Uncertainty in Intelligent Systems

The International Journal of Approximate Reasoning is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest.

Relevant topics include, but are not limited to, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), possibility theory, fuzzy sets, rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, game-theoretic probability, default reasoning, nonstandard logics, argumentation systems, inconsistency tolerant reasoning, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning.

Domains of application for uncertain reasoning systems include risk analysis and assessment, information retrieval and database design, information fusion, machine learning, data and web mining, computer vision, image and signal processing, intelligent data analysis, statistics, multi-agent systems, etc.

The journal is affiliated with the Society for Imprecise Probability: Theories and Applications (SIPTA), and Beliefs functions and Applications Society (BFAS).

Special Issue on Logics for the new AI spring 2
Submission Date: 2025-03-03

The development of logics capable to perform human-like reasoning is one of the central objectives around which the logical community of Artificial Intelligence (AI) moved its first steps. Besides being a fundamental tool of knowledge representation and reasoning, logical tools are expected to play a key role in the future of AI especially owing to their ability to integrate symbolic and sub-symbolic AI.

The scope of the special issue includes, but is not limited to the following topics
- Logical methods in symbolic AI
- Logical methods in machine learning
- Machine learning in a logical setting
- Reasoning and (interactive) decision making under uncertainty
The proposed Special Issue would be the second edition of the IJAR special issue “Logics for the new AI Spring”.

Guest editors:
Dr. Tommaso Flaminio (Executive Guest Editor)IIIA-CSIC, Barcelona, SpainEmail: tommaso@iiia.csic.es
Prof. Hykel HosniLUCI, Milano, ItalyEmail: hykel.hosni@unimi.it

Manuscript submission information:

Tentative Schedule:

Submission Open Date: September 9, 2024
Final Submission Deadline: March 3, 2025
Notification of Acceptance: January 31, 2026