( ) are false statements about the value, function and significance of artificial intelligence.()
A. Philosophical level: means and methods to prove and verify the existence value of human (human nature);The ideas and theories derived from the fundamental problems of artificial intelligence will prompt human beings to look back at themselves and think about the value of human beings and the meaning of existence.
B. Life level: Accelerate the evolution of human society towards a higher stage of civilization
C. Social level: promote the evolution of human beings from natural intelligent life on earth to higher intelligent life in the universe.
D. Technical level: the new engine of human social economy and social development, and the sustained driving force of a new round of economic revolution.
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( ) are true statements about Computational theory of mind.()
A. It is characterized by the nature of mind as computation and thinking as A process of information processing
B. Reasonably explain the results and causes contained in meaning
C. Be able to explain behaviors in terms of beliefs and intentions while at the same time making them reasonably relevant to the physical world
D. Exorcise the mystery of the mind producing intelligent behavior.
The order from first to last appears is ()
A. Life evolution, brain evolution, human evolution, machine evolution
B. Life evolution, human evolution, brain evolution, machine evolution
C. Brain evolution, life evolution, human evolution, machine evolution
D. Brain evolution, human evolution, life evolution, machine evolution
The wrong statement about the significance of perceptron is ()
A. Perceptron is a pioneering work of artificial neural network to solve linear classification problem.
Because the perceptron is simple and easy to understand, it is appropriate to be the entry model of artificial neural network learning.
C. Perceptron is the first artificial neural network model that can solve XOR problem
D. Because the perceptron can't solve the problem of nonlinear classification, it inspires many kinds of artificial neural network models. Explanation: The perceptron does not solve the XOR problem.
() is not an intuitive feature of patterns
A. Observability
B. Predictability
C. Similarity
Differentiability
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