The development of logics capable to perform human-like reasoning is one of the central objectives around which the logical community of Artificial Intelligence moved its first steps. Besides being a fundamental tool of knowledge representation and reasoning, logical tools are expected to play a key role in the future of AI especially owing to their ability to integrate symbolic and sub-symbolic AI. The scope of the special issue includes, but is not limited to the following topics:
(1) Logical methods in symbolic AI;
(2) Logical methods in machine learning;
(3) Machine learning in a logical setting;
(4) Reasoning and (interactive) decision making under uncertainty.
Guest editors:
Dr. Tommaso Flaminio (Managing Guest Editor)
Instituto de Investigación en Inteligencia Artificial (IIIA - CSIC)
Email: tommaso@iiia.csic.es
Prof. Hykel Hosni
Dipartimento di Filosofia, Università degli Studi di Milano
Email: hykel.hosni@unimi.it
Manuscript submission information:
Submission Guidelines:
Authors should prepare their manuscripts according to the "Instructions for Authors" guidelines of the International Journal of Approximate Reasoning outlined at the journal website: https://www.elsevier.com/journals/international-journal-of-approximate-reasoning/0888-613X/guide-for-authors. Submissions are expected to be written in LaTeX. All papers will be peer-reviewed following a regular reviewing procedure.
All manuscripts should be submitted electronically through Editorial Manager ® at https://www.editorialmanager.com/ija/default1.aspx. When submitting papers, please select Article Type as "VSI:Logics for AI spring".
Important Dates:
Keywords:
Logic for AI; Machine Learning, Knowledge Representation; Symbolic AI; Hybrid systems.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues