(New) CFP Special Issue of Annals of Mathematics and Artificial Intelligence (AMAI) on Uncertainty and Reasoning in AI

Uncertainty is a central phenomenon that touches all subfields of artificial intelligence. As many have observed, dealing with uncertainty remains one of the central challenges and limits the capabilities of AI approaches. For instance, many problems in AI (in reasoning, planning, learning, perception, and robotics) require the agent to operate with incomplete or uncertain information.

This special issue of the Annals of Mathematics and Artificial Intelligence (AMAI) focuses on all aspects of uncertainty that concern reasoning and is devoted to the Uncertain Reasoning Special Track in 2023 and in 2024, which was located at the respective International Florida Artificial Intelligence Research Society Conference (FLAIRS).

Submissions should be prepared following the guidelines of AMAI. The submissions themselves are made via the submission page provided at https://submission.springernature.com/new-submission/10472/3. When submitting, please select "S806: Uncertainty and Reasoning in AI" in the submission system to ensure that the submission is connected with the special issue.