Advances in Intelligent Decision-Making Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 May 2026
Special Issue Editors
Interests: computer decision-making; multi-agent; swarm intelligence; computer games
Interests: computer game; multi-agent RL; multimedia information processing
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; computational intelligence; machine learning; genetic/evolutionary algorithms; decision support theory; intelligent information systems; multi-objective optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent years have seen accelerated progress in artificial intelligence. Within this field, computational games occupy a pivotal position as foundational testbeds for AI development. Imperfect-information games are particularly critical, as their inherent hidden information effectively models real-world complexity, presenting greater challenges and research value. Insights derived from these studies directly facilitate the advancement of intelligent systems for domains such as smart transportation, financial risk control, and autonomous driving.
A core research focus centers on intelligent decision-making under uncertainty. This necessitates key capabilities: perceiving ambiguous or incomplete information within dynamic environments, accurately modeling opponents and context despite partial observability, and enabling efficient, robust decision policies. Progress fundamentally depends on developing novel methods for uncertainty quantification, opponent intention prediction, and real-time adaptation strategies—essential for deploying reliable AI in stochastic settings.
Exemplified by autonomous driving, systems must perceive complex scenarios, infer hidden agent intentions, and execute safe real-time maneuvers under uncertainty. Research breakthroughs in addressing such uncertainty within imperfect-information games yield transferable frameworks applicable across intelligent decision-making systems. These advances drive innovation in domains where adaptive strategies under partial information are imperative.
Dr. Jiajia Zhang
Prof. Dr. Shuhan Qi
Prof. Dr. Grigorios Beligiannis
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.
Keywords
- artificial intelligence
- decision-making
- imperfect-information games
- opponent modeling
- real-time adaptation strategies
- machine learning
- reinforcement learning
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