Complex Agent-Based Systems with Emergent Intelligence

Dear Colleagues,

Intelligence in nature is very diverse; it can be discussed about the intelligence of chimps, dolphins, and many other animals and even the collective intelligence of very simple life forms such as ants. The concept of intelligence is being adopted in many domains of sciences.

From practical and theoretical perspectives, an essential actual research direction, which is approached by a very large number of scientists worldwide, is represented by the development of artificial systems also called agent-based systems, which can be individual agents or cooperative multiagent systems, embedded in the environment, with a certain degree of autonomy, that are able to perceive the environment and execute actions in it. Intelligence in agent-based systems could emerge based on difficult problem-solving abilities. Intelligent agent-based systems have many real-world applications, including health sciences and industry. The number and diversity of intelligent systems increase very fast. In this context, a great challenge consists in creating increasingly intelligent systems. An important challenge that very few have approached worldwide consists in the development of universal metrics, including black-box-based intelligence metrics, able to measure systems’ intelligence. Such advances could allow for the comparison of the systems based on their intelligence. In the case of cooperative multiagent systems, intelligence can be considered at the system’s level, called collective intelligence. Even in very simple cooperative multiagent systems, agents could interact nonlinearly in different points of decision, having an emergent complexity and intelligence at the system’s level.

In this context, the aim of this Special Issue is to establish a solid ground with a collection of papers that advance this field by elaborating on theories, designing applications, and presenting surveys regarding the next-generation emerging field of more and more intelligent systems. Research questions could consist in the study of aspects such as self‐organization, emergence, hybridization, scalability, robustness, measuring machine intelligence, and others. 

Topics to be approached in this Special Issue include (but are not limited to) the following:

• Intelligent agent-based systems;
• Remote sensing;
• Intelligent analyzing sensor data;
• Machine learning;
• Data science;
• Applied statistics;
• Sensor data analysis;
• Sensor network;
• Artificial intelligence;
• Complex systems;
• Hybrid complex systems;
• Intelligent systems;
• Natural computing;
• Complex systems modeling;
• Agents and multi‐agent systems;
• Complex networks.

Dr. Laszlo Barna Iantovics
Guest Editor

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