Search Results - Abductive–Inductive Logic Programming

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  1. 1

    Incremental learning of event definitions with Inductive Logic Programming by Katzouris, Nikos, Artikis, Alexander, Paliouras, Georgios

    ISSN: 0885-6125, 1573-0565
    Published: New York Springer US 01.09.2015
    Published in Machine learning (01.09.2015)
    “… Using a logical framework for representing and reasoning about events offers direct connections to machine learning, via Inductive Logic Programming (ILP…”
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    Journal Article
  2. 2

    Nonmonotonic abductive inductive learning by Ray, Oliver

    ISSN: 1570-8683, 1570-8691
    Published: Elsevier B.V 01.09.2009
    Published in Journal of applied logic (01.09.2009)
    “…Inductive Logic Programming (ILP) is concerned with the task of generalising sets of positive and negative examples with respect to background knowledge expressed as logic programs…”
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    Journal Article
  3. 3

    Learning probabilistic logic models from probabilistic examples by Chen, Jianzhong, Muggleton, Stephen, Santos, José

    ISSN: 0885-6125, 1573-0565
    Published: Boston Springer US 01.10.2008
    Published in Machine learning (01.10.2008)
    “…We revisit an application developed originally using abductive Inductive Logic Programming (ILP…”
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    Journal Article
  4. 4

    Nonmonotonic inductive logic programming as abductive search by Corapi, Domenico

    Published: ProQuest Dissertations & Theses 01.01.2012
    “…Inductive Logic Programming (ILP) is a machine learning technique that relies on logic programs as a representation language…”
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    Dissertation
  5. 5

    Online learning of event definitions by KATZOURIS, NIKOS, ARTIKIS, ALEXANDER, PALIOURAS, GEORGIOS

    ISSN: 1471-0684, 1475-3081
    Published: Cambridge, UK Cambridge University Press 01.09.2016
    Published in Theory and practice of logic programming (01.09.2016)
    “… Moreover, we use abductive-inductive logic programming techniques to handle unobserved target predicates…”
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    Journal Article
  6. 6

    Using abduction and induction for operational requirements elaboration by Alrajeh, D., Ray, O., Russo, A., Uchitel, S.

    ISSN: 1570-8683, 1570-8691
    Published: Elsevier B.V 01.09.2009
    Published in Journal of applied logic (01.09.2009)
    “… This paper presents an Inductive Logic Programming method for inferring operational requirements from a set of example scenarios and an initial but incomplete requirements specification…”
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    Journal Article
  7. 7

    Online Learning of Event Definitions by Katzouris, Nikos, Artikis, Alexander, Paliouras, Georgios

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 30.07.2016
    Published in arXiv.org (30.07.2016)
    “… Moreover, we use abductive-inductive logic programming techniques to handle unobserved target predicates…”
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    Paper
  8. 8

    Logical modeling of biological systems by Inoue, Katsumi, Fariñas del Cerro, Luis

    ISBN: 9781119015338, 9781848216808, 1848216807, 1119015332
    Published: London Wiley 2014
    “…Systems Biology is the systematic study of the interactions between the components of a biological system and studies how these interactions give rise to the…”
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    eBook Book
  9. 9

    Introduction to the 30th International Conference on Logic Programming Special Issue by LEUSCHEL, MICHAEL, SCHRIJVERS, TOM

    ISSN: 1471-0684, 1475-3081
    Published: Cambridge, UK Cambridge University Press 01.07.2014
    Published in Theory and practice of logic programming (01.07.2014)
    “…The 30th edition of the International Conference of Logic Programming took place in Vienna in July 2014 at the Vienna Summer of Logic - the largest scientific conference in the history of logic…”
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    Journal Article
  10. 10

    Introduction to the 27th International Conference on Logic Programming Special Issue by GALLAGHER, JOHN, GELFOND, MICHAEL

    ISSN: 1471-0684, 1475-3081
    Published: Cambridge, UK Cambridge University Press 01.07.2011
    Published in Theory and practice of logic programming (01.07.2011)
    “…Following the initiative in 2010 taken by the Association for Logic Programming and Cambridge University Press, the full papers accepted for the International Conference on Logic Programming again…”
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    Journal Article
  11. 11

    Integrating induction and abduction in logic programming by Lamma, Evelina, Mello, Paola, Milano, Michela, Riguzzi, Fabrizio

    ISSN: 0020-0255, 1872-6291
    Published: Elsevier Inc 01.05.1999
    Published in Information sciences (01.05.1999)
    “… We define an Abductive Learning Problem as an extended Inductive Logic Programming problem where both the background and target theories are abductive theories and where abductive derivability…”
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    Journal Article
  12. 12

    LPC(ID): A Sequent Calculus Proof System for Propositional Logic Extended with Inductive Definitions by Hou, Ping, Wittocx, Johan, Denecker, Marc

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 11.07.2012
    Published in arXiv.org (11.07.2012)
    “…The logic FO(ID) uses ideas from the field of logic programming to extend first order logic with non-monotone inductive definitions…”
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    Paper
  13. 13

    Logics and Multi-agents: towards a new symbolic model of cognition by Torroni, Paolo

    ISSN: 1571-0661, 1571-0661
    Published: Elsevier B.V 01.10.2002
    “…The last edition of CLIMA, held in 2001 in Paphos (Cyprus) ended with a panel session on the role of Computational Logic (CL…”
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    Journal Article
  14. 14

    An introduction to inductive programming by Flener, Pierre, Schmid, Ute

    ISSN: 0269-2821, 1573-7462, 1573-7462
    Published: Dordrecht Springer Netherlands 01.03.2008
    Published in The Artificial intelligence review (01.03.2008)
    “…: dialogs learns logic programs by combining inductive and abductive reasoning; the classical thesys system and its extension igor 1 learn functional programs based on a recurrence detection mechanism in traces…”
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    Journal Article
  15. 15

    Incremental Learning of Event Definitions with Inductive Logic Programming by Katzouris, Nikos, Artikis, Alexander, Paliouras, George

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 22.11.2014
    Published in arXiv.org (22.11.2014)
    “… The manual development of such knowledge is a tedious and error-prone task, thus event-based applications may benefit from automated knowledge construction techniques, such as Inductive Logic Programming (ILP…”
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    Paper
  16. 16

    Learning revised models for planning in adaptive systems by Sykes, Daniel, Corapi, Domenico, Magee, Jeff, Kramer, Jeff, Russo, Alessandra, Inoue, Katsumi

    ISBN: 9781467330732, 1467330736
    ISSN: 0270-5257
    Published: IEEE 01.05.2013
    “…Environment domain models are a key part of the information used by adaptive systems to determine their behaviour. These models can be incomplete or…”
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    Conference Proceeding
  17. 17

    Human Comprehensible Active Learning of Genome-Scale Metabolic Networks by Lun Ai, Shi-Shun, Liang, Wang-Zhou, Dai, Hallett, Liam, Muggleton, Stephen H, Baldwin, Geoff S

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 31.08.2023
    Published in arXiv.org (31.08.2023)
    “…) cycle of the host cell system. We introduce a novel machine learning framework ILP-iML1515 based on Inductive Logic Programming (ILP…”
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    Paper
  18. 18

    AI and Law (2) by Nitta, Hajime Yoshinoand Katsumi

    ISSN: 1343-0130, 1883-8014
    Published: 20.02.1998
    “… Those papers were mainly related to higher order reasoning systems such as ase-based reasoning, abductive and inductive logic programming, nonmonotonic reasoning, and analogical reasoning…”
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    Journal Article
  19. 19

    Learning revised models for planning in adaptive systems by Sykes, Daniel, Corapi, Domenico, Magee, Jeff, Kramer, Jeff, Russo, Alessandra, Inoue, Katsumi

    ISBN: 1467330760, 9781467330763
    Published: Piscataway, NJ, USA IEEE Press 18.05.2013
    “…Environment domain models are a key part of the information used by adaptive systems to determine their behaviour. These models can be incomplete or…”
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    Conference Proceeding
  20. 20

    Mining first-order knowledge bases for association rules by Jamil, H.M.

    ISBN: 0769514170, 9780769514178
    Published: IEEE 2001
    “… Other than inductive and abductive logic programming, research into data mining from knowledge bases has been almost non-existent, because contemporary methods involve inherent procedurality…”
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    Conference Proceeding