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By Zhongzhi Shi

Man made intelligence is a department of computing device technological know-how and a self-discipline within the research of computer intelligence, that's, constructing clever machines or clever platforms imitating, extending and augmenting human intelligence via man made capacity and strategies to achieve clever habit. complex man made Intelligence involves sixteen chapters. The content material of the booklet is novel, displays the study updates during this box, and particularly summarizes the author's clinical efforts over a long time. The publication discusses the tools and key know-how from conception, set of rules, approach and functions on the topic of synthetic intelligence. This booklet could be considered as a textbook for senior scholars or graduate scholars within the info box and similar tertiary specialities. it's also compatible as a reference e-book for correct medical and technical body of workers.

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Male(xiao-li). Male(lao-li). Taken these rules and facts as inputs of the Prolog engine, we can compile and execute it. - Son(Y,X), we will get the result Son(xiao-li, lao-li). 2 Data structure and recursion in Prolog An important and powerful tool in problem solving and programming, recursion is extensively used in data structures and programs of Prolog. Term is a basic data structure in Prolog. Everything including program and data is expressed in form of term. Terms of Prolog are defined recursively by the following BNF rule: ::= | | |() where structures are also called compound terms, and are generated by the BNF rule: 36 Advanced Artificial Intelligence ::= {, }) ::= List is an important data structure supported by Prolog.

2) q(a). (3) r(a). -q(Y), r(Y)” be the goal. Then the SLD resolution process will fall into an endless loop. - r(Y),q(Y)”, then we will get the result Y=a after the SLD resolution process. In order to guarantee the completeness of the SLD resolution process, the width-first search strategy must be embodied in search rules of Prolog. Howerev, as a result, both the time and space efficiency of the process will be decreased, as while as the complexity of the process is increased. A trade-off is to maintain the depth-first seach strategy that is used in Prolog, and supplement it with some programs which embody other search strategies and are written with the Prolog language.

A complex system can be resolved into several comparatively simple and task specific sub-modules, in order that the system can be easily constructed, debugged and maintained. It is more flexible to handle errors of decomposed sub-modules than a single integral module. On the other side, great economic and social benefit will be gained if the many existing centralized AI application systems can be used to construct distributed AI systems with minor modifications. For example, it will be extremely time-saving and practically effective if existing independent systems of liver diagnosis system, stomach diagnosis system, intestines diagnose system, etc.

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