How to get to pakkret in downtown Bangkok
Publish: 2021-05-01 12:21:10
1.
DHL mail to Bangkok about 3 days to arrive, freight charged according to the first weight of a Jin
2. Intl School of Bangkok address: 39 / 7 SOI nichada Thani, samakee Road, Amphur pakkret, Nonthaburi 11120 Thailand. The transportation and accommodation are not clear
3. Parquet, bang phut, is from two places
4. In fact, Chiang Mai is not the second largest city in Thailand, but Chiang Lai is not a big city at all.
here are the 20 largest cities in Thailand.
population (October 2008)
1 Bangkok 5705061
2 Nonthaburi 264651
3 Pak KRET 173622
4 Hat Yai 157, 596
5 Chiang Mai 147504
6 Nakhon Ratchasima 146244
7 Udon Thani 141751
8 Surat Thani 127237
9 Khon Kaen 118667
10 lokun Nakhon Si Thammarat 108317
11 Pattaya 104236
12 Nakhon Sawan 92, North LAMPO, 177
13 Ubon Ratchathani 84866
14 Nakhon Pathom 83388
15 Phitsanulok 77444
16 Phuket 76208
17 Songkhla 73170
18 Chiang Rai 69726
19 Yala 63357
20 Dongli Trang 61320
here are the 20 largest cities in Thailand.
population (October 2008)
1 Bangkok 5705061
2 Nonthaburi 264651
3 Pak KRET 173622
4 Hat Yai 157, 596
5 Chiang Mai 147504
6 Nakhon Ratchasima 146244
7 Udon Thani 141751
8 Surat Thani 127237
9 Khon Kaen 118667
10 lokun Nakhon Si Thammarat 108317
11 Pattaya 104236
12 Nakhon Sawan 92, North LAMPO, 177
13 Ubon Ratchathani 84866
14 Nakhon Pathom 83388
15 Phitsanulok 77444
16 Phuket 76208
17 Songkhla 73170
18 Chiang Rai 69726
19 Yala 63357
20 Dongli Trang 61320
5. AI (Artificial Intelligence)“ The term "artificial intelligence" was first put forward at the Dartmouth society in 1956. Since then, researchers have developed many theories and principles, and the concept of artificial intelligence has been expanded. Artificial intelligence is a very challenging science. People engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a very wide range of science, it is composed of different fields, such as machine learning, computer vision and so on. Generally speaking, one of the main goals of artificial intelligence research is to enable machines to be competent for some complex tasks that usually need human intelligence to complete. But different times and different people have different understanding of this kind of "complex work". For example, the heavy scientific and engineering computation should be undertaken by the human brain. Now the computer can not only complete this kind of computation, but also do it faster and more accurately than the human brain. Because contemporary people no longer regard this kind of computation as "complex tasks that need human intelligence to complete", it can be seen that the definition of complex work changes with the development of the times and the progress of technology, The specific goal of artificial intelligence naturally develops with the changes of the times. On the one hand, it keeps making new progress; on the other hand, it turns to more meaningful and difficult goals. At present, the main material means that can be used to study artificial intelligence and the machine that can realize artificial intelligence technology are computers. The development history of artificial intelligence is connected with the development history of computer science and technology. In addition to computer science, AI also involves information theory, cybernetics, automation, bionics, biology, psychology, mathematical logic, linguistics, medicine and philosophy
the main contents of artificial intelligence research include: knowledge representation, automatic reasoning and search method, machine learning and knowledge acquisition, knowledge processing system, natural language understanding, computer vision, intelligent robot, automatic programming and so on
knowledge representation is one of the basic problems of artificial intelligence. Reasoning and searching are closely related to representation methods. Common knowledge representation methods include logic representation, proction representation, semantic network representation and frame representation
common sense naturally attracts people's attention. Many methods have been proposed, such as non monotonic reasoning and qualitative reasoning, to express and deal with common sense from different angles
automatic reasoning in problem solving is the process of using knowledge. Because there are many kinds of knowledge representation methods, there are many kinds of reasoning methods. Reasoning process can be divided into dective reasoning and non dective reasoning. Predicate logic is the basis of dective reasoning. Inheritance performance reasoning in structured representation is non dective. Due to the need of knowledge processing, a variety of non reasoning methods have been proposed in recent years, such as connection mechanism reasoning, analogy reasoning, case-based reasoning, backward reasoning and restricted reasoning
search is a problem solving method in artificial intelligence, and the search strategy determines the priority of knowledge used in a reasoning step of problem solving. It can be divided into blind search without information guidance and heuristic search with experience knowledge guidance. Heuristic knowledge is often represented by heuristic functions. The more fully the heuristic knowledge is used, the smaller the search space is. Typical heuristic search methods include a * and AO * algorithms. In recent years, the research of search methods began to pay attention to the super large-scale search problems with millions of nodes
machine learning is another important subject of artificial intelligence. Machine learning refers to the process of acquiring new knowledge in a certain sense of knowledge representation. According to different learning mechanisms, it mainly includes inction learning, analysis learning, connection mechanism learning and genetic learning
knowledge processing system is mainly composed of knowledge base and inference engine. When the amount of knowledge is large and there are many kinds of representation methods, the reasonable organization and management of knowledge is important. In order to record the results or communicate, a database or blackboard mechanism should be set up. If the expert knowledge of a certain field (such as medical diagnosis) is stored in the knowledge base, such knowledge system is called expert system. In order to meet the needs of solving complex problems, a single expert system is developing to a multi-agent distributed artificial intelligence system. At this time, knowledge sharing, cooperation between agents, and the emergence and handling of contradictions will be the key issues< Artificial intelligence (AI) is a challenging science. People who are engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a very wide range of science, it is composed of different fields, such as machine learning, computer vision and so on. Generally speaking, the purpose of artificial intelligence is to make the computer think like a human. This is not an easy thing. If you want to make a machine that can think, you must know what is thinking, what is wisdom, and what is its performance. You can say that science
has wisdom, but you will never say that a passer-by can do nothing without knowledge. You also dare not say that a child does not have wisdom, but for a machine, you dare not say that it has wisdom, So how does wisdom distinguish? What we say, what we do and what we think flow out of our brain like a spring. It's so natural, but can machines? What kind of machines are intelligent? Scientists have made cars, trains, airplanes, radios and so on. They imitate the functions of our body organs, but can they imitate the functions of the human brain? So far, we only know that the thing in our tianlinggai is an organ made up of billions of nerve cells. We know little about it, and imitating it may be the most difficult thing in the world
Turing, a British scientist, made a contribution to the definition of wisdom. If a machine can pass the experiment called Turing experiment, it is intelligent. The essence of Turing experiment is that people can't distinguish between machine's behavior and human's behavior without looking at the appearance, the machine is intelligent. Don't think that Turing's only contribution will make him famous in history. If you are a computer student, you will know that for computer people, winning Turing prize is equal to physicist winning Nobel Prize. Turing laid the foundation of computer generation in theory. Without his outstanding contribution, there can be no such thing in the world, let alone network
long before the advent of computers, scientists had hoped to build machines that could simulate human thinking. In this regard, I would like to mention another outstanding mathematician, philosopher Boole, who, together with other outstanding scientists, established the thinking structure and method of intelligent machines by mathematically and accurately describing human thinking, It is he who created the basis of logic used in our computers today
I think anyone who has studied computer will be familiar with Boolean algebra, which is the foundation of Boolean algebra. After the advent of computers, human beings began to have a tool that can simulate human thinking. In the years to come, countless scientists worked hard for this goal. Now artificial intelligence is no longer the patent of several scientists. Almost all computer departments in universities all over the world are studying this subject, College students who study computer also have to learn such a course. With our unremitting efforts, computers seem to have become very smart now. In the just concluded chess competition, computers have won people, which is well known. You may not notice that in some places computers help people to do other work that originally belonged only to human beings, With its high speed and accuracy, computer plays its role for human beings. Artificial intelligence is always the frontier subject of computer science. Computer programming language and other computer software exist because of the progress of artificial intelligence<
now human beings have improved the computing power of computers to an unprecedented level, and artificial intelligence is also leading the tide of computer development in the next century. Now the development of artificial intelligence is not very obvious e to the theoretical limitations, but it will have a profound impact on our lives like today's network
in the world, the research on artificial intelligence has been started very early, but the real realization of artificial intelligence should start from the birth of computer, at this time, it is possible for human beings to realize human intelligence with the help of machine. AI was first put forward at a conference in 1956. After that, some scientific efforts have been made to develop it. The progress of artificial intelligence is not as fast as we expected, because the basic theory of artificial intelligence is not complete, we can not explain why our brain can think, what this thinking comes from, why this thinking can be proced and so on. But after decades of development, artificial intelligence is influencing people's lives with its great power
let's review the development of computer along with the development of artificial intelligence. In 1941, the first computer jointly developed by the United States and Germany was born. Since then, the methods of human storing and processing information have undergone revolutionary changes. The size of the first computer is not very good. It's fat and delicate. It needs to work in an air-conditioned room. If you want it to deal with something, you need to connect the circuit again. It's not a labor-saving job. Rewire thousands of wires. I think today's programmers are living in paradise
in 1949, we finally invented a computer that can store programs. In this way, programming programs can be saved without soldering. Because programming has become very simple, the development of computer theory has finally led to the emergence of artificial intelligence theory. People can finally find a way to store and process information automatically
although it seems that this new machine can realize part of human intelligence, it was not until the 1950s that people connected human intelligence with this new machine. We noticed the old man with a big stomach nearby. His research on feedback theory finally led him to come up with a conclusion that all the results of human intelligence are the results of feedback, and intelligence is generated by continuously feeding the results back to the body. Our toilet is a very good example. The reason why water doesn't flow constantly is that there is a device to detect the change of water level. If there is too much water, the water pipe will be turned off. This realizes feedback, which is a kind of negative feedback. If even the devices in our toilets can achieve feedback, then we should be able to use a machine to achieve feedback, and then realize the machine form of human intelligence
the main contents of artificial intelligence research include: knowledge representation, automatic reasoning and search method, machine learning and knowledge acquisition, knowledge processing system, natural language understanding, computer vision, intelligent robot, automatic programming and so on
knowledge representation is one of the basic problems of artificial intelligence. Reasoning and searching are closely related to representation methods. Common knowledge representation methods include logic representation, proction representation, semantic network representation and frame representation
common sense naturally attracts people's attention. Many methods have been proposed, such as non monotonic reasoning and qualitative reasoning, to express and deal with common sense from different angles
automatic reasoning in problem solving is the process of using knowledge. Because there are many kinds of knowledge representation methods, there are many kinds of reasoning methods. Reasoning process can be divided into dective reasoning and non dective reasoning. Predicate logic is the basis of dective reasoning. Inheritance performance reasoning in structured representation is non dective. Due to the need of knowledge processing, a variety of non reasoning methods have been proposed in recent years, such as connection mechanism reasoning, analogy reasoning, case-based reasoning, backward reasoning and restricted reasoning
search is a problem solving method in artificial intelligence, and the search strategy determines the priority of knowledge used in a reasoning step of problem solving. It can be divided into blind search without information guidance and heuristic search with experience knowledge guidance. Heuristic knowledge is often represented by heuristic functions. The more fully the heuristic knowledge is used, the smaller the search space is. Typical heuristic search methods include a * and AO * algorithms. In recent years, the research of search methods began to pay attention to the super large-scale search problems with millions of nodes
machine learning is another important subject of artificial intelligence. Machine learning refers to the process of acquiring new knowledge in a certain sense of knowledge representation. According to different learning mechanisms, it mainly includes inction learning, analysis learning, connection mechanism learning and genetic learning
knowledge processing system is mainly composed of knowledge base and inference engine. When the amount of knowledge is large and there are many kinds of representation methods, the reasonable organization and management of knowledge is important. In order to record the results or communicate, a database or blackboard mechanism should be set up. If the expert knowledge of a certain field (such as medical diagnosis) is stored in the knowledge base, such knowledge system is called expert system. In order to meet the needs of solving complex problems, a single expert system is developing to a multi-agent distributed artificial intelligence system. At this time, knowledge sharing, cooperation between agents, and the emergence and handling of contradictions will be the key issues< Artificial intelligence (AI) is a challenging science. People who are engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a very wide range of science, it is composed of different fields, such as machine learning, computer vision and so on. Generally speaking, the purpose of artificial intelligence is to make the computer think like a human. This is not an easy thing. If you want to make a machine that can think, you must know what is thinking, what is wisdom, and what is its performance. You can say that science
has wisdom, but you will never say that a passer-by can do nothing without knowledge. You also dare not say that a child does not have wisdom, but for a machine, you dare not say that it has wisdom, So how does wisdom distinguish? What we say, what we do and what we think flow out of our brain like a spring. It's so natural, but can machines? What kind of machines are intelligent? Scientists have made cars, trains, airplanes, radios and so on. They imitate the functions of our body organs, but can they imitate the functions of the human brain? So far, we only know that the thing in our tianlinggai is an organ made up of billions of nerve cells. We know little about it, and imitating it may be the most difficult thing in the world
Turing, a British scientist, made a contribution to the definition of wisdom. If a machine can pass the experiment called Turing experiment, it is intelligent. The essence of Turing experiment is that people can't distinguish between machine's behavior and human's behavior without looking at the appearance, the machine is intelligent. Don't think that Turing's only contribution will make him famous in history. If you are a computer student, you will know that for computer people, winning Turing prize is equal to physicist winning Nobel Prize. Turing laid the foundation of computer generation in theory. Without his outstanding contribution, there can be no such thing in the world, let alone network
long before the advent of computers, scientists had hoped to build machines that could simulate human thinking. In this regard, I would like to mention another outstanding mathematician, philosopher Boole, who, together with other outstanding scientists, established the thinking structure and method of intelligent machines by mathematically and accurately describing human thinking, It is he who created the basis of logic used in our computers today
I think anyone who has studied computer will be familiar with Boolean algebra, which is the foundation of Boolean algebra. After the advent of computers, human beings began to have a tool that can simulate human thinking. In the years to come, countless scientists worked hard for this goal. Now artificial intelligence is no longer the patent of several scientists. Almost all computer departments in universities all over the world are studying this subject, College students who study computer also have to learn such a course. With our unremitting efforts, computers seem to have become very smart now. In the just concluded chess competition, computers have won people, which is well known. You may not notice that in some places computers help people to do other work that originally belonged only to human beings, With its high speed and accuracy, computer plays its role for human beings. Artificial intelligence is always the frontier subject of computer science. Computer programming language and other computer software exist because of the progress of artificial intelligence<
now human beings have improved the computing power of computers to an unprecedented level, and artificial intelligence is also leading the tide of computer development in the next century. Now the development of artificial intelligence is not very obvious e to the theoretical limitations, but it will have a profound impact on our lives like today's network
in the world, the research on artificial intelligence has been started very early, but the real realization of artificial intelligence should start from the birth of computer, at this time, it is possible for human beings to realize human intelligence with the help of machine. AI was first put forward at a conference in 1956. After that, some scientific efforts have been made to develop it. The progress of artificial intelligence is not as fast as we expected, because the basic theory of artificial intelligence is not complete, we can not explain why our brain can think, what this thinking comes from, why this thinking can be proced and so on. But after decades of development, artificial intelligence is influencing people's lives with its great power
let's review the development of computer along with the development of artificial intelligence. In 1941, the first computer jointly developed by the United States and Germany was born. Since then, the methods of human storing and processing information have undergone revolutionary changes. The size of the first computer is not very good. It's fat and delicate. It needs to work in an air-conditioned room. If you want it to deal with something, you need to connect the circuit again. It's not a labor-saving job. Rewire thousands of wires. I think today's programmers are living in paradise
in 1949, we finally invented a computer that can store programs. In this way, programming programs can be saved without soldering. Because programming has become very simple, the development of computer theory has finally led to the emergence of artificial intelligence theory. People can finally find a way to store and process information automatically
although it seems that this new machine can realize part of human intelligence, it was not until the 1950s that people connected human intelligence with this new machine. We noticed the old man with a big stomach nearby. His research on feedback theory finally led him to come up with a conclusion that all the results of human intelligence are the results of feedback, and intelligence is generated by continuously feeding the results back to the body. Our toilet is a very good example. The reason why water doesn't flow constantly is that there is a device to detect the change of water level. If there is too much water, the water pipe will be turned off. This realizes feedback, which is a kind of negative feedback. If even the devices in our toilets can achieve feedback, then we should be able to use a machine to achieve feedback, and then realize the machine form of human intelligence
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