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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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發(fā)表于 2025-3-21 16:52:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Artificial Intelligence
期刊簡(jiǎn)稱Third Congress of th
影響因子2023Pietro Torasso
視頻videohttp://file.papertrans.cn/147/146717/146717.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Artificial Intelligence; Third Congress of th Pietro Torasso Conference proceedings 1993 Springer-Verlag Berlin Heidelberg 1993
影響因子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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Computing 3-valued stable models by using the ATMS,nge berichtet. Wer allerdings - über eine blo?e Begriffsbestimmung hinaus - n?here Auskünfte über neu- ronale Netze sucht und vielleicht sogar den Wunsch verspürt, ihre Funktionsweise zu verstehen, der wird bestenfalls auf anspruchsvolle und zumeist englischsprachige Lite- ratur verwiesen. Der Aufwa
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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 Komplexit?t gepr?gt 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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