Advancements in Practical Applications of Agents, Multi-Agent Systems and Simulating Cognitive Mimetics

Dear Colleagues,

Research in cognitive mimetics combined with artificial intelligence techniques is fundamental to advancing the understanding of the human mind and the development of more advanced technologies. This can have a positive impact on people's lives by improving the efficiency of human–computer interactions and the ability of technology to solve complex problems.

The combination of different AI techniques makes it possible to create more complex and realistic systems that mimic human behaviour. Understanding these processes can have a significant impact in areas such as education, psychology, and technology. For example, multi-agent systems make it possible to simulate the interaction of several individuals and thus understand how social dynamics work. Machine learning allows models to be adjusted based on real data, improving the accuracy of imitations. Fuzzy logic allows modelling the uncertainty and subjectivity that characterise human behaviour. Expert systems offer an alternative to data-driven models to mimic human decision making in specific situations. Finally, the internet of things allows the integration of digital and physical systems to create more realistic environments for research.

In conclusion, research in cognitive mimetics combined with AI techniques is essential to improve the understanding of the human mind and human behaviour and to develop more advanced technologies. The combination of different techniques allows the creation of more complex and realistic models that simulate human behaviour, which can have a significant impact in areas such as education, psychology, and technology.

For this Special Issue, we invite researchers to submit original, high- quality studies on the cognitive mimetics systems domain, and we urge them to address its main subdisciplines, including:

• Cognitive mimetics;
• Simulating cognitive mimetics systems;
• Simulation, modelling and analysis techniques;
• Reasoning in complex systems;
• Fuzzy logic systems;
• Mathematical modelling;
• Agent-based simulation;
• Multi-agent systems (MAS);
• Virtual agent organisations (VAO);
• IoT and MAS;
• CPS and MAS;
• Ambient intelligence.

Prof. Dr. Philippe Mathieu
Dr. Dalila Durães
Dr. Alfonso González-Briones
Dr. Fernando De la Prieta Pintado
Guest Editors

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