AISB Quarterly Submissions and Suggestions

There are several ways that you can contribute to the Quarterly:

  • If there are features or columns that you'd like to see, but that don't fit the existing format, please let the Editor know what you have in mind.
  • If you are aware of particular projects that should be covered, or particular people who would write good articles, please let the Editor know. (We just need a name and affiliation/e-mail address or URL).
  • If you would like to write an article about your own work, please get in touch. If your proposal is accepted, you will be asked to submit according to the deadlines and submissions guidelines below
  • If you would like to write a book review, or plan to submit a conference report, please get in touch.



The AISBQ is issued in the first week of the quarter (January, April, July, October). Whatever you would like to contribute, the list below explains roughly when we need your input for a particular edition.

For the exact dates, please contact the Editor.

Author/project suggestions

Deadline: 12 weeks from issue.

Article submission deadline

Deadline: 7 weeks in from issue.


Submission Style / LaTeX

Submission should be made using the tailored LaTeX template.

If you'd like to submit your work in other formats, please get in touch with the editor.

Submission Length

  • Announcements: up to 2 pages
  • Short pieces: up to 4 pages
  • Longer pieces: up to 10 pages

Please note that limits apply 'normally' and we have the scope to accept longer articles as an exception, for which please contact the editor of the Q.


Suggested Structure

Your article should be aimed at people within Artificial Intelligence and Simulation of Behaviour but who are not  in your particular discipline. Bear in mind that this includes a very disparate collection of people: some will have computer science backgrounds, some electrical and electronic engineering, others cognitive science, psychology or medicine. The article should:

  • Explain the application and context of your work in the wider sense
  • Focus on it's position within your general discipline
  • Explain the actual project in general terms
  • Describe the results and conclude