Symposium
Welcome to ACAIN 2023, the International Symposium on Artificial Intelligence and Neuroscience. It will take place in The Wordsworth Hotel & SPA in Grasmere – Lake District, England - UK.
The ACAIN 2023 is aimed at AI researchers, neuroscientists, cognitive scientists, computational neuroscientists, deep learning/machine learning researchers. ACAIN 2023 will be a special opportunity to hear about cutting-edge research by leading scientists in AI and Neuroscience.
The two days of keynote talks and oral presentations (the Symposium, September 25-26) will be preceded by lectures of leading scientists (the Course, September 22-24).
We invite the submission of technical papers for the main technical track of the conference. Submissions should be significant and original on all aspects of Artificial Intelligence and Neuroscience. We especially encourage papers on interdisciplinary applications of AI, Neuroscience, Cognitive Science, Deep Learning and Computational Neuroscience.
The International Symposium Post-Proceedings will be published by Nature–Springer. Papers will appear in a volume of the Lecture Notes in Computer Science.
Topics of Interest include, but are not limited to:
- Artificial Intelligence
- Neuroscience
- Brain-Behavior Interactions
- Cognition & Artificial Intelligence
- Cognitive Computing
- Cognitive Science
- Cognitive Neuroscience
- Computational Cognitive Science
- Computational Modeling of the Nervous System
- Computational Neuroscience
- Creativity & Artificial Intelligence
- Deep Learning
- Epistemic Planning
- Ethics for Autonomous Systems
- Explainable Artificial Intelligence
- General Reinforcement Learning Algorithms
- Generative Adversarial Networks
- Human-Robot Interaction
- Machine Learning
- Neural data Analysis Methods
- Probabilistic Generative Models
- Probabilistic Programming
- Reinforcement Learning
- Robotics
- Symbolic AI & Deep Learning
- Theory of Deep Learning
- Human-Level Artificial Intelligence
- Cognitive Robotics
Types of Submissions
When submitting a paper to ACAIN 2023, authors are required to select one of the following three types of papers:
- long paper: original novel and unpublished work (min 12 pages, max. 15 pages, including References, in Springer LNCS format or any format or layout that can be used by reviewers to evaluate your manuscript);
- short paper: an extended abstract of novel work (min 6 pages, max. 11 pages, including References, in Springer LNCS format or any format or layout that can be used by reviewers to evaluate your manuscript);
- work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference.
Springer’s proceedings LaTeX templates are available in Overleaf.
We expect high-quality papers in terms of their scientific contribution, rigor, correctness, quality of presentation and reproducibility of experiments.
Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.
Authors should consult Springer’s Instructions for Authors of Proceedings and use either the LaTeX or the Word templates provided on the authors’ page for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a License-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
If any of the authors contributing to ACAIN 2023 are interested in Open Access or Open Choice, please refer to our webpage for prices and additional information. Springer teams would need the invoicing address and the CC-BY licence-to-publish agreement at the same time as the files for the publication
