The Knowledge Engineering Review

From 20th November 2023, The Knowledge Engineering Review will be moving to a Gold Open Access publishing model. All accepted articles from this date will be published with a Creative Commons licence and will be subject to an Article Processing Charge (see the journal’s Open Access Options page for available licence options). Many corresponding authors will have their APC covered by a transformative agreement; check here to see if your institution is covered. Any author without funding or not covered by a transformative agreement can apply for a waiver.

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ISSN: 0269-8889 (Print), 1469-8005 (Online)
Editors: Professor Peter McBurney King’s College, London, UK, Professor Simon Parsons University of Lincoln, UK, and Dr Patrick Mannion National University of Ireland Galway, University Road, Galway, Ireland
Editorial board

Knowledge Engineering Review is committed to the development of the field of artificial intelligence and the clarification and dissemination of its methods and concepts. KER publishes: reports of new research in symbolic AI, knowledge-based systems, knowledge engineering, and related areas; analytic surveys providing critical reviews and novel frameworks of topics in these areas, including application domains and related disciplines; technical tutorials and detailed introductions to a relevant area; book reviews; abstracts of recent PhDs in artificial intelligence; application and country surveys, commentaries and debates; and summaries of AI-related research projects.

Evolutionary Machine Learning

23 Nov 2020,
This special issue targets high-quality original research papers covering all aspects of evolutionary machine learning. A non-exhaustive list of the topics of interest is outlined below. The submission of manuscripts that are extended versions of work previously published at a conference or workshop are also welcome, on the condition that there is a significant amount of new material in the submission (i.e. the submission should contain a minimum of 50% new material).