Artificial Intelligence and Symbolic Computation [electronic resource] : 13th International Conference, AISC 2018, Suzhou, China, September 16–19, 2018, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 11110Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: X, 269 p. 59 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319999579

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

Artificial Intelligence, Theorem Proving and SAT Solving -- Symbolic and Numerical Computation -- Intelligent Documents and Collective Intelligence.

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2018, held in Suzhou, China, in September 2018. The 13 full papers presented together with 5 short and 2 invited papers were carefully reviewed and selected from 31 submissions. The AISC conference is an important forum when it comes to ensuring that ideas, theoretical insights, methods and results from traditional AI can be discussed and showcased, while fostering new links with other areas of AI such as probabilistic reasoning and deep learning. .

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Artificial Intelligence, Theorem Proving and SAT Solving -- Symbolic and Numerical Computation -- Intelligent Documents and Collective Intelligence.

This book constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2018, held in Suzhou, China, in September 2018. The 13 full papers presented together with 5 short and 2 invited papers were carefully reviewed and selected from 31 submissions. The AISC conference is an important forum when it comes to ensuring that ideas, theoretical insights, methods and results from traditional AI can be discussed and showcased, while fostering new links with other areas of AI such as probabilistic reasoning and deep learning. .

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