MARC details
000 -LIDER |
fixed length control field |
05089nam a22005895i 4500 |
001 - CONTROL NUMBER |
control field |
978-3-031-71167-1 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250516160135.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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240910s2024 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783031711671 |
-- |
978-3-031-71167-1 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.758 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UMZ |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM051230 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UMZ |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.1 |
Edition number |
23 |
245 10 - TITLE STATEMENT |
Title |
Neural-Symbolic Learning and Reasoning |
Medium |
[electronic resource] : |
Remainder of title |
18th International Conference, NeSy 2024, Barcelona, Spain, September 9-12, 2024, Proceedings, Part I / |
Statement of responsibility, etc. |
edited by Tarek R. Besold, Artur d'Avila Garcez, Ernesto Jimenez-Ruiz, Roberto Confalonieri, Pranava Madhyastha, Benedikt Wagner. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2024. |
264 #1 - |
-- |
Cham : |
-- |
Springer Nature Switzerland : |
-- |
Imprint: Springer, |
-- |
2024. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXIII, 421 p. 111 illus., 92 illus. in color. |
Other physical details |
online resource. |
336 ## - |
-- |
text |
-- |
txt |
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rdacontent |
337 ## - |
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computer |
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c |
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rdamedia |
338 ## - |
-- |
online resource |
-- |
cr |
-- |
rdacarrier |
347 ## - |
-- |
text file |
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PDF |
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rda |
490 1# - SERIES STATEMENT |
Series statement |
Lecture Notes in Artificial Intelligence, |
International Standard Serial Number |
2945-9141 ; |
Volume/sequential designation |
14979 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
-- Context Helps: Integrating context information with videos in a graph-based HAR framework. -- Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models. -- Variable Assignment Invariant Neural Networks for Learning Logic Programs. -- ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge. -- The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. -- A semantic loss for ontology classification. -- On the use of Neurosymbolic AI for Defending against Cyber Attacks. -- Bayesian Inverse Graphics for Few-Shot Concept Learning. -- Simple and Effective Transfer Learning for Neuro-Symbolic Integration. -- Ethical Reward Machines. -- Embed2Rule - Scalable Neuro-Symbolic Learning via Latent Space Weak-Labelling. -- ULLER: A Unified Language for Learning and Reasoning. -- Disentangling Visual Priors: Unsupervised Learning of Scene Interpretations with Compositional Autoencoder. -- Probing LLMs for logical reasoning. -- Enhancing Machine Learning Predictions through Knowledge Graph Embeddings. -- Terminating Differentiable Tree Experts. -- Valid Text-to-SQL Generation with Unification-based DeepStochLog. -- Enhancing Geometric Ontology Embeddings for EL++ with Negative Sampling and Deductive Closure Filtering. -- Lattice-preserving ALC ontology embeddings. -- Towards Learning Abductive Reasoning using VSA Distributed Representations. -- Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation. -- Leveraging Neurosymbolic AI for Slice Discovery. . |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This book constitutes the refereed proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, held in Barcelona, Spain during September 9-12th, 2024. The 30 full papers and 18 short papers were carefully reviewed and selected from 89 submissions, which presented the latest and ongoing research work on neurosymbolic AI. Neurosymbolic AI aims to build rich computational models and systems by combining neural and symbolic learning and reasoning paradigms. This combination hopes to form synergies among their strengths while overcoming their complementary weaknesses. |
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Owner |
UABC ; |
Method of acquisition |
Perpetuidad |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Software engineering. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Software Engineering. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Artificial Intelligence. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Besold, Tarek R. |
Relator term |
editor. |
-- |
(orcid)0000-0002-8002-0049 |
-- |
https://orcid.org/0000-0002-8002-0049 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
d'Avila Garcez, Artur. |
Relator term |
editor. |
-- |
(orcid)0000-0001-7375-9518 |
-- |
https://orcid.org/0000-0001-7375-9518 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Jimenez-Ruiz, Ernesto. |
Relator term |
editor. |
-- |
(orcid)0000-0002-9083-4599 |
-- |
https://orcid.org/0000-0002-9083-4599 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Confalonieri, Roberto. |
Relator term |
editor. |
-- |
(orcid)0000-0003-0936-2123 |
-- |
https://orcid.org/0000-0003-0936-2123 |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Madhyastha, Pranava. |
Relator term |
editor. |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Wagner, Benedikt. |
Relator term |
editor. |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783031711664 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783031711688 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Lecture Notes in Artificial Intelligence, |
-- |
2945-9141 ; |
Volume number/sequential designation |
14979 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-71167-1 |
912 ## - |
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ZDB-2-SCS |
912 ## - |
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ZDB-2-SXCS |
912 ## - |
-- |
ZDB-2-LNC |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Libro Electrónico |