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Titlebook: Advances in Artificial Intelligence; Third Congress of th Pietro Torasso Conference proceedings 1993 Springer-Verlag Berlin Heidelberg 1993

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发表于 2025-3-21 16:52:43 | 显示全部楼层 |阅读模式
期刊全称Advances in Artificial Intelligence
期刊简称Third Congress of th
影响因子2023Pietro Torasso
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Artificial Intelligence; Third Congress of th Pietro Torasso Conference proceedings 1993 Springer-Verlag Berlin Heidelberg 1993
影响因子This book contains 22 long papers and 13 short ones selectedfor theScientific Track of the Third Congress of theItalian Association for Artificial Intelligence. The longpapers report completed work whereas theshort papers aremainly devoted to ongoing research. The papers reportsignificant work carried out in the different subfieldsofartificial intelligence not only in Italy but alsoelsewhere: 8 of the papers come from outside Italy, with 2from the United States and 1 eachfrom Australia, Austria,Germany, The Netherlands, Spain, and Turkey.The papers in the book are grouped into parts on: automatedreasoning; cognitive models; connectionist models andsubsymbolic approaches; knowledge representation andreasoning; languages, architectures and tools for AI;machine learning; naturallanguage; planning and robotics;and reasoning about physical systems and artifacts.
Pindex Conference proceedings 1993
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书目名称Advances in Artificial Intelligence网络公开度学科排名




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书目名称Advances in Artificial Intelligence被引频次学科排名




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书目名称Advances in Artificial Intelligence年度引用学科排名




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Abstract properties for the choice provability relation in nonmonotonic logics,tice system, to identify what changes were needed, and how small changes would affect the overall picture.  Significant time and effort were devoted to these projects and although they achieved some success, the complex nature of the criminal justice system and the difficulties associated with impro
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New systems for extracting 3-D shape information from images,dung geworden. Dies insbesondere deshalb, weil praxisrelevante Problemstellungen sehr schnell durch ein hohes Mass an Komplexität geprägt sind, sodass der Einsatz von mathematischen Optimierungsverfahren im Rahmen von Entscheidungsmodellen allenfalls nicht mehr gegeben ist. Dies ist vor allem bei vi
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,Randomness, imitation or reason explain agents’ behaviour into an artificial stock market?,lligence(AI) modeling method avoids the complex mechanism analysis and describes the object process by its historic data, therefore, it is very advantageous especially for complex industrial process in which historic process data have been accumulated plentifully. In this chapter, several important
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