Multi-Agentic Systems for Automated Task Execution
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 103
Special Issue Editors
Interests: AI agents; foundation models
Special Issue Information
Dear Colleagues,
The direct application of large language models (LLMs) and vision-language models (VLMs) as autonomous agents has become increasingly significant in advancing artificial intelligence. This Special Issue focuses on the development and application of multimodal multi-agent systems designed for automated task execution across diverse environments, including web-based platforms, operating systems, and software applications.
A central theme of this topic concerns agentic workflows that enable agents to interpret textual instructions, decompose tasks into subtasks, and execute them autonomously in a structured, step-by-step manner. Such systems are particularly relevant for web-based automation, where agents process natural language commands to interact with online environments, similar to OpenAI's Operator. Another key area of interest is operating system-level automation, where intelligent agents execute complex tasks on platforms such as Android, iOS, general computing environments, or even embodied environments. Additionally, software and application automation through multi-agent collaboration can optimize workflows for tasks like code debugging, system maintenance, and multi-step data processing.
The Special Issue also highlights the role of reasoning, long-horizon planning, and tool integration in enabling effective multi-agent collaboration. Reinforcement learning and adaptive agentic workflows are essential for enhancing decision-making, ensuring adaptability, and improving efficiency in autonomous task execution. We invite contributions that explore novel methodologies, architectures, and real-world applications of multimodal multi-agentic systems for task automation, addressing key challenges and innovations in this rapidly evolving field.
We look forward to receiving your contributions.
Dr. Yunpu Ma
Dr. Zhen Han
Guest Editors
Manuscript Submission Information
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Keywords
- multi-agent system
- multi-agent collaboration
- multimodal agent
- operation agent
- embodied agent
- agent with reasoning
- agent with planning
- tool usage of agents
- agentic workflow
- agentic workflow optimization
- agentic systems and reinforcement learning
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