Reasoning can be divided into( )according to the thinking direction of the reasoning process()
Analogical reasoning
B. Deductive reasoning
C. Hypothesis reasoning
D. Inductive reasoning
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The following statements about SLAM are correct()
A. SLAM refers to simultaneous positioning and map construction
B. Visual SLAM mainly uses the SLAM technology with the camera as the sensor
C. Laser SLAM mainly uses SLASM technology with lidar as sensor
Drawing is to solve the problem of environmental information around the robot
Among the following options, the core part of exoskeleton robot technology is()
A. Construction materials
B. Energy source
Control and drive
D. Biomechanics
Among the following statements about human reason and artificial intelligence, the wrong ones are ()
A. The functions of human rationality that are very meaningful for humans and artificial intelligence mainly include: cognitive rationality, method rationality and value rationality.
B. Cognitive rationality is the advanced intelligence of human beings, which is one of the ultimate goal abilities of strong artificial intelligence, at present, artificial intelligence has cognitive rationality.
C. Method rationality only pays attention to method and tool itself, and emphasizes that the characteristic and function value of rationality is to realize any purpose as the most effective tool and means.
D. The value of value rationality to AI lies in that it provides theoretical and philosophical basis for the design of AI ethics, legal system and morality, and makes the development of AI on a sound track.
The wrong statement about supervised learning classification is ()
A. The support vector machine method is suitable for high-dimensional space, and can be effectively used for small data sets.
B. In KNN nearest neighbor method, a large K value can reduce the influence of noise and make the boundary between categories clear.
C. The purpose of decision tree learning is to deal with decision trees without strong ability of example.
D. Naive Bayes is a method that allows the classifier to be constructed in a simple and direct way.
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