Special Issue "Multi-Agent Systems"
Deadline for manuscript submissions: 28 February 2018
Prof. Dr. Andrea Omicini
Department of Computer Science and Engineering (DISI) Alma Mater Studiorum – Università di Bologna Via Sacchi 3, 47521 Cesena, Italy
Website | E-Mail
Interests: distributed systems; coordination; agents & multiagent systems; software engineering; intelligent systems; multi-paradigm programming languages; simulation; self-organisation
Research work done on Intelligent Agents and Multi-Agent Systems has matured during the last decade, and many effective applications of this technology are currently deployed. Despite the fact that computational approaches for multi-agent systems have mainly emerged in the last few decades, scholars have been prolific with the variety of methods proposed to solve this paradigm. Different communities have emerged with Multi-Agent Systems as their main research topic.
Multi-agent systems allow the development of distributed and intelligent applications in complex and dynamic environments. Systems of this kind have a crucial role in life evidenced by the broad range of applied areas involved in their use, including manufacturing, management sciences, e-commerce, biotechnology, etc.
The interest of researchers in this new discipline lies in diverse reasons. Firstly, computational systems have gradually shifted towards a distributed paradigm where heterogeneous entities with different goals can enter and leave the system dynamically and interact with each other. Secondly, new computational systems should be able to negotiate with one another, typically on behalf of humans, in order to come to mutually acceptable agreements. As a consequence, autonomy, interaction, mobility and openness are key concepts studied in the area.
The purpose of this Special Issue is to make known some of the advances made in this paradigm and try to show the current state of this technology by analyzing different aspects, as well as its possible application to various domains. In this review of the current state, it is not intended to make an exhaustive exploration of all the current existing works, but rather to try to give an overview of the research in agent technology, showing the high-level of activity of this area.
Prof. Dr. Vicent Botti
Dr. Vicente Julian
Prof. Andrea Omicini
Dr. Stefano Mariani
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 papers will be 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 monthly 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 1400 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.
Agent and multi-agent applications
Agent engineering: Development techniques, tools, and platforms
Biologically-inspired approaches and methods
Distributed problem solving
Intelligent control and manufacturing systems
Learning and adaptation in MAS
Methodologies for agent-based systems
Negotiation and conflict resolution
Organizations and institutions
Reasoning in agent-based systems
Single and multi-agent planning and scheduling
Teamwork, team formation, teamwork analysis
Trust and reputation