Seminar Logic-Based Knowledge Representation (SS2025): Unterschied zwischen den Versionen

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# Inductive Learning of Answer Set Programs for Autonomous Surgical Task Planning - Application to a Training Task for Surgeons http://lr2020.iit.demokritos.gr/online/meli.pdf
# Inductive Learning of Answer Set Programs for Autonomous Surgical Task Planning - Application to a Training Task for Surgeons http://lr2020.iit.demokritos.gr/online/meli.pdf
# Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP https://link.springer.com/article/10.1007/s10994-018-5707-3
# Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP https://link.springer.com/article/10.1007/s10994-018-5707-3
===already chosen topics===
1. Inductive Learning of Answer Set Programs https://www.doc.ic.ac.uk/~ml1909/ILASP_Paper.pdf
5.  The Game of Bridge: A Challenge for ILP https://link.springer.com/chapter/10.1007/978-3-319-99960-9_5


===Examination===
===Examination===

Version vom 14. April 2025, 17:12 Uhr

Seminar Logic-Based Knowledge Representation

Lehrveranstaltung mit SWS 0/2/0 (Vorlesung/Übung/Praktikum) in SS 2025

Dozent

Umfang (SWS)

  • 0/2/0

Module

Leistungskontrolle

  • Hausarbeit
  • Referat
  • nach Modulbeschreibung


Course Description

This seminar intends to introduce to selected topics of an active research areas in the field of knowledge representation by analyzing introductory literature as well as research papers. In particular, we will focus on the topic Inductive Logic Programming.

Prerequisites

Students are expected to be familiar with logic programming.

Seminar Plan

The seminar will take place on Mondays 16:40 – 18:10 in room APB E005, on the dates indicated in the schedule. The topics will be selected in the first session on April 14.

  1. Inductive Learning of Answer Set Programs https://www.doc.ic.ac.uk/~ml1909/ILASP_Paper.pdf
  2. Learning efficient logic programs https://link.springer.com/article/10.1007/s10994-018-5712-6
  3. Learning higher-order logic programs https://link.springer.com/article/10.1007/s10994-019-05862-7
  4. Learning Large Logic Programs By Going Beyond Entailment https://www.ijcai.org/proceedings/2020/0287.pdf
  5. The Game of Bridge: A Challenge for ILP https://link.springer.com/chapter/10.1007/978-3-319-99960-9_5
  6. Learning Strategies of Inductive Logic Programming Using Reinforcement Learning https://link.springer.com/chapter/10.1007/978-3-031-49299-0_4
  7. What Do Counterfactuals Say About the World? Reconstructing Probabilistic Logic Programs from Answers to “What If?” Queries https://link.springer.com/chapter/10.1007/978-3-031-49299-0_7
  8. Lifting Symmetry Breaking Constraints with Inductive Logic Programming http://lr2020.iit.demokritos.gr/online/Tarzariol_Alice_Journal.pdf
  9. Inductive Learning of Answer Set Programs for Autonomous Surgical Task Planning - Application to a Training Task for Surgeons http://lr2020.iit.demokritos.gr/online/meli.pdf
  10. Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP https://link.springer.com/article/10.1007/s10994-018-5707-3

already chosen topics

1. Inductive Learning of Answer Set Programs https://www.doc.ic.ac.uk/~ml1909/ILASP_Paper.pdf

5. The Game of Bridge: A Challenge for ILP https://link.springer.com/chapter/10.1007/978-3-319-99960-9_5

Examination

Students are expected to (1) give a talk on one of the topics listed above and (2) to write a term paper and (3) participate in the peer-reviewing process of the term papers from this seminar. The exact requirements for the talks and term papers will be discussed in the seminar.
Inductive Logic Programming At 30: A New Introduction, Andrew Cropper and Sebastijan Dumančić https://www.jair.org/index.php/jair/article/view/13507

Veranstaltungskalender abonnieren (icalendar)

Seminar Introduction - Topic selection DS6, 14. April 2025 in APB E005


Kalender