New Challenges in Intelligent Agent Systems

Dear Colleagues,

The field of intelligent agent systems has emerged as a relevant area of modern artificial intelligence, offering transformative solutions across a wide array of domains. Intelligent agents, defined as autonomous entities capable of observing, reasoning, and acting upon their environment to achieve specific goals, are revolutionizing how we approach complex problems in a wide range of domains such as education, transportation, security, healthcare, finance, and environmental sustainability.

In education, intelligent agents are enhancing learning through tailored training and tutoring systems. In transportation and logistics, intelligent systems are improving traffic management and supply chain efficiency. Security applications include advanced cybersecurity measures, intrusion detection, and surveillance systems, ensuring both digital and physical safety.

Healthcare benefits from intelligent diagnostic systems and patient monitoring, leading to better health outcomes. In finance, intelligent agents optimize automated trading, financial forecasting, and fraud detection, increasing operational efficiency and risk management. Environmental sustainability efforts are being supported by intelligent systems for disaster response, achieving the United Nations’ Sustainable Development Goals.

This Special Issue aims to address the theoretical and practical advancements in intelligent agent systems, fostering interdisciplinary collaboration and innovation. By exploring their theoretical foundations, new challenges, and applications, we hope to drive forward the capabilities of intelligent systems, paving the way for a smarter, more efficient, and sustainable future.

We are pleased to invite you to contribute to this Special Issue, as it aims to bring together cutting-edge research and innovative solutions addressing the diverse theoretical problems and practical applications of intelligent systems across various domains.

In this Special Issue, we aim to gather novel theoretical, methodological, and technological approaches, in the form of literature reviews, empirical studies, case studies, challenges, strategies, and lessons learned in the design, application, and evaluation of intelligent systems, software agents, and multiagent systems. Research areas may include (but are not limited to) the following:

Theoretical Foundations:

• Novel theories, models, and architectures for intelligent agents.
• Multi-agent systems and coordination, organizations, institutions, norms, and ethics.
• Planning, learning, and adaptation in intelligent systems, including reasoning, machine/deep learning, and evolutionary algorithms.
• Markets, auctions, and game theory applied to intelligent agents.
• Engineering multiagent systems—requirements, modeling, BDI-based systems, technological paradigms (microservices, IoT, Cloud computing, robotics), and usability.
• Human–agent–system interaction—models, architectures, and tools.

Applications in Modelling and Simulation:

• Agent-based simulation—engineering, modeling, and applications.
• Social and social network simulation with agents.

Applications in Education:

• Intelligent training and tutoring systems.
• Adaptive and personalized learning environments.
• Educational data mining and analytics.
• Virtual and augmented reality in education.

Applications in Transportation and Logistics:

• Autonomous vehicles and traffic management.
• Intelligent transportation systems.
• Supply chain optimization and smart logistics.

Applications in Security:

• Cybersecurity and intelligent agents.
• Surveillance, monitoring systems, and intrusion detection.
• Privacy-preserving agent systems.

Applications in Healthcare:

• Intelligent diagnostic systems.
• Patient monitoring and management.
• Health data analytics.

Applications in Finance and Economics:

• Automated trading systems, financial forecasting, and risk management.
• Fraud detection and prevention.
• Economic modeling and simulation.

Applications in Environment and Sustainability:

• Environmental data collection and analysis.
• Disaster response and management.
• Intelligent systems for UN Sustainability Goals (SDGs) and the UN Leave No One Behind Principle (LNOB).

SDGs - https://sdgs.un.org/goals

LNOB - https://unsdg.un.org/2030-agenda/universal-values/leave-no-one-behind

Dr. Claudio Cubillos
Prof. Dr. Luis Javier Garcia Villalba
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.

• multiagent system
• agent-based simulation
• education
• transportation
• security
• healthcare
• sustainability