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Why knowledge representation matters

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Yoav ShohamAuthors Info & Claims

Communications of the ACM, Volume 59, Issue 1

Pages 47 - 49

https://doi.org/10.1145/2803170

Published: 21 December 2015 Publication History

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Abstract

A personal story: From philosophy to software.

References

[1]

AAAI Spring Symposium on KRR: Integrating Symbolic and Neural Approaches, Stanford University (Mar. 2015); https://sites.google.com/site/krr2015/

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Bratman, M. Intentions, Plans, and Practical Reason. Harvard University Press, 1987.

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Cohen, P. and Levesque, H. Intention is choice + commitment. J. Artificial Intelligence 42 (1990), 213--261.

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Icard, T., Pacuit, E., and Shoham, Y. Joint revision of belief and intention. In Joint Proceedings of the 12^th International Conference on Principles of Knowledge Representation and Reasoning (KR), 2010.

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Shoham, Y. Logics of intention and the database perspective. J. Philosophical Logic 38 (2009), 633--647.

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Cited By

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Banerjee S(2024)Generating Complex Explanations for Artificial Intelligence Models: An Application to Clinical Data on Severe Mental IllnessLife10.3390/life1407080714:7(807)Online publication date: 26-Jun-2024
https://doi.org/10.3390/life14070807
Lakshmisha NTarafdar KButoliya ATiwari SSaifee QKumar DJayasundar RMukherji SGadre V(2023)Deep Learning with Sparse Representations for Biomedical Signals2023 International Conference on Microwave, Optical, and Communication Engineering (ICMOCE)10.1109/ICMOCE57812.2023.10167363(1-8)Online publication date: 26-May-2023
https://doi.org/10.1109/ICMOCE57812.2023.10167363
van Zee MDoder Dvan der Torre LDastani MIcard TPacuit E(2020)Intention as commitment toward timeArtificial Intelligence10.1016/j.artint.2020.103270283(103270)Online publication date: Jun-2020
https://doi.org/10.1016/j.artint.2020.103270
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Index Terms

Why knowledge representation matters
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management

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Information

Published In

Communications of the ACM Volume 59, Issue 1

January 2016

120 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2859829

Editor:
Moshe Y. Vardi
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 21 December 2015

Published in CACM Volume 59, Issue 1

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Banerjee S(2024)Generating Complex Explanations for Artificial Intelligence Models: An Application to Clinical Data on Severe Mental IllnessLife10.3390/life1407080714:7(807)Online publication date: 26-Jun-2024
https://doi.org/10.3390/life14070807
Lakshmisha NTarafdar KButoliya ATiwari SSaifee QKumar DJayasundar RMukherji SGadre V(2023)Deep Learning with Sparse Representations for Biomedical Signals2023 International Conference on Microwave, Optical, and Communication Engineering (ICMOCE)10.1109/ICMOCE57812.2023.10167363(1-8)Online publication date: 26-May-2023
https://doi.org/10.1109/ICMOCE57812.2023.10167363
van Zee MDoder Dvan der Torre LDastani MIcard TPacuit E(2020)Intention as commitment toward timeArtificial Intelligence10.1016/j.artint.2020.103270283(103270)Online publication date: Jun-2020
https://doi.org/10.1016/j.artint.2020.103270
Denaux RGomez-Perez JGromann DEspinosa Anke LDeclerck T(2019)VecsigrafoSemantic Web10.3233/SW-19036110:5(881-908)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.3233/SW-190361
Fatemi BRavanbakhsh SPoole D(2019)Improved knowledge graph embedding using background taxonomic informationProceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v33i01.33013526(3526-3533)Online publication date: 27-Jan-2019
https://dl.acm.org/doi/10.1609/aaai.v33i01.33013526
Walker H(2019)CLASSROOM VIGNETTESWhat kind of computing program(s) should my school offer?ACM Inroads10.1145/336280810:4(10-14)Online publication date: 15-Nov-2019
https://dl.acm.org/doi/10.1145/3362808
ELLMAUTHALER SSCHULZ C(2019)Introduction to the TPLP Special Issue on User-oriented Logic Programming and Reasoning ParadigmsTheory and Practice of Logic Programming10.1017/S147106841800051019:2(109-113)Online publication date: 15-Feb-2019
https://doi.org/10.1017/S1471068418000510
Gnjatović M(2019)Conversational Agents and Negative Lessons from BehaviourismInnovations in Big Data Mining and Embedded Knowledge10.1007/978-3-030-15939-9_13(259-274)Online publication date: 3-Jul-2019
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Grosz B(2018)Smart enough to talk with us? foundations and challenges for dialogue capable ai systemsComputational Linguistics10.1162/COLI_a_0031344:1(1-15)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1162/COLI_a_00313
Zhu HBayley I(2018)Discovering and Investigating Cyberpatterns: The Road Map to Link Data Analytics with Reusable KnowledgeIEEE Systems, Man, and Cybernetics Magazine10.1109/MSMC.2018.28212004:3(14-22)Online publication date: Jul-2018
https://doi.org/10.1109/MSMC.2018.2821200
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Knowledge Representation: A Conceptual Modeling Approach

Deriving knowledge representation guidelines by analyzing knowledge engineer behavior

A Software Engineering Ontology as Software Engineering Knowledge Representation

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