Artificial intelligence in China is facing unprecedented development opportunities and has many advantages in terms of development. Let us make a few considerations in this regard. Significant progress has been made in the IT environment and the technological level of human society between big data, cloud computing and the Internet, which are closely related to AI and have developed quickly. AI has started to have a significant impact on the structure of human society and the dual human-machine environment is gradually developing into the third human-machine-intelligent machine environment. The cooperation and coexistence of humans, machines and intelligent machines will become the new normal of the social structure. Such harmonious coexistence is hopefully not only a need for social development, but also provides a distinct place for AI.

Do millennials face economic uncertainty in the future? As employment increasing become more automated, McKinsey & Company (Global management consultants) predicts that, "60% of all work activities could be automated by 2055". As far back as the 16th century, mechanisation was introduced in the form of looms, that were used to weave the material used for stockings and rugs. However, Queen Elizabeth I, was very reluctant to encourage this industry as she felt that "stocking knitters" would become redundant in this field. By the 19th century, textile workers were facing life changing inventions, as the Industrial Revolution became the catalyst to transform economies based on steam-powered machines.

THE ORIGINAL MACHINERY question, which had seemed so vital and urgent, eventually resolved itself. Despite the fears expressed by David Ricardo, among others, that "substitution of machinery for human labour…may render the population redundant", the overall effect of mechanisation turned out to be job creation on an unprecedented scale. Machines allowed individual workers to produce more, reducing the price of many goods, increasing demand and generating a need for more workers. Entirely new jobs were created to oversee the machines. As companies got bigger, they required managers, accountants and other support staff.

Octopus-like robots are plucking strawberries in Spain, in the US machines are vacuuming apples off the trees, and in the UK they are feeding and milking cows. Robots are taking over fields around the world, and last week food and rural affairs secretary Andrea Leadsom suggested they could help replace the thousands of EU workers who currently help put food on British tables. And it is not just Brexit that is forcing the agricultural industry to embrace the next phase of mechanisation. Farmers are already having to rethink their operations in the face of higher minimum pay – mainly a result of the national living wage for over-25s, which came into effect last year. Robotic milking machines, in which cows queue up to milk themselves, are now mainstream, while systems tat automatically feed or track the health of livestock are on the rise.

THE ORIGINAL MACHINERY question, which had seemed so vital and urgent, eventually resolved itself. Despite the fears expressed by David Ricardo, among others, that "substitution of machinery for human labour…may render the population redundant", the overall effect of mechanisation turned out to be job creation on an unprecedented scale. Machines allowed individual workers to produce more, reducing the price of many goods, increasing demand and generating a need for more workers. Entirely new jobs were created to oversee the machines. As companies got bigger, they required managers, accountants and other support staff.

THE ORIGINAL MACHINERY question, which had seemed so vital and urgent, eventually resolved itself. Despite the fears expressed by David Ricardo, among others, that "substitution of machinery for human labour…may render the population redundant", the overall effect of mechanisation turned out to be job creation on an unprecedented scale. Machines allowed individual workers to produce more, reducing the price of many goods, increasing demand and generating a need for more workers. Entirely new jobs were created to oversee the machines. As companies got bigger, they required managers, accountants and other support staff.

Networks as models of word storage: G. R. Kiss

This paper describes a trial-and-error device which learns to play the game of Noughts and Crosses. It was initially constructed from matchboxes and coloured beads and subsequently simulated in essentials by a program for a Pegasus 2 computer. The parameters governing the adaptive behaviour of this automaton are described and preliminary observations on its performance are briefly reported.

TABLE OF CONTENTS FOR the two volumes of papers and discussions of papers from the 1959 conference held at the National Physical Laboratory, sometimes known as "The Teddington Conference". Officially these two volumes are the Proceedings of the Symposium on Mechanisation of Thought Processes. Many of the classics are downloadable separately, the remainder are available from the longer downloads of the complete volumes:Vol 1 = http://aitopics.org/sites/default/files/classic/TeddingtonConference/Mechanisation of Thought Processes Vol. 1.pdfVol. 2 = http://aitopics.org/sites/default/files/classic/TeddingtonConference/Mechanisation of Thought Processes Vol. 2.pdfTeddington Conference