analogical reasoning

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Old article-"pirate money"

that they are P1 and P2, and P2 is fierce. The best solution of P2 is of course: He had 100 gold coins and P1 had 0 gold coins. His vote is enough for 50%. Take a step forward. Now add a more fierce pirate P3. P1 knows -- P3 knows that he knows -- if the P3 scheme is rejected, the game will only continue from P1 and P2, and P1 won't get a gold coin. So P3 knows that as long as P1 is given a little sweetness, P1 will agree with his plan (of course, if P1 is not given a sweetness, nothing will be

Escape from your Xiao shenke (1): Do you have to go through it before you can understand it?

with thinking and reasoningWe get information from the failure and know why the previous method is inappropriate. This is why we sometimes think we need to experience it first. However, this does not mean that at any time we can only "discover after doing so ...", The most powerful capability of mankind isSocial learning-- Ordinary people learn from their own mistakes, smart people learn from others' mistakes. Another of the most powerful human abilities is induction and

Public comments written examination

This afternoon I attended the public comments examination. First, I had a variety of questions similar to the civil service examination, such as language reasoning, digital reasoning, and graphic reasoning. I found that I was really weak in this regard, there is no time to do it in the future, and there are various strange questions about graphic

[Semantic] research direction of ontology and Semantic Network

Research Direction:1. ontology modeling: Ontology-defined meta-model, Ontology-visualized modeling, model-to-ontology conversion ..2. Ontology Learning: Ontology extraction, formal concept analysis, and natural language processing ..3. Ontology storage: RDF/OWL storage, Ontology- ing, ontology database, object-oriented database, and deduction of object-oriented database4. Ontology query: RDF Query Language and ontology query language...5. Ontology reasoning

Swift BASICS (I)

failed. It may be similar to const modification in C language.VaR imini = 3 // variable, which can be not initialized VaR itmp: int32 // variable declaration. Itmp = 44 not initialized // variable assignment Here, swift uses the reasoning type for the data type, and its reasoning type also complies with the compatible rules for data type conversion in C language. VaR ftmp = 8.9 ftmp = 9 println ("\ (ftmp)"

Nonsense-machine intelligence

Nonsense-machine intelligence Human Thinking has rich backgrounds and is conducive to solving problems with rich backgrounds. Machine thinking is based on several computing components and the logic for solving the current problem. The solving logic is responsible for organizing the running order of these components. People are responsible for expressing this solution logic.The specific process of thinking generally goes through the stages of analysis, synthesis, comparison, abstraction, and gen

Solve ssh logon error-bash fork retry Resource temporarily unavailable

Solve ssh logon error-bash fork retry Resource temporarily unavailable An error is reported when a non-root user logs on to SSH. bash fork retry Resource temporarily unavailable. This problem may be caused by/etc/security/limits. the nproc in the d/90-nproc.conf file has reached the upper limit, or the above configuration file has been released only for specific users, while other users still have restrictions. The 90-nproc.conf here may be a machine. The solution is to modify the nproc ceiling

Artificial Intelligence first time assignment (115703020052 Wu Daoyu)

1. What do you think of artificial intelligence?Answer: Artificial intelligence refers to artificial methods to simulate and realize human intelligence.2, a brief description of reasoning, learning, storage, the relationship between the three!A: These three processes are interrelated and interact with each other. Through learning, to promote the reasoning, and to store the knowledge learned, the more knowle

Artificial Intelligence first time homework

1. What do you think of artificial intelligence?It is a new technological science to research and develop the theory, method, technology and application system for simulating, extending and expanding human intelligence. AI is a branch of computer science that attempts to understand the essence of intelligence and produces a new intelligent machine that responds in a similar way to human intelligence, including robotics, speech recognition, image recognition, natural language descriptions, and ex

Decision-making forest and convolutional neural network er

Many people now think that neural networks can resemble the mechanisms in the human brain. I think, perhaps, some of the mechanisms in the human brain are similar, but it must be a complex system. Because the human brain does not run so fast, it can recognize the universe. So intuitive to see the human brain should be a knowledge base plus a FAST index plus cascade recognition algorithm, the reason for cascading is because to ensure speed.But we can really not have to imitate the structure of th

Architects and Math

ability to organize the men and the difficult. In his career, a software architect has accumulated a great deal of knowledge and experience in a certain area, forming his own unique problem-solving methodology. The mathematical accomplishment of the software architect determines the level and height of TA's understanding and problem solving.The main method of mathematics is the art of logical reasoning in which ideas and techniques (technique) are in

Advanced: October 23, 2015 job answer

or projects by an independent audit institution or personnel, in accordance with relevant regulations and standards, and by means of the audit procedures and methods, and proposes an independent supervisory activity for improving the management benefits. 2 , Hall from where3Dimensions of System engineering. Logical dimension: logic reasoning, probability and statistical reasoning, fuzzy mathematicsTime Dim

Machine learning--Probability map model (HOMEWORK:MCMC)

In addition to precise reasoning, we also have the means to solve the distribution of a single variable in a probability graph by non-precise inference. In many cases, the probability map can not be simplified into a cluster tree, or simplified the number of random variables in a single regiment after the formation of a cluster, resulting in the efficiency of the mission tree calibration is low. As an example of image segmentation, if each pixel's lab

What other little-known potential is there in deep learning?

Deep learning at the start of the 2011-year Fire (Hinton), people would think that the learning (DL) is approximately equal to convolutional neural network (CNN), a supervised learning image recognition tool;Then came the word vector (Word2vec), people began to think that DL can also solve a part of the NLP problemThen long short term memory (LSTM) Suddenly more successful, people began to think that DL can also do time series prediction and sequence recognitionThen DeepMind published deep Q-net

A linear neural network based on perceptron model

Abstract: With the development of computational intelligence, artificial neural network has been developed. The industry now considers that it may not be appropriate to classify neural networks (NN) in artificial intelligence (AI), and that the classification of computational Intelligence (CI) can explain the nature of the problem. Some topics in evolutionary computing, artificial life and fuzzy logic systems are also classified as computational intelligence. Although the limits of computational

Feynman's lecture record

one of the examples of error judgments. Scientific reasoning requires some training, and we should try to teach people to learn this way of reasoning, because even at the lowest level, such errors are not uncommon today.Another important feature of science is its objectivity. It is necessary to treat the results objectively, because the experimenter is likely to favor a certain result. As a result of accid

Mathematical induction and recursion in the introduction of algorithms

Reasoning is a kind of logical thinking, a methodology, inductive inference is from the personality derivation to the general process, and deductive reasoning from the common to the personality of the process of recursion. The generality and particularity of things is the base point of the reasoning method, and the following example is a simple way to understand

Are you suitable for interactive design?

"Interaction designers need to have the ability to imagine complex behavior," says Alan Cooper. "Nail the true meaning of interactive design: to speculate on scenarios that might occur. Does this also mean that interactive design relies entirely on the sixth sense of ambiguity? Fortunately, we have the ability to be called "reasoning", which allows us to figure out the rules based on available data to speculate on what might happen. To do such a thi

Web expert system for Visual Prolog (10)

The core of Geni--Inference Machine (4) Verification Process Analysis 1, Geni Knowledge Base structureThe design and operation of expert system inference machine is closely related to its knowledge base structure.Geni Knowledge Base structure is a logical reasoning tree. The root node is the animal, which is the target of verification.Animal has 2 sub-nodes, that is, the sub-goal of verification. A node or sub-target, expressed in rule. For example:Ru

Several artificial intelligence Conference _SCI

Description: Purely personal view, for reference only. Tier-1 is more complete, tier-2 is not complete, tier-3 is very incomplete. In alphabetical order. Not very strictly speaking, tier-1 can be admirable, tier-2 can be respectable, Because Ai has a lot of related meetings, it is also good to list the tier-3. ========================================================== tier-1: IJCAI (1+): International Joint conference on Artificial Intelligence AAAI (1): National Conference on Artificial Intelli

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