Artificial Intelligence & Cognitive Studies: Interdisciplinary Perspectives

Exploring the Intersection of Artificial Intelligence and Human Thought

Artificial Intelligence & Cognitive Studies: Interdisciplinary Perspectives is an open-access, peer-reviewed journal dedicated to probing the complex relationships between artificial intelligence and the diverse sciences of cognition. We strive to provide a space for discussion, experimentation, and rigorous scholarship in an era where both AI and cognitive sciences are rapidly redefining our understanding of reasoning, perception, and decision-making. We are aware of the evolving nature of these fields and we embrace honest inquiry as our guiding principle.

Our Mission

We aim to foster dialogue and collaboration across disciplines. By bringing together computer scientists, psychologists, neuroscientists, linguists, and others, we hope to inspire innovative approaches to the study of intelligence both machine and human. We know the most important questions rarely have easy answers. Our mission is to create a journal where both successes and open challenges are discussed openly and constructively.

Types of Papers Accepted

We welcome a broad range of scholarly contributions, including:

• Empirical Papers: Original studies reporting on data-driven discoveries, including but not limited to behavioural data, human-computer interaction experiments, or AI system evaluation.

• Experimental Papers: Rigorous investigations employing experimental paradigms, either with human or artificial agents, clearly describing methodology, protocols, and results.

• Conceptual Papers (with Literature Review): Thorough analyses that clarify theoretical concepts, bridge existing gaps, and synthesize key findings from the literature.

• Position Papers: Well-argued perspectives that propose new directions, pose open questions, or critically assess current trends in the intersection of AI and cognitive studies.

Areas of Interest

• Cognitive architectures and AI system design

• Human-AI alignment and interpretability

• Mechanisms of reasoning, learning, and perception across systems

• Language, communication, and meaning in humans and machines

• Cognitive neuroscience approaches to machine intelligence

• Simulation, modeling, and virtual agents

• Societal, ethical, and philosophical implications of cognitive AI

• Critical and historical perspectives

Our Approach

We encourage authors to discuss limitations. Submissions that document surprising outcomes, negative results, or lessons learned from challenging applications are especially valued. Our review process upholds transparency, methodological rigor, and constructive feedback.

Open Access and Transparency

All content in Artificial Intelligence & Cognitive Studies: Interdisciplinary Perspectives is fully open access. We promote reproducibility by encouraging sharing of data, code, and protocols. Every article, regardless of type, is evaluated on the quality of evidence, clarity of communication, and its potential to advance interdisciplinary dialogue.

Join the Conversation

Interested in the future of AI and cognitive studies?
 We welcome diverse voices and are especially interested in work that challenges our field to grow, adapt, and reconsider old assumptions.

• Submit a manuscript

• Browse currently published articles

• Participate in open discussions

• Volunteer as a reviewer

Help us build a journal that values both humility and ambition; that is open to critique and committed to transparency; and that ultimately seeks deeper understanding, one step and one study at a time.