Monday, July 31, 2023

THE TOWN BELL (from our archives)

 


 The following are excerpts taken from Hyrum Fechser's biography "Your Family and Mine ~ The Fechsers"
The town bell was ringing furiously, something was wrong, men, women, and children were in the street, everyone asking these very questions, "What's wrong?"  "Maybe a Fire, maybe a child lost".  "Maybe Indians".
The town bell was really the church bell and the town was now about four years old.  .......
John Fechser, the miller (Hyrum's father) was in the crowd. He had come here from Germany, where he had learned the milling business.
...........
During the past ten years there had been a lot of Indian trouble, they were reported to be in Pigeon Hollow near Ephraim.  Uncle John and some other men were sent to head the Indians off, he was the only one to return, the rest were kiled by the Indians, some emigrants were coming to Fairview, and were way laid by these Indians; all were killed.  Today at Fairview (Pioneer Cemetery) you can see an old plank head stone with this inscription, THE GIVENS FAMILY, KILLED BY THE INDIANS 1869.

GIVEN FAMILY MASSACRE 

In the spring of 1865 John Given and his wife Eliza and their four children, John Jr., Mary, Anna, and Martha settled in the meadowland about 110 feet west of here. They built a cabin and willow shanty. Charles Brown and Charles W. Leah were helping them plow and plant crops. Early in the morning of May 27th, they were attacked by a band of Indians. Brown and Leah escaped and ran six miles for help which came too late. The entire Given family was massacred and their cattle and household furnishings were taken. The murdered people were buried in Fairview.


Editor note: The Hamilton School Bell served the same purpose as the church bell in later years. I well remember it ringing at 8:00 a.m. in the morning, telling you that you only had one hour to get to school. It would also ring at noon and at 9:00 p.m. for curfew as well as ring when there was a fire. That bell now sits in front of our Blacksmith Shop and Relic Home as a DUP marker.


 

Sunday, July 30, 2023

One More Year Added To My Age

 

My Birthday Party 1952
I'm not sure my memory of all is very good, but here we'll try:
Back Row l to r: Unknown, Tammy Frandsen (hiding behind), Darlene Frandsen, Dennis Cloward, Doyce Coates, unknown, Kathleen Burnside, Me,  Virginia Allred, Gary Larsen
Second Row  l to r: Dorothy Frandsen, unknown, unknown, Tommy Larsen, Donny Larsen
Front and Center:  unknown
Possible unknowns:  Ted Burnside, Scott Frandsen, Gary Brown, Wally Frandsen



Some Rigby Baby in 1947
~~~~~~~~~~~~~~~~~~~~~~~~~

The following photos are where I grew up.
My parents were able to purchase this home from Charley Rambo early in their married life.
My father was able to fix it.  He studied
carpentry at Utah State Agricultural College.

Friday, July 28, 2023

Willis Neil Madsen History and Obituary (from our archives)

 


A friend of ours, Dave Gunderson, asked us to find a picture of Willis Madsen. I  found this in a 1921 Carbon yearbook. He was the a sophomore in high school. 
 
 


Willis and Alice Madsen

The above photo comes from the Johanna Madsen Hafen Collection.
~~~~~~~~~~~~~~~~






And since we are researching his life anyway, here's more:






Willis Neil Madsen
Original name: Willis N. Madsen
Learn about upgrading this memorial...
Birth: Jun. 8, 1903
Scofield
Carbon County
Utah, USA
Death: Nov. 29, 1934
Mount Pleasant
Sanpete County
Utah, USA

Willis Neil Madsen, 31, city councilman, farmer and woolgrower, died Thursday night a the family home following a ten days' illness from pleuro-pneumonia.
Mr. Madsen was born in Scofield June 8, 1903, a son of Neil M. and Anna Wilcox Madsen. He received his early education in the Scofield schools and was graduated from Carbon county high school in 1923. During his senior year he was student body president. After his graduation from high school he attended the Utah State Agricultural college. He became active in civic and public affairs and served as deputy fish and game warden under David Madson and Arthur Mecham. He also served four years as deputy county assessor for Carbon county prior to 1929. He was active in the Democratic party in both Carbon and Sanpete counties and in 1931 was elected two-year city councilman, and was reelected for a four-year term in 1933. Since the death of his father in 1927 he had been secretary-treasurer of the Madsen Land and Livestock company. He was a member of the Mt. Pleasant Pioneer Historical Association and a grandson of the founder and first president of the association.
He was married to Miss Louise Frandsen in Mt. Pleasant July 10, 1929, and they had resided here since their marriage.
Surviving are his widow, a daughter, Mary Louise; his mother, and two sisters, Mrs. Alice M. Pannier, Salt Lake City and Mrs. Johannah M. Hafen, Mt. Pleasant.

Salt Lake Tribune December 1, 1934





Family links:
 Parents:
  Neil Moroni Madsen (1873 - 1927)
  Anna Wilcox Madsen (1873 - 1965)

 Spouse:
  Louise Frandsen Seely (1907 - 2002)*

*Calculated relationship
 
Burial:
Mount Pleasant City Cemetery 
Mount Pleasant
Sanpete County
Utah, USA
Plot: A_154_1_2

Maintained by: Love My Ancestors
Originally Created by: Utah State Historical So...
Record added: Feb 02, 2000 
Find A Grave Memorial# 141112
Willis Neil Madsen
Added by: Linda Madsen O'Driscoll
 
Willis Neil Madsen
Added by: Linda Madsen O'Driscoll
 
Willis Neil Madsen
Cemetery Photo
Added by: John Warnke
 
 
Photos may be scaled.
Click on image for full size.


- Blaine & Elaine Berger 
 Added: Mar. 1, 2011
 

Wednesday, July 26, 2023












 























While living in Nauvoo, Moses Martin Sanders and his wife Amanda Armstrong Faucett Sanders lived as neighbors to the Prophet Joseph Smith.  They cherished their association with the Smith Family.

Moses owned a very beautiful, but unruly horse. As Moses was often away from home, performing church duties, it fell upon Amanda to lead the horse to water.  She was really afraid of him.  He was very high-spirited.

One day the Prophet Joseph said to his neighbor, Moses "Brother Sanders, give the horse to me and I'll promise that you will never lose by it".

Moses Martin replied, "I would but I am afraid that he may hurt you."  Then the Prophet said, "No, he would never hurt me." So Moses tossed him the rope and said, "He is yours." 

The horse was called "JOE DUNCAN",  a very beautiful intelligent animal.

Monday, July 24, 2023

Utah's Pioneer Day ~~~ First Celebrated In 1849

  TWENTY-FOURTH OF JULY

Talula Nelson Mt. Pleasant, Utah  



The Twenty Fourth of July was always a gala day in the early history of Mt. Pleasant. 

At sunrise, the flag was raised on the historic liberty pole. 

It was worth rising early to see the men thread the rope through the pulleys and

 see the flag ascend smoothly and surely to the top of the high pole. 

We would recall how a lumberman, Niels Rolfson, had brought this long straight tree down from the mountains. 

 What a piece of engineering to guide it safely down the steep slopes and deep canyons! 

At times it would have to be raised by hand almost perpendicularly to make the quick u-turns and miss the trees that lined the road. 

The team of horses had to be held at tight reins to ensure slow movement. 

When it finally arrived at the corner of State and Main it was raised by block and tackle 

and secured in its upright position by pegs and props. 

An iron band was placed around it to fasten the pegs. Pulleys were then fastened to the top and bottom to raise the flag. 

At ten o’clock in the morning, the grand parade would begin. 

The streets had been lined for hours with people waiting for the wonderful display of floats, beautiful girls, and horses. 

Someone would shout, “Here they come,” and we would all rush to the edge of the sidewalk, 

and sure enough, Uncle Sam, tall and stately in his red, white, and blue could be seen prancing down the street. 

For years Elija McClleham led the parade in his gorgeous costume. 

His six feet, seven inches was topped with a high stove-pipe hat, which added to his height. 

His long legs were made to look longer in the red and white striped pants. 

The blue coat with large brass buttons was crowned with a 

silk star-studded hat of blue, with white stars and a red and white striped brim. 

He carried a cane, which added to his high-stepping, as he kept time with the drum or band which followed. 

The beautiful Goddess of Liberty, her special white float drawn by six white horses,

 well-groomed and decorated with white pompoms, came into view. 

The float, a hayrack done in white bunting, carried a beautiful young 

lady dressed in white with a crown of gold, 

and her two lovely attendants. The majestic title, Miss Liberty, 

completed the breathtaking pageant. 

Miss Utah followed. Her float 

was decorated in red, white, and blue bunting. 

The word “Utah” on her crown, and the presence of her two attendants 

seated by her completed the gorgeous float drawn by four bay horses decorated in red pompoms. 

The 13 original states were represented by 13 lovely ladies all dressed in white

 and carrying a torch to signify our beginning as a nation. 

Their float was appropriately decorated and drawn by a team of gray horses, which were decorated with torches to match. 

Miss Mt. Pleasant brought many

 “oos” and “awes” as her lovely float, drawn by four horses, made its way into view. She was attended by several lovely girls with banners across their shoulders. 

All were proud to represent their beautiful city. Miss Sanpete 

brought a good laugh as she came riding on a donkey decorated in carrots. 

Carrots were all over, hanging on the bridle and saddle. Her crown was carrots, and a great corsage of carrots completed her dress. 

Following Miss Sanpete came the other 28 counties, represented by 28 young ladies, all riding horses, their county banners across their shoulders.

Utah’s best crop, a hayrack loaded with primary children, was exciting for the children and parents alike. 

Scenes from the bible were displayed by other church organizations. 

The Gleaners were well portrayed by three women bent over among sheaves of corn and wheat. Jacob’s well and Moses in the bulrushes was cause for much hand-clapping as the wagons bearing these precious messages moved on. 

Indians added a great deal of color as their wagons came along. Their bright shawls and black braids could be seen among the willows near a three-pole wiki-up. 

The Gold Dust Twins clowned along beside the parade. Old Dutch Cleanser came in her red and yellow dress, stepping the full width of her wide skirt and carrying her stick to fight dirt. Following, came a long line of covered wagons drawn by oxen. Their wagons were loaded with children poking their heads out from under the cover; 

Mother and Dad were seated in the spring seat, a small child between them. Outside were boxes of chickens fastened to their wagon. 

Others led a cow, and small pigs could be seen in their boxes. Calves and colts ran to and fro beside their mothers. Azel Peel always had a team of cows trained to pull his wagon. 

Charley Peterson (“Shoemaker,” as he was called, to distinguish him from others by the same name) hitched a cow and horse together, 

much to the delight of the viewers. Indians would attack in mock battle. 

They would come out of nowhere, shouting, yelling, and riding wild into the covered wagons. 

Nephi Gunderson, dressed as an Indian with war paint and feathers, rushed up to a wagon where his fiancée, Marie Hansen, was riding; grabbed her, at least tried to get her. 

He found a nineteen-year-old girl quite a handful. She cooperated and rode off with the Indians among much laughing and screaming by the crowd. 

After the parade, a meeting was held in the chapel. This was a very special meeting, where so many stories of pioneer experiences were told. “Come, Come Ye Saints” and “The Spirit of God Like a Fire is Burning” were sung by the audience.

 “Utah, We Love Thee” was always a special solo. The band played the “Star-Spangled Banner”, and we all stood while they played. 

Then the closing prayer was offered. The park where the old fort stood was alive after the program. Here many brought picnic lunches, and a pleasant hour was spent visiting.

 Finally, the Bishop came with a bag of coins, and the time had come for the races. What fun! Foot races, sack races, tugs of war, and climbing the greased pole! 

A young pig was greased and turned loose for anyone who cared to chase him. The one who caught and held on to him earned the pig. 

The park became a ball ground for the men while the women and children retired to the social hall for a children’s dance. 

Later in the evening, after the chores were done and the children put to bed, the married folks went to the social hall, where they danced and ate till the wee hours of the morning. 

Occasionally, the twenty-fourth was celebrated in the mountains. 

This was a day long to be remembered. After the flag-raising and gun powder was set off in Wilson’s Blacksmith Shop, 

the wagons started to roll toward the mountains to Derfee’s Meadows. There, on this beautiful smooth meadow, the wagons formed a circle similar to the pioneers’ as they crossed the plains.

 After the horses were taken into the trees, fed, and taken care of, fires were started in the hole prepared for Dutch ovens.

 The mothers were well prepared with spring chickens, young carrots, green peas, and new potatoes, which were soon stewing under the watchful care of the menfolk. Sourdough biscuits were baked, and the picnic was ready. Gooseberry and rhubarb pies were in abundance. Many preferred another scone dripping with fresh butter and honey.

 Good food with fresh mountain air made enormous appetites. 

Balls and nipkats made their appearance in the circle made by the wagons. Horseshoe games challenged the men. 

A fiddle player and some danced on the rough terrain. When the ladies got tired of much we weighed each year was the highlight of the trip. We didn’t worry about our weight because Grandma’s hot graham bread was too good to resist. 

  They took hikes through the beautiful forest. They gathered wildflowers and berries. 

Reference was made that on just such a celebration Brigham Young was informed of Johnson’s Army approaching. 

All too soon the sun was sinking, the daylight turning to twilight. Wagons started the long drive back to town. 

No headlights were needed as the faithful teams followed the rock road home. After chores, the dance hall was filled, and the tired people danced till morning.

 Yes, the Twenty-Fourth of July was a special day in the early history of Mt. Pleasant.

 Much time and effort were put into making it a day fit to honor the pioneers, who made this land choice above all others. 

 

 



taken from wikipedia

Tabernacle organ photo by 






Charles Roscoe Savage  (1832–1909)

Photo of Eagle Gate 
 
Charles Roscoe Savage  (1832–1909)





Pioneer Day 

The first Pioneer Day was celebrated in 1849, with Mormons in Salt Lake City marching in wards, or congregational groups, around Temple Square in a show of patriotism. Many other towns in Utah had their own celebrations. Steven Olson notes that Pioneer Day celebrations reenact an idealized culture, providing a window into Mormon culture. Celebrations in the latter half of the 19th century emphasized how Mormons were a free, blessed, and chosen people. Floats and decorations celebrated agricultural bounties that Mormons saw as God blessing their settlement. Mormon leaders were escorted from their homes to the celebrations, where they participated as speakers. Parades separated participants by age and gender and celebrated traditional gender roles. Dances and sports competitions were common..

 

In Utah where Pioneer Day is an official holiday, the day is celebrated with fireworks and historical reenactments. However, outside of Utah, observance depends on local members; often a congregation will have pioneer-themed talks but no festivities.[23] Dutch Mormons tend not to celebrate it, but in Germany, Pioneer Day is popular among Mormons.[2]

Other customs]

In the mid-20th century, several performance art traditions helped revive folk arts. Church-wide folk-dancing festivals taught folk dancing to Mormon youth in the 1970s. Roadshows allowed members to exercise their creative talents on a smaller scale.[24]

In some missions, it is common to burn clothing to mark special missionary anniversaries, such as a tie after six months of service and a shirt after one year.[2]




Saturday, July 22, 2023

Corey Leon Monk

 


Corey Leon Monk


10/26/1978 ~ 5/2/2023


Corey Leon Monk 44 of Mount Pleasant, UT, beloved son, brother, uncle, cousin, nephew and friend passed away May 2, 2023 at home after a courageous battle with cancer.
Corey was born October 26, 1978 in Nephi, UT the oldest son of Leon and Bobbe Wilcox Monk. He has always lived in Mount Pleasant and went to school here.
Corey has always been a hard worker learning from his Grandpas and father. Most recently he worked 14 years for Mount Pleasant City.


He enjoyed fishing, poker, keno, snowboarding, brain teasers, puzzles, woodworking, coin collecting, teaching nephews and teasing nieces as well as hanging out with his cousins.
Corey is preceded in death by his Grandparents, Ed and Donna Monk, Fred Wilcox and Althea Wilcox; Aunts, Marilyn Monk; Shauna Brotherson, Sherri Jarrett and Uncle Larry “Wilbur” Wilcox.

He is survived by his Parents, Leon and Bobbe Monk, Mt Pleasant , UT;

Siblings, Mandy (Eddie) Shelley, Mt Pleasant , UT;

Sterling (Hallie) Monk, Mt Pleasant , UT;

Launa Monk, Varina, Iowa;

Weston Monk, Mesquite, NV/Mt Pleasant, UT;

nephews Caleb and Xander; nieces, Skyla, Aysha, Willa and one on the way and many cousins.


The family would like to thank his nurses, doctors and health care professionals and an extra special thank you to Colette, Daphne and Raquelle at Utah Cancer Specialties.


Funeral services were held Monday, May 8, 2023 at 12:00 noon in the Mt. Pleasant 3rd Ward (yellow church). Viewings held Sunday, May 7, 2023 from 6:00 – 8:00 p.m. at Rasmussen Mortuary (96 N 100 W, Mt. Pleasant) and Monday 10:30 a.m. – 11:30 a.m. prior to services at the church. Interment in the Mt. Pleasant City Cemetery.

To Watch Recorded Funeral Service Click Here.

To Watch Recorded Graveside Service Click Here.
6 Responses to “Corey Leon Monk”

Thursday, July 20, 2023

MORONI FEED COMPANY

 Saga of the Sanpitch

Ida O. Donaldson

Professional Honorable Mention Historical Essay

Moroni Feed Company, Sanpete's largest employer, in 1998

celebrates the 60th anniversary of its incorporation. Gross sales of

the company are in excess of $125 million. In addition to the

independent growers and their employees, Moroni Feed has 850

employees, with an annual payroll of over $13 million.

Moroni Feed is a fully-integrated co-operative, including a

feed mill, hatchery, processing plant, breeder farms, propane gas, a

service station and convenience store, a further-processing plant, a

Nutrimulch plant, and a hardware store. The feed mill mixes and

delivers over 150,000 tons of feed per year. The hatchery hatches

over 5 million turkey eggs annually. The processing plant

processes 75 million pounds of Norbest turkey products annually.

The breeder division includes six breeder farms located in Sanpete,

Juab, Sevier, and Washington Counties, as well as in Orosi,

California.

A service station was added in 1940. An all-new service

station and convenience store were opened last October. Included is

the propane business which provides propane to the growers. 

The Nutrimulch division produces and sells over 45,000 yards per year

of nutrient-rich soil conditioner made from recycled turkey litter.


Jolley, Joseph Prestwich, Ray Seely, Jake Anderson, George Faux,

Leo Morley, Dan L. Olsen, John M. Olsen, Wilford B. Olson, and

William Prestwich. These men formed the association and worked

out an agreement with Bent Monson, a Moroni flour miller, for the

grinding and mixing of their turkey mash on a cooperative basis.


The first mill was located in the Pioneer Opera House, which still

stands on Moroni's Main Street. Later, the abandoned People's

Sugar Company plant, located two miles south of town was

purchased and the feed division was moved there in 1940.

Moroni Feed Company was officially incorporated under

the cooperative statutes of Utah on January 20, 1938.


The first officers and directors were Leo Morley, president;

Ray Seely, vice president; and Marion Jolley, secretary-treasurer.

W.L. Morley was the buyer, a position he held for twenty years.

Sherman Christensen was hired as a bookkeeper. Marlin Cloward

was hired to take his equipment to the hay fields in Leamington and

Lyndell to chop hay. Albert Cloward worked with Marlin. As

more men were interested in becoming members, they were charged

a $1 membership fee.


Royce Johnson, daughter of W.L. Morley remembers as a

young child, that her father raised twenty to twenty-five turkeys.

About the middle of November, the turkeys were killed, dry-picked

and hung in an empty house next door. The heads and feet were

washed and left on the bird. 

The weather was cold this time of year, so they were preserved

 till they could be sold. 

Independent buyers would go around to the growers and buy their birds.

After incorporation, W.L. Morley was able to raise 500

turkeys. "This became a family affair," Royce said. "All feeding

and watering were done by hand. When the night began to fall, the

entire family would go in to the coop and get the turkeys to bed

Sitting on their roosts, we put turkeys beside us so as to encourage

other turkeys to jump up and take a place. When it was dark and all

the roosts were full, we would tip-toe out of the coop!"

Don Prestwich, son of Joseph Prestwich, also remembers

the early days. "We put a rack on a wagon and, with a shovel,

tossed grain from one side to the other as a way of mixing it. Each

poult was taken by hand and its beak was dipped into water or milk

to help it learn to drink. Now, the poults are just dumped out in the

coop. We used to feed the turkeys twice a day. Now, everything is

automated and feeders are filled once or twice a week according to

the age of the turkeys. At noon we used to pour water on the

mash and feed the turkeys wet mash thinking it would help them eat

more. We used to slip in barrels of buttermilk and feed the turkeys,

as well as ship in blocks of whey from the dairy processing

places. We used to run our turkeys alongside the river and they

waded and drank in the river. I remember dipping water out of the

river in fifty-gallon drums and hauling it to the turkeys in an old

Model T which held three or four barrels."  


 


Tuesday, July 18, 2023

Beloved Sego Lily

 

Our Own State Flower for Utah


Information taken from  Wikipedia® 

THE SEGO LILY




Native Americans had culinary uses for the bulbs, seeds, and flowers of the plant. Bulbs were roasted, boiled, or made into a porridge by the HopiHavasupaiNavajoPaiuteGosiute, and Ute peoples. The Hopi used the yellow flower ceremonially.

They taught the Mormon pioneer immigrants to use the bulb for badly needed food. This resulted in the sego lily being formally designated as the Utah State Flower in 1911. 

The following is taken from: 

Pioneer: Utah's Online Library


Utah State Flower - Sego Lily


Sego Lily along the Bonneville Shoreline Trail, 6/16/2010, Photo by Staci Card Green
By an act of the Utah State Legislature, approved on March 18, 1911, the sego lily was declared to be the State floral emblem (Utah Code). Kate C. Snow, President of the Daughters of Utah Pioneers, in a letter dated April 17, 1930, says that "between 1840 and 1851" food became very scarce in Utah due to a crop-devouring plague of crickets, and that "the families were put on rations, and during this time they learned to dig for and to eat the soft, bulbous root of the sego lily. The memory of this use, quite as much as the natural beauty of the flower, caused it to be selected in after years by the Legislature as the floral emblem of the State." 

The sego lily was made the official state flower after a census was taken of the state's school children as to their preference for a state flower. 

The sego lily, Calochortus nuttalli, has white, lilac, or yellow flowers and grows six to eight inches high on open grass and sage rangelands in the Great Basin during the late spring and early summer months. The USDA symbol is CANU3.

Monday, July 17, 2023

Annual Convention of the National Wool Growers Association ~~~ 1918

 

Interesting stuff from 1918 National Woolgrowers held at Salt Lake City in 1918.
Attended by Candlands, Seelys and Aagards.  Wartime resolutions were made for wool clothing, restrictions on fat lamb consumption, dog control, predatory animals animals, the contracting buyers in advance of sale, and an experimental  sheep farm in Idaho. 




Friday, July 14, 2023

Making News This Month: ARTIFICIAL INTELLIGENCE (taken from wikipedia)

 "AI" redirects here. For other uses, see AI (disambiguation), Artificial intelligence (disambiguation), and Intelligent agent.

Artificial intelligence (AI) is intelligence demonstrated by computers, as opposed to human or animal intelligence. "Intelligence" encompasses the ability to learn and to reason, to generalize, and to infer meaning.[1][2] AI applications include advanced web search engines (e.g., Google Search), recommendation systems (used by YouTubeAmazon, and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Waymo), generative or creative tools (ChatGPT and AI art), automated decision-making, and competing at the highest level in strategic game systems (such as chess and Go).[3]

Artificial intelligence was founded as an academic discipline in 1956, and in the years since it has experienced several waves of optimism,[4][5] followed by disappointment and the loss of funding (known as an "AI winter"),[6][7] followed by new approaches, success, and renewed funding.[5][8] AI research has tried and discarded many different approaches, including simulating the brain, modeling human problem solvingformal logiclarge databases of knowledge, and imitating animal behavior. In the first decades of the 21st century, highly mathematical and statistical machine learning has dominated the field, and this technique has proved highly successful, helping to solve many challenging problems throughout industry and academia.[8][9]

The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoningknowledge representationplanninglearningnatural language processingperception, and the ability to move and manipulate objects.[a] General intelligence (the ability to solve an arbitrary problem) is among the field's long-term goals.[10][2] To solve these problems, AI researchers have adapted and integrated a wide range of problem-solving techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statisticsprobability, and economics. AI also draws upon computer sciencepsychologylinguisticsphilosophy, and many other fields.

The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".[b] This raised philosophical arguments about the mind and the ethical consequences of creating artificial beings endowed with human-like intelligence; these issues have previously been explored by mythfiction (science fiction), and philosophy since antiquity.[12] Computer scientists and philosophers have since suggested that AI may become an existential risk to humanity if its rational capacities are not steered towards goals beneficial to humankind.[c] Economists have frequently highlighted the risks of redundancies from AI, and speculated about unemployment if there is no adequate social policy for full employment.[13] The term artificial intelligence has also been criticized for overhyping AI's true technological capabilities.[14][15][16]

History

Silver didrachma from Crete depicting Talos, a mythical intelligent automaton (c. 300 BC)

Artificial beings with intelligence appeared as storytelling devices in antiquity,[17] and have been common in fiction, as in Mary Shelley's Frankenstein or Karel ÄŒapek's R.U.R.[18] These characters and their fates raised many of the same issues now discussed in the ethics of artificial intelligence.[19]

The study of mechanical or "formal" reasoning began with philosophers and mathematicians in antiquity. The study of mathematical logic led directly to Alan Turing's theory of computation, which suggested that a machine, by shuffling symbols as simple as "0" and "1", could simulate any conceivable act of mathematical deduction. This insight that digital computers can simulate any process of formal reasoning is known as the Church–Turing thesis.[20] This, along with concurrent discoveries in neurobiologyinformation theory and cybernetics, led researchers to consider the possibility of building an electronic brain.[21] The first work that is now generally recognized as AI was McCullouch and Pitts' 1943 formal design for Turing-complete "artificial neurons".[22]

The field of AI research was born at a workshop at Dartmouth College in 1956.[d][25] The attendees became the founders and leaders of AI research.[e] They and their students produced programs that the press described as "astonishing":[f] computers were learning checkers strategies, solving word problems in algebra, proving logical theorems and speaking English.[g][27] By the middle of the 1960s, research in the U.S. was heavily funded by the Department of Defense[28] and laboratories had been established around the world.[29]

Researchers in the 1960s and the 1970s were convinced that their methods would eventually succeed in creating a machine with artificial general intelligence and considered this the goal of their field.[30] Herbert Simon predicted, "machines will be capable, within twenty years, of doing any work a man can do".[31] Marvin Minsky agreed, writing, "within a generation ... the problem of creating 'artificial intelligence' will substantially be solved".[32]

They had failed to recognize the difficulty of some of the remaining tasks. Progress slowed and in 1974, in response to the criticism of Sir James Lighthill[33] and ongoing pressure from the US Congress to fund more productive projects, both the U.S. and British governments cut off exploratory research in AI. The next few years would later be called an "AI winter", a period when obtaining funding for AI projects was difficult.[6]

In the early 1980s, AI research was revived by the commercial success of expert systems,[34] a form of AI program that simulated the knowledge and analytical skills of human experts. By 1985, the market for AI had reached over a billion dollars. At the same time, Japan's fifth generation computer project inspired the U.S. and British governments to restore funding for academic research.[5] However, beginning with the collapse of the Lisp Machine market in 1987, AI once again fell into disrepute, and a second, longer-lasting winter began.[7]

Many researchers began to doubt that the current practices would be able to imitate all the processes of human cognition, especially perception, robotics, learning and pattern recognition. A number of researchers began to look into "sub-symbolic" approaches to specific AI problems.[35] Robotics researchers, such as Rodney Brooks, rejected symbolic AI and focused on the basic engineering problems that would allow robots to move, survive, and learn their environment.[h]

Interest in neural networks and "connectionism" was revived by Geoffrey HintonDavid Rumelhart and others in the middle of the 1980s.[40] Soft computing tools were developed in the 1980s, such as neural networksfuzzy systemsGrey system theoryevolutionary computation and many tools drawn from statistics or mathematical optimization.

AI gradually restored its reputation in the late 1990s and early 21st century by exploiting formal mathematical methods and by finding specific solutions to specific problems. This "narrow" and "formal" focus allowed researchers to produce verifiable results and collaborate with other fields (such as statisticseconomics and mathematics).[41] By 2000, solutions developed by AI researchers were being widely used, although in the 1990s they were rarely described as "artificial intelligence".[9]

Faster computers[42] and access to large amounts of data[43] enabled advances in machine learning and perception; data-hungry deep learning methods started to dominate accuracy benchmarks around 2012.[44]

According to Bloomberg's Jack Clark, 2015 was a landmark year for artificial intelligence, with the number of software projects that use AI within Google increased from a "sporadic usage" in 2012 to more than 2,700 projects.[i] He attributed this to an increase in affordable neural networks, due to a rise in cloud computing infrastructure and to an increase in research tools and datasets.[8] In a 2017 survey, one in five companies reported they had "incorporated AI in some offerings or processes".[45] The amount of research into AI (measured by total publications) increased by 50% in the years 2015–2019.[46] According to AI Impacts at Stanford, around 2022 about $50 billion annually is invested in artificial intelligence in the US, and about 20% of new US Computer Science PhD graduates have specialized in artificial intelligence;[47] about 800,000 AI-related US job openings existed in 2022.[48]

Numerous academic researchers became concerned that AI was no longer pursuing the original goal of creating versatile, fully intelligent machines. Much of current research involves statistical AI, which is overwhelmingly used to solve specific problems, even highly successful techniques such as deep learning. This concern has led to the subfield of artificial general intelligence (or "AGI"),[2] which had several well-funded institutions by the 2010s.[10]

Goals

The general problem of simulating (or creating) intelligence has been broken down into sub-problems. These consist of particular traits or capabilities that researchers expect an intelligent system to display. The traits described below have received the most attention.[a]

Reasoning, problem-solving

Early researchers developed algorithms that imitated step-by-step reasoning that humans use when they solve puzzles or make logical deductions.[49] By the late 1980s and 1990s, AI research had developed methods for dealing with uncertain or incomplete information, employing concepts from probability and economics.[50]

Many of these algorithms proved to be insufficient for solving large reasoning problems because they experienced a "combinatorial explosion": they became exponentially slower as the problems grew larger.[51] Even humans rarely use the step-by-step deduction that early AI research could model. They solve most of their problems using fast, intuitive judgments.[52]

Knowledge representation

An ontology represents knowledge as a set of concepts within a domain and the relationships between those concepts.

Knowledge representation and knowledge engineering[53] allow AI programs to answer questions intelligently and make deductions about real-world facts.

A representation of "what exists" is an ontology: the set of objects, relations, concepts, and properties formally described so that software agents can interpret them.[54] The most general ontologies are called upper ontologies, which attempt to provide a foundation for all other knowledge and act as mediators between domain ontologies that cover specific knowledge about a particular knowledge domain (field of interest or area of concern). A truly intelligent program would also need access to commonsense knowledge, the set of facts that an average person knows. The semantics of an ontology is typically represented in description logic, such as the Web Ontology Language.[55]

AI research has developed tools to represent specific domains, such as objects, properties, categories and relations between objects;[55] situations, events, states and time;[56] causes and effects;[57] knowledge about knowledge (what we know about what other people know); and [58] default reasoning (things that humans assume are true until they are told differently and will remain true even when other facts are changing);[59]. Among the most difficult problems in AI are: the breadth of commonsense knowledge (the number of atomic facts that the average person knows is enormous);[60] and the sub-symbolic form of most commonsense knowledge (much of what people know is not represented as "facts" or "statements" that they could express verbally).[52]

Formal knowledge representations are used in content-based indexing and retrieval,[61] scene interpretation,[62] clinical decision support,[63] knowledge discovery (mining "interesting" and actionable inferences from large databases),[64] and other areas.[65]

Learning

Machine learning (ML), a fundamental concept of AI research since the field's inception,[j] is the study of computer algorithms that improve automatically through experience.[k]

Unsupervised learning finds patterns in a stream of input.

Supervised learning requires a human to label the input data first, and comes in two main varieties: classification and numerical regression. Classification is used to determine what category something belongs in – the program sees a number of examples of things from several categories and will learn to classify new inputs. Regression is the attempt to produce a function that describes the relationship between inputs and outputs and predicts how the outputs should change as the inputs change. Both classifiers and regression learners can be viewed as "function approximators" trying to learn an unknown (possibly implicit) function; for example, a spam classifier can be viewed as learning a function that maps from the text of an email to one of two categories, "spam" or "not spam".[69]

In reinforcement learning the agent is rewarded for good responses and punished for bad ones. The agent classifies its responses to form a strategy for operating in its problem space.[70]

Transfer learning is when the knowledge gained from one problem is applied to a new problem.[71]

Computational learning theory can assess learners by computational complexity, by sample complexity (how much data is required), or by other notions of optimization.[72]

Natural language processing

parse tree represents the syntactic structure of a sentence according to some formal grammar.

Natural language processing (NLP)[73] allows machines to read and understand human language. A sufficiently powerful natural language processing system would enable natural-language user interfaces and the acquisition of knowledge directly from human-written sources, such as newswire texts. Some straightforward applications of NLP include information retrievalquestion answering and machine translation.[74]

Symbolic AI used formal syntax to translate the deep structure of sentences into logic. This failed to produce useful applications, due to the intractability of logic[51] and the breadth of commonsense knowledge.[60] Modern statistical techniques include co-occurrence frequencies (how often one word appears near another), "Keyword spotting" (searching for a particular word to retrieve information), transformer-based deep learning (which finds patterns in text), and others.[75] They have achieved acceptable accuracy at the page or paragraph level, and, by 2019, could generate coherent text.[76]

Perception

Feature detection (pictured: edge detection) helps AI compose informative abstract structures out of raw data.

Machine perception[77] is the ability to use input from sensors (such as cameras, microphones, wireless signals, and active lidar, sonar, radar, and tactile sensors) to deduce aspects of the world. Applications include speech recognition,[78] facial recognition, and object recognition.[79] Computer vision is the ability to analyze visual input.[80]

Social intelligence

Kismet, a robot with rudimentary social skills[81]

Affective computing is an interdisciplinary umbrella that comprises systems that recognize, interpret, process or simulate human feeling, emotion and mood.[82] For example, some virtual assistants are programmed to speak conversationally or even to banter humorously; it makes them appear more sensitive to the emotional dynamics of human interaction, or to otherwise facilitate human–computer interaction. However, this tends to give naïve users an unrealistic conception of how intelligent existing computer agents actually are.[83] Moderate successes related to affective computing include textual sentiment analysis and, more recently, multimodal sentiment analysis, wherein AI classifies the affects displayed by a videotaped subject.[84]

General intelligence

A machine with general intelligence can solve a wide variety of problems with breadth and versatility similar to human intelligence. There are several competing ideas about how to develop artificial general intelligence. Hans Moravec and Marvin Minsky argue that work in different individual domains can be incorporated into an advanced multi-agent system or cognitive architecture with general intelligence.[85] Pedro Domingos hopes that there is a conceptually straightforward, but mathematically difficult, "master algorithm" that could lead to AGI.[86] Others believe that anthropomorphic features like an artificial brain[87] or simulated child development[l] will someday reach a critical point where general intelligence emerges.