Uncertainty Handling in Distributed Artificial Intelligence and Complex Swarm Systems 

Special Session for FUZZ-IEEE2023 on:  

Uncertainty Handling in Distributed Artificial Intelligence and Complex Swarm Systems

AIM: Handling Uncertainty is a challenging problem, particularly in distributed systems. In such systems, the increase in the number of systems will lead to an exponentially increasing amount of interactions. The situations become harder if the swarm systems are also human-centered. Hence, controlling and decision-making need distributed intelligent strategies. This special session focuses on the current research trends in the areas of theory and implementation of such systems with a special focus on the role of fuzzy systems, swarm intelligence, neural networks, intelligent and cognitive paradigms for dealing with imprecision and uncertainty; decision making and control; fusing information from multiple sources; maintaining robustness and resiliency; forming swarm coordination, collaboration, and cooperation; human-swarm interaction; nano/macro swarm systems; swarm medical intelligence and well-being and finally, representing and interpreting layers of information and knowledge. It also has a wide range of real applications e.g. in Engineering, Physics, Medicine, Mathematics, Chemistry, Biology, Cosmology, Agriculture, Geology, Sociology, Literature, and Art. This special session will highlight the latest development in this rapidly growing research area of Uncertainty Handling in Distributed Artificial Intelligence and Complex Swarm Systems. Authors are invited to submit their original and unpublished work.

SCOPE: The scope includes (but not limited to) the following topics:

  • Decision-making and control in swarm/multi-agent systems
  • Adaptive, Fuzzy, evolutionary, neural, and nature-inspired swarm/multi-agent systems
  • Human-machine interface, human-swarm interface, brain-machine interface
  • Knowledge discovery, learning, reasoning, agents, knowledge representation
  • Fuzzy data analysis, clustering and classifiers, pattern recognition, bio-informatics
  • Swarm medical intelligence and well-being
  • Fuzzy information processing, information extraction and retrieval, fusion, text mining
  • Maintaining robustness and resiliency in swarm/multi-agent systems
  • Forming swarm coordination, collaboration, and cooperation
  • Human-swarm interaction
  • Nano/macro swarm systems
  • Fuzzy robotics, swarm robotics
  • Cognitive swarm agents
  • Intelligent fuzzy agents
  • Optimized swarm fuzzy systems
  • Human Decision-Making Inspiration
  • Innovative and Real-World Applications e.g. in Engineering, Medicine, Physics, Mathematics, Chemistry, Biology, Cosmology, Agriculture, Geology, Sociology, Literature, and Art. 

 This special session is supported by IEEE Taskforce on Fuzzy Systems.

 

Submission Guideline

Please follow the submission guideline from the IEEE Fuzzy 2023 Submission page. Special session papers are treated the same as regular conference papers. Please specify that your paper is for the Special Session on Uncertainty Handling in Distributed Artificial Intelligence and Complex Swarm Systems. Please also email the title and ID of your paper to sciip.fum{AT}gmail.com. All papers accepted and presented at FUZZ-IEEE2023 will be included in the conference proceedings published by IEEE Explore.

 

Important dates

  • Submission deadline: 15 February 2023
  • Conference dates: 13-17 August 2023

 

Special Session Chairs:

Prof. Mohammad-R. Akbarzadeh-T., akbarzadeh{AT}ieee.org, Department of Computer and Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran.

Dr. Nasibeh Rady Raz, radyraz{AT}mail.um.ac.ir, Department of Computer Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran.

 

About the organizers:

Mohammad-R. Akbarzadeh-T. is currently a professor and director of the Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), department of electrical engineering, Ferdowsi University of Mashhad. He received his Ph.D. on Evolutionary Optimization and Fuzzy Control of Complex Systems from the department of electrical and computer engineering at the University of New Mexico (UNM) in 1998. From 1996-2003, he was also affiliated with the NASA Center for Autonomous Control Engineering at UNM. In 2006 and 2017, he was also with the Berkeley Initiative on Soft Computing (BISC), UC Berkeley as a visiting scholar. In 2007, he also served as a consulting faculty at the Department of Aerospace and Aeronautic Engineering, Purdue University. Prof. Akbarzadeh is the founding president of the Intelligent Systems Scientific Society of Iran and the founding councilor representing the Iranian Coalition on Soft Computing in IFSA. He is also a senior member of the IEEE and the founding faculty councilor of the IEEE student branch until 2008. His research interests are in the areas of bio-inspired computing/optimization, fuzzy logic and control, soft computing, multi-agent systems, complex systems, robotics, cognitive sciences, and medical informatics. He has published over 450 peer-reviewed articles in these and related research fields.

Nasibeh Rady Raz is currently a postdoctoral fellow at the Department of Computer Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad (FUM), Mashhad, Iran.  She received her Ph.D. in Artificial Intelligence and Robotics from FUM. Her research interests are in the areas of artificial intelligence, complex systems, biomimicry/ bioinspiration, swarm intelligence, cognitive sciences, medical sciences, nanomedicine, cancer research, soft computing, stem cells, swarm-fuzzy nano robotics, and computational cellular/molecular biology.