[agents] Call For Papers -- Special Issue (MDPI Applied Sciences) in Emerging Techniques in Engineering Intelligent Agents and Multi-agent Systems

[Gianluca Aguzzi]

(Apologies for cross-posting)

TL;DR: A special issue of Applied Sciences (ISSN 2076-3417) about Multi-Agent Systems, with a focus on Emerging Techniques.

Deadline for manuscript submissions: 30 November 2024 (Most likely will be extended)

Link: https://www.mdpi.com/journal/applsci/special_issues/36128M0RBR

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Special Issue Information

Dear Colleagues,

Research on Intelligent Agents and MASs has blossomed recently, incorporating new artificial intelligence techniques, and leading to real-world applications in complex environments like manufacturing and healthcare. This success is driven by the field's strong interdisciplinary nature and solid engineering foundations, drawing on logic, machine learning, game theory, distributed systems, and software engineering. The increasing need for distributed and dynamic computing systems, where independent entities interact, further fuels interest in MASs. The future of MASs is bright, with potential for significant advancements coming from integrations with large language models (LLMs), simulation tools, and machine and reinforcement learning. These integrations could push the boundaries of agent capabilities and open doors to even more powerful applications. At the same time, however, new engineering challenges await those who venture on these emerging research paths. In this Special Issue, we welcome contributions focussing on (present or future) practical applications of MASs, possibly involving the aforementioned integrations.

Dr. Giovanni Ciatto <giovanni.ciatto at unibo.it>
Dr. Stefano Mariani <stefano.mariani at unimore.it>
Dr. Mirgita Frasheri <mirgita.frasheri at ece.au.dk>
Dr. Gianluca Aguzzi <gianluca.aguzzi at unibo.it>

**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**
    convergence of agents and machine learning techniques
    convergence of agents and LLM
    agent and multi-agent applications
    agent-based engineering (development of techniques, tools, and platforms)
    agent-based simulation (development of techniques, tools, and platforms)
    biologically inspired approaches and methods for multi-agent systems
    agent-based (distributed) collective intelligence
    agent-based distributed problem solving
    human–robot/agent interaction
    learning and adaptation in multi-agent systems
    multi-robot systems
    negotiation and conflict resolution in multi-agent systems
    reasoning in agent-based systems
    self-organization in multi-agent systems
    multi-agent planning
    hybrid planning
    trust and reputation in multi-agent systems
    agents applied to cyber–physical systems (such as Internet of Things)
    convergence of blockchain (and smart contract) and multi-agent system technologies
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