- 2.6Impact Factor
- 6.1CiteScore
- 17 daysTime to First Decision
Generative and Multi-Agent AI for Next-Generation Electronic and Software Systems
This special issue belongs to the section “Computer Science & Engineering“.
Special Issue Information
Dear Colleagues,
Recent advances in generative artificial intelligence and multi-agent learning systems are fundamentally reshaping the design, development, and operation of next-generation electronic and software systems. Large language models (LLMs), foundation models, and autonomous AI agents are rapidly evolving from passive analysis tools into proactive system components capable of reasoning, planning, collaboration, and decision-making across complex engineering workflows.
This Special Issue aims to provide a timely and focused forum for cutting-edge research on generative and multi-agent AI techniques that enable intelligent, adaptive, and scalable electronic and software systems. We particularly welcome contributions that bridge theoretical advances and real-world system-level applications, highlighting how generative models and agent-based architectures can enhance system reliability, efficiency, explainability, and automation.
The scope of this Special Issue spans a wide range of topics, including but not limited to multi-agent LLM systems, autonomous AI agents for software and hardware co-design, generative models for electronic system optimization, AI-assisted software engineering, self-healing and self-adaptive systems, AI-driven testing and verification, and human–AI collaboration frameworks. Submissions addressing reproducibility, robustness, deployment constraints, and industrial relevance are especially encouraged.
By bringing together researchers from electronics, computer engineering, and software systems, this Special Issue seeks to advance the understanding of how generative and multi-agent AI can serve as a core enabling technology for next-generation intelligent systems. We invite original research articles and high-quality review papers that contribute novel methodologies, system architectures, experimental insights, or comprehensive surveys aligned with the scope of Electronics.
We look forward to receiving your valuable contributions.
Dr. Geunseok Yang
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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. Electronics 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
- generative artificial intelligence
- multi-agent systems
- large language models
- autonomous AI agents
- AI-driven software engineering
- intelligent electronic systems
- human–AI collaboration
- self-adaptive systems
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

