Aim & Scope

Aim

Artificial Intelligence and Intelligent Systems Research provides a peer-reviewed venue for artificial intelligence and intelligent systems. The journal is intended for AI researchers, system designers, applied computer scientists, and domain teams building intelligent services. Its editorial goal is to publish articles that make the research question, method, evidence, and limitations visible enough for readers to evaluate and reuse.

Core Scope

The journal considers manuscripts in the following areas:

  • Original studies in learning systems with transparent assumptions and evaluable evidence.
  • Research on knowledge-based AI that explains methods, data, and interpretation limits.
  • Applied work involving decision support where practical relevance is supported by analysis rather than assertion.
  • Interdisciplinary work connecting trustworthy automation to adjacent scientific, engineering, health, environmental, social, or policy questions.

Article Types Considered

The journal may consider research articles, system papers, benchmark reports, software notes, short communications, and registered replication studies. Article type should be selected according to the main contribution, not according to desired length or perceived prestige.

Method and Evidence Expectations

For this field, manuscripts should pay particular attention to:

  • model architecture or algorithm description
  • training and evaluation data provenance
  • baseline comparisons
  • ablation or sensitivity analysis
  • error analysis and limits of deployment

Out of Scope

The journal does not consider manuscripts that are purely promotional, lack a research question, duplicate previously published work, make unsupported clinical or policy claims, present unverifiable results, or fall outside artificial intelligence and intelligent systems. Manuscripts that are technically sound but do not fit the journal's subject identity may be returned before peer review.

Editorial Standard

The journal does not require spectacular novelty. It requires a clear contribution, appropriate citations, transparent methods, relevant ethical approvals where needed, and a limitations section. Reviewers and editors should ask whether the work is trustworthy and useful for its intended readership.