Titlebook: Introduction to Artificial Intelligence; Mariusz Flasiński Textbook 2016 Springer International Publishing Switzerland 2016 Artificial Int

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書目名稱Introduction to Artificial Intelligence影響因子(影響力)




書目名稱Introduction to Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Introduction to Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度




書目名稱Introduction to Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Introduction to Artificial Intelligence被引頻次




書目名稱Introduction to Artificial Intelligence被引頻次學(xué)科排名




書目名稱Introduction to Artificial Intelligence年度引用




書目名稱Introduction to Artificial Intelligence年度引用學(xué)科排名




書目名稱Introduction to Artificial Intelligence讀者反饋




書目名稱Introduction to Artificial Intelligence讀者反饋學(xué)科排名

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Textbook 2016Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philo

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Textbook 2016orical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers...The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader..

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Structural Models of Knowledge Representationomain) with the help of general reasoning methods (Such standard reasoning methods are analogous to a universal reasoning scheme, which is discussed in a previous chapter.). Such a specification is of the . form. It can be treated as a kind of encyclopedia for the domain which contains descriptions of notions, objects, relations between them, etc.

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nitive science.Mathematical formalisms included in the appen.In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based rea

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Symbolic Artificial IntelligenceBasic methodological assumptions of methods which belong to . are presented in this chapter.

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amputation