cost, high return, among other factors, since many potential solutions are useless or absurd if you create genetic algorithm to make bread, for example, it might try to boil flour to create moistness. That obviously wont work so genetic algorithm would simple throw that solution and try something else. Other solutions would eventually be good, and some of them would even be wonderful. According to David Goldbert, a genetic algorithm pioneer at the university of Illinois at Urban Campaign, evolution is the oldest and most powerful algorithm there is, “and three million years of evolution can’t be wrong!”

Dolabella auricularia Lightfoot, 1786


COMMON NAME: Eared Sea Hare

LOCAL NAME: Bah-bahan (Waray-waray)

CLASSIFICATION
Kingdom: Animalia
Phylum: Mollusca
Class: Gastropoda
Order: Opisthobranchia
Family: Aplysiidae
Genus: Dolabella
Species: Dolabella auricularia

DISTRIBUTION
Indian Ocean, Western and Northwest Pacific, Philippines

REMARKS:
Inner shell has a typical earlike form; gives off purple ink when disturbed; crawls on seagrass beds at night; unarmed penis; eggs are large tangled mass, surround seaweeds and form an extremely long thin ribbon that could be "unwoven". These eggs are edible.

Magdalena Lyrics - Waray Batasan

Title: Magdalena (Waray Waray Song)
Artist: Waray Batasan

1st VERSE (ASHLEY)

isang pagkataong kahapon na ayaw mong balikan,
isang pag kataon na pilit mong hini hiwalayan,
at pag nag kataon di sana to katayoan mo ngayun,
hawak sa patalim dumedelehensha sa dilim,
bansag ay kalapateng mababa ang lipad,
mga babaeng nasa club mga anyoy walang katulad,
pano umasenso,
kapus maske sa pambili ng sigarilyo,
isa hanggang tatlo kapalit pasakit at dugo,
kailangan mag balatkayo,
kung di rin lang para sayo,
ang tiisin ang sugat na iyong tanatamo, tinatamasa,
sa mata nga mga tao sa lipunan ikay sinusuka,
sawsawan daw ng bayan, kapus ang nalalaman,
sa sawi na palad isinilang,
kaya naman sa sawe na mga babae napa bilang,
kayano sugad hini, kayano naging sugad an ira kinabuhe,,

(CHOURS)
MAGDALENA MAGDALENA

2nd VERSE (JHARRED)

may mga naloko, sa pag ibing sumuko,
verginity natangan sa hapdi luhay tumulo,
at ang ibay biktima ng rape,
at bahid ng dugo sa mukha nakabakas,
may pilit na tumakas sa sawing kahapun,
at ang ibay akalay wala nang pagasa,
at sa sobrang kahirapan di na makita ang hustisya,
wala na tila ba yata buhay dilima,
kaya nalang naisipan ang pagiging magdalena,
kapus hininga at minsan pay kapus pa ang sinusubo nila,
at pag di makayanan mapayapang pahinga,
halos di makaya ang hapdi nga sikmura,
araw araw kailangan mag benta ng laman,
maka ahon lang sa di na matiis na kahirapan,
sano matatapus an pag kukuri,
kay ano sugad hini kayano naging sugad an kinabuhe,,

(CHORUS)
MAGDALENA MAGDALENA

3rd VERSE (iLL PULIDO)

sinayang ng lahat nga iyong pagasa,
nag simula sa gimik ng gimik hindi mo inalala,
ang iyong kapakanang isang babae,
isang babae nga pero asan ang iyong kokote,
iba ibang lalake ang iyong kinaharap,
nakatali ng isa ikaw pay nag hahanap,
subukan mong isiping ikay edad kwarenta?,
sa panahong yan ikaw pa bay bebenta?
o di kayay maging kabit ka ng ibang pamilya,
gusto mo bang maging basura ka matapus lokohin gamitin,
iatatapun ka,
palagay ko di ka dadala sa karma,
sa dami ng niloko mong ikay birhen di nag sawa,
hanggang kailan ipipikit ang mga mata sa katotohanan,
ikay magiging balisa,
kiung di ka kikilus para mag bago,
talaga namay isa ka ngang magdalena,,,,

(CHOROS 2X)

DATA-MINING AGENTS

A data-mining agent operates in a data warehouse discovering information. A
data warehouse brings together information from lots of deferent sources. Data
mining is the process of looking through the data warehouse to find that you can
use to take action, like ways to increase sales or retain customers who are
considering defecting to the competition. Data mining is so called because you
have to sift through a lot of information for the gold nuggets that will affect
the bottom line. This sort of nuggets spotting is similar to what FBI and CIA do
when they bring together little bits of information from diverse source and use
the overall pattern to spot trouble brewing.

As you learned in chapter3, database quires answer question such as, how much
did we spent in transportation in March of this year? Multi dimensional analysis
is the next step in complexity and answers questions such as, how much did we
spend on transportation on the southeast during March of the last five years?
Data mining goes deeper and find answers to questions you may not even have
asked such as, what else do young men buy on Friday after noon when come in to
buy diapers? The answer, Culled by data mining tools, is beer.

One of the most common types of data mining is classification, which finds
patterns in information and categorizes items into those classes. You may
remember that this is just what neural networks do best. So not surprisingly,
neural networks are part many data mining tools. And data mining agents are
another integral parts, since data mining agents search for information in a
data warehouse.

A data-mining agent may detect a major shift in a trend or key indicators. It
can also detect the presence of new information and alert you. Volkswagen uses
an intelligent agent system that acts as an early-warning system about market
conditions. If conditions become such that the assumptions underlying the
company’s strategy are no longer true, the intelligent agent alerts managers.
For example, the intelligent agent might see a problem in some part of the
country that is or will shortly cause payment to slow down. Having that
information early on lets managers formulate a plan to protect themselves.

HAIN NA Lyrics By Nathan | Waray Waray Song

Title: Hain Na
Artist: Nathan

HAIN NA

oh.oh..yeah..

hain na an at mga saad
nga deri kita magbubulag
waray na pag laom pa na mag kita
kay ikaw na mayda na iba..oh...
deri ko gehap mangangalimtan
an aton mga saad nga duha
ikaw gud la an akon gin hihigugma
naot unta ikaw sugad gehap

anu an akon bubuhaton nga warai kana
deri na ako maaram kun mag aanu pa
pastilan balik nagad ha akon
mag babag.o naman ako

hain kana
hain kana

kun ikaw waray na pag higugma
ha akon mag aanu man ako
(mag aanu-anu man lagi ako)
hain ikaw mag malipayon
mag huhulat nala ako ha imo

anu an akon bubuhaton nga waray kana
deri na ako maaram kun mag aanu pa
pastilan balik nagad ha kon
mag babag.o naman ako

hain kana
hain kana
oh.oh...

mag aampo nala ako yana
(mag aampo nala ako yana)
ikaw ug ako in mag kita
ha lain nga panahon,nag lalaom pa gihap ako..
oh.oh..


anu an akon bubuhaton nga waray kana
deri na ako maaram kun mag aanu pa
pastilan balik nagad ha akon
mag babag.o naman ako

hain kana

anu an akon bubuhaton nga waray kana
deri na ako maaram kun mag aanu pa
pastilan balik nagad ha akon
mag babag.o naman ako

hain kana..oh
hain kana..oh.oh..oh
hain kana
hain kana..oh.oh..