Download Advanced Artificial Intelligence (Series on Intelligence by Zhongzhi Shi PDF

By Zhongzhi Shi

Synthetic intelligence is a department of laptop technology and a self-discipline within the examine of computing device intelligence, that's, constructing clever machines or clever platforms imitating, extending and augmenting human intelligence via synthetic capacity and strategies to achieve clever habit. complicated synthetic Intelligence comprises sixteen chapters. The content material of the e-book is novel, displays the examine updates during this box, and particularly summarizes the author's medical efforts over a long time. The e-book discusses the tools and key know-how from idea, set of rules, process and purposes with regards to synthetic intelligence. This e-book could be considered as a textbook for senior scholars or graduate scholars within the details box and comparable tertiary specialities. it's also appropriate as a reference e-book for proper clinical and technical team of workers.

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4. 5. 6. 7. 8. 9. What is Artificial Intelligence (AI)? What is the research objective of AI? Please briefly introduce the main stages of development in the history of AI. What are the five fundamental questions for AI research? What is the physical symbol system? What is the physical symbol system assumption? What is symbolic intelligence? What is computational intelligence? Please describe the simple model of machine learning and its basic elements. What is Distributed Artificial Intelligence (DAI)?

Actually, human neural networks capable of large-scale parallel and distributed information processing inherently support flexible information processing. Thus, we proposed the artificial thought model in Fig. 3. The artificial thought model in Fig. 3 clearly illustrates that artificial thought bases on open autonomous systems, takes fully advantages of varieties of information processing patterns to achieve collective intelligence, then proceeds with flexible information processing, and finally solves real-world problems.

Circumscription of a predict P means to exclude most models based on P, and select only a minimum set of models in which P is assigned to true. Different circumscription criteria will produce different minimizations of predicates. Quantitative simulation with computers is commonly applied for scientific computing. Yet people often predict or explain system behaviors without detailed calculation data. Such problem solving can not be achieved simply through deduction, thus qualitative reasoning is proposed in AI for representation and reasoning without precise quantitative information.

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