Call for Articles in Elsevier’s new “AI Encyclopedia”
Re: Article invitation for the “Elsevier AI Encyclopedia”
(to be published by Elsevier in 2027)
[*Deadline extended, more articles are welcome*]
Elsevier has agreed to publish a multi-volume “Encyclopedia of
Artificial Intelligence: Foundations, Innovations and Future
Directions” in 2027.
I have been appointed as a Section/Volume Editor for Elsevier’s new
“Encyclopedia of Artificial Intelligence: Foundations, Innovations
and Future Directions” (namely, “AI Encyclopedia” for short).
I am looking after articles in the following four main topic areas (see below).
Scholars and researchers are most welcome to contribute an article in the following four areas:
1. Introduction to Artificial Intelligence
* Definition and Scope of IA
* History overview, AI ethics, social impact
* Theoretical Foundations, cognitive computing
* AI and evolution of AI technologies
* AI Paradigms and approaches, AI and human interactions
2. AI Foundations and Core Technologies
* Machine learning algorithms
* Deep learning and adaptive learning algorithms
* Computer vision and natural language processing
* Reinforcement learning, evolutionary algorithms
* Symbolic AI and knowledge representation
* Objective-driven AI and data-driven AI
* AI architecture, probabilistic reasoning models
* Meta-learning, self-supervised learning
* AI and artificial general intelligence (AGI)
3. AI-Driven Innovations & Future Technology Pathways
* Next-generation AI hardware
* Edge AI, decentralized intelligence, quantum AI
* Neuromorphic computing, federated learning and secure AI
* AI in synthetic biology, genomics, autonomous systems
* Quantum computing’s role in IA evolution, quantum-enhance cybersecurity
* AI in nanotechnology, material science, nano-manufacturing
* AI for green, sustainability, energy-optimized computing
* AI applications in extreme environments
4. Advanced Theoretical Concepts (related to AI).
* Theoretical foundations of AI, reinforcement learning, etc
* Meta-learning and self-supervised learning
* Probabilistic reasoning models, evolutionary computation in AI
* Symbolic AI, knowledge representation, neuro-symbolic AI integration
* AI in quantum computing paradigm, AI generation
* Swarm AI, multi-agent AI systems
* AI inference and causal inference AI, explainable AI
The AI Encyclopedia will be published in multi-volumes by Elsevier,
which will serve as a major reference for university courses
and AI communities. This is a golden opportunity that your
research and contribution can influence the future AI research.
This AI Encyclopedia will be edited by a team of leading
experts, led by Prof. Maki Habib, with many experts from
different regions in the world.
Articles for AI Encyclopedia should provide enough details
about the topics of your choice, with background information
and references so that undergraduates and graduates should be
able to understand most of the contents. Detailed guidelines
will be provided by the Publisher in due course.
Scholars and researchers in AI and AI technology as well as related
research areas are invited to contribute an article of your choice.
*Key dates*:
25 April 2026 Expression of tnterest (with the tentative article title)
31 May 2026 Writing Guidelines to Authors
15 Sept 2026 Full article submission
If you are interested in contributing an article, please contact me directly
at x.yang@mdx.ac.uk, and provide a tentative title of your article and its abstract
(preferably) by 25 April 2026.
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Dr Xin-She Yang, DPhil (Oxon), IMA Fellow (UK), ACIS Fellow
Fellow of the Institute of Mathematics and its Applications (IMA)
Fellow of Asian Computational Intelligence Society (ACIS)
School of Science and Technology
Middlesex University London
The Burroughs, London NW4 4BT, United Kingdom
https://scholar.google.co.uk/citations?user=fA6aTlAAAAAJ
https://www.researchgate.net/profile/Xin-She-Yang
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