Intelligent Agents and Multi-Agent Systems: Theory, Methods and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 398

Special Issue Editors


E-Mail Website
Guest Editor
School of Computer Science and Technology, East China Normal University, Shanghai 200241, China
Interests: distributed optimization and applications; multi-agent learning
School of Computer Science and Technology, East China Normal University, Shanghai 200062, China
Interests: multi-agent reinforcement learning and applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In artificial intelligence, an intelligent agent is an autonomous entity which observes through sensors and acts upon an environment using actuators and directs its activity towards achieving goals. Intelligent agents may also learn or use knowledge to achieve their goals. Intelligent agents in artificial intelligence are closely related to agents in economics, and versions of the intelligent agent paradigm are studied in cognitive science, ethics, the philosophy of practical reason, as well as in many interdisciplinary socio-cognitive modeling and computer social simulations. A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Multi-agent systems consist of agents and their environment. Typically, multi-agent system research refers to software agents. However, the agents in a multi-agent system could equally be robots, humans or human teams. A multi-agent system may contain combined human-agent teams.

In this Special Issue, we invite submissions exploring cutting-edge research and recent advances in the fields of Intelligent Agents and Multi-Agent Systems, including theory, methods and applications. Both theoretical and experimental studies are welcome, as well as comprehensive review and survey papers.

Dr. Xiangfeng Wang
Dr. Bo Jin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

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

  • multi-agent systems
  • multi-agent learning
  • multi-agent optimization
  • multi-agent cooperation
  • multi-agent competition
  • multi-agent applications in robotics, social science, medicine

Published Papers

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