Artificial Intelligence in Multi-Agent Systems

A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: closed (1 December 2022) | Viewed by 432

Special Issue Editor


E-Mail Website
Guest Editor
Systems and Technologies Integration Laboratory (LIST), the French Alternative Energies and Atomic Energy Commission (CEA), Paris-Saclay University, 91191 Paris, France
Interests: artificial intelligence; multiagent systems; collective intelligence; self-organizing systems; distributed problem solving

Special Issue Information

Dear Colleagues,

Research carried out on intelligent agents and multi-agent systems has matured during the last decade, and many effective applications of this technology are being deployed. Despite the fact that computational approaches for multi-agent systems have mainly emerged in recent decades, scholars have been prolific with the variety of methods proposed to solve this paradigm. Different communities have emerged with multi-agent systems as their main research topic.

Multi-agent systems allow the development of intelligent and distributed applications in complex and dynamic environments. Systems of this kind play a crucial role in life, as evidenced by the broad range of applied areas involved in their use, including manufacturing, management sciences, e-commerce, biotechnology, etc.

The interest of researchers in this discipline lies in diverse reasons. Firstly, computational systems have gradually shifted toward a distributed paradigm where heterogeneous entities with different goals can enter and leave the system dynamically and interact with each other. Secondly, new computational systems should be able to dynamically learn and adapt to the changes in their environments in order to coordinate better. As a consequence, intelligence, learning, autonomy, interaction, adaptation, mobility, and openness are key concepts studied in the area.

The purpose of this Special Issue is to make known some of the advances achieved in the use of different AI algorithms involving machine learning, deep learning, reinforcement learning, and computational intelligence techniques in multi-agent systems applications and to show the current state by analyzing different aspects as well as possible application to various domains. In this issue, we do not intend to exhaustively explore all the current existing works but rather give an overview of the research in intelligent agent technology, showing the high level of activity in this area.

Dr. Önder Gürcan
Guest Editor

Manuscript Submission Information

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Keywords

  • multi-agent systems
  • machine learning
  • deep learning
  • reinforcement learning
  • computational intelligence

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Published Papers

There is no accepted submissions to this special issue at this moment.
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