Information Management and Decision-Making

Dear Colleagues,

Individuals increasingly ask AI for advice on making difficult decisions. Decision analysis and decision sciences develop methods to help an individual make decisions under conditions of uncertainty in a manner consistent with that person’s fundamental objectives. The techniques of decision analysis were originally developed and refined by consultants who worked closely with their clients to elicit their beliefs and fundamental values.

This Issue focuses on how to incorporate the knowledge from the decision sciences into artificially intelligent software. Some decision analytic methods, e.g., collecting data on risks similar to the risks faced by the decision maker, can already be performed by AI. It may be more challenging to incorporate other methods, e.g., reading body language and facial. As a result, innovations in both decision analysis and AI may be needed. This Issue welcomes papers that contributing on these and related issues, providing a forum to bridge AI and the decision sciences.

Topics of interest include, but are not limited to, the following areas:

• AI-driven methods for preference elicitation and utility modeling;
• Decision-theoretic reasoning under uncertainty in AI architectures;
• Probabilistic reasoning and scenario planning for high-stakes decision support;
• Human–AI collaborative decision processes: interactive inference and iterative refinement;
• AI systems implementing decision-analytic techniques in domains such as healthcare, finance, engineering, or public policy;
• Multimodal cue integration in AI-assisted decisions;
• Hybrid architectures combining machine learning and normative decision models;
• Evaluations of AI-involved decision outcomes in uncertain or safety-critical settings;
• Sequential decision-making and dynamic decision processes in AI systems;
• Calibration and validation of AI-based decision support under model uncertainty.

Prof. Dr. Robert F. Bordley
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.