[PlanetKR] 2nd Call for Papers: Special Issue on Foundations, Applications, and Theory of Inductive Logic
matthias.thimm at fernuni-hagen.de
Mon Jan 16 07:48:39 UTC 2023
[Apologies if you receive multiple copies. Please forward this call to interested parties.]
Call for Papers:
Special Issue on Foundations, Applications, and Theory of Inductive Logic
Journal of Applied Logics
Guest editors: Martin Adamčík, Matthias Thimm
Inductive reasoning is one of the most important reasoning techniques for humans and formalises the intuitive notion of “reasoning from experience”. It has thus influenced both theoretical work on the formalisation of rational models of thought in Philosophy as well as practical applications in the areas of Artificial Intelligence and, in particular, Machine Learning.
This special issue is a follow-up to the First International Conference on Foundations, Applications, and Theory of Inductive Logic (FATIL2022) that took place on October 12-14, 2022, in Munich Germany. It aims at bringing together experts from all fields concerned with inductive reasoning. This includes in particular the following aspects:
- Foundations of many of our best theories crucially depend on inductive logic and more widely induction. Uncertainty is ubiquitous in our lives and the philosophical problem arises to make sense of probabilities and to act sensibly in the face of uncertainties. General philosophy of science is much interested in (the reconstruction of) rational inference in general and in science, in particular, in cases with inconclusive evidence.
- Theory of inductive inference can be developed within several traditions such as pure inductive logic or inductive logic based on the maximum entropy principle.
- Applications have sprung from foundational thinking on induction in computer and data science. This includes aspects such as knowledge representation in multi-agent settings and machine learning approaches (such as inductive logic programming).
The special issue “Foundations, Applications, and Theory of Inductive Logic” welcomes contributions in all areas dealing with inductive reasoning. We specifically welcome extended versions of works presented at FATIL2022, but the call is open for further works as well. Topics of interest include, but are not limited to:
- Foundational works about inductive reasoning, inductive logic, and induction, in particular critical examinations of existing principles.
- Computational approaches to inductive reasoning, in particular non-monotonic and other non-classical logics.
- Computational approaches to reasoning under uncertainty.
- Machine learning approaches taking inductive reasoning into account such as inductive logic programming.
The special issue will be published through the Journal of Applied Logics (https://www.collegepublications.co.uk/ifcolog/). This journal is
open access, available in both printed and electronic formats, and is published by College Publications. We welcome technical contributions of any form addressing the above topics of interest. Submissions must be in English, but there is no page limit on papers nor any limit on the number of papers in the issue. Please use the stylesheet available from https://fatil2022.krportal.org/si/myifcolog.clsand consider the general author information available from https://fatil2022.krportal.org/si/GuideForAuthors.pdf.
If you intend to submit a paper for this special issue, please declare your interest by sending
a mail to the guest editors:
- Martin Adamčík (maths38 at gmail.com <mailto:maths38 at gmail.com>)
- Matthias Thimm (matthias.thimm at fernuni-hagen.de <mailto:matthias.thimm at fernuni-hagen.de>).
The schedule for the special issue is as follows
- April 30, 2023: submission of papers
- End of 2023: publication of the special issue
Submissions of papers are handled by Jane Spurr. Please submit your paper via e-mail
to “jane at janespurr.net <mailto:jane at janespurr.net>” no later than April 30, 2023. Use “Submission to Special Issue on
Foundations, Applications, and Theory of Inductive Logic, JAL” as the subject line for the submission.
Prof. Dr. Matthias Thimm
Artificial Intelligence Group
University of Hagen, Germany
https://www.fernuni-hagen.de/aig - http://www.mthimm.de
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