Learning modal theories

John W. Lloyd; Kee Siong Ng

doi:10.1007/978-3-540-73847-3_31

Learning modal theories

John W. Lloyd^*, Kee Siong Ng

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

This paper discusses how to learn theories that are modal, concentrating on the issue of how modal hypotheses are formed. Illustrations are given to show the usefulness of the ideas for agent applications.

Original language	English
Title of host publication	Inductive Logic Programming - 16th International Conference, ILP 2006, Revised Selected Papers
Publisher	Springer Verlag
Pages	320-334
Number of pages	15
ISBN (Print)	9783540738466
DOIs	https://doi.org/10.1007/978-3-540-73847-3_31
Publication status	Published - 2007
Event	16th International Conference of Inductive Logic Programming, ILP 2006 - Santiago de Compostela, Spain Duration: 24 Aug 2006 → 27 Aug 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4455 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference of Inductive Logic Programming, ILP 2006
Country/Territory	Spain
City	Santiago de Compostela
Period	24/08/06 → 27/08/06

Access to Document

10.1007/978-3-540-73847-3_31

Cite this

Lloyd, J. W., & Ng, K. S. (2007). Learning modal theories. In Inductive Logic Programming - 16th International Conference, ILP 2006, Revised Selected Papers (pp. 320-334). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4455 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-540-73847-3_31

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title = "Learning modal theories",

abstract = "This paper discusses how to learn theories that are modal, concentrating on the issue of how modal hypotheses are formed. Illustrations are given to show the usefulness of the ideas for agent applications.",

author = "Lloyd, {John W.} and Ng, {Kee Siong}",

year = "2007",

doi = "10.1007/978-3-540-73847-3_31",

language = "English",

isbn = "9783540738466",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "320--334",

booktitle = "Inductive Logic Programming - 16th International Conference, ILP 2006, Revised Selected Papers",

address = "Germany",

note = "16th International Conference of Inductive Logic Programming, ILP 2006 ; Conference date: 24-08-2006 Through 27-08-2006",

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Lloyd, JW & Ng, KS 2007, Learning modal theories. in Inductive Logic Programming - 16th International Conference, ILP 2006, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4455 LNAI, Springer Verlag, pp. 320-334, 16th International Conference of Inductive Logic Programming, ILP 2006, Santiago de Compostela, Spain, 24/08/06. https://doi.org/10.1007/978-3-540-73847-3_31

Learning modal theories. / Lloyd, John W.; Ng, Kee Siong.
Inductive Logic Programming - 16th International Conference, ILP 2006, Revised Selected Papers. Springer Verlag, 2007. p. 320-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4455 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ng, Kee Siong

PY - 2007

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AB - This paper discusses how to learn theories that are modal, concentrating on the issue of how modal hypotheses are formed. Illustrations are given to show the usefulness of the ideas for agent applications.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 320

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BT - Inductive Logic Programming - 16th International Conference, ILP 2006, Revised Selected Papers

PB - Springer Verlag

T2 - 16th International Conference of Inductive Logic Programming, ILP 2006

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ER -

Learning modal theories

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