Multi-Agent Systems

Edited by
May 2019
392 pages
  • ISBN978-3-03897-924-1 (Paperback)
  • ISBN978-3-03897-925-8 (PDF)

This book is a reprint of the Special Issue Multi-Agent Systems that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Environmental & Earth Sciences
Physical Sciences

This Special Issue "Multi-Agent Systems" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments.

With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics.

We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website:

  • Paperback
License and Copyright
© 2019 by the authors; CC BY-NC-ND license
scaled consensus; delay; formation tracking; multi-agent system; collision avoidance; multiple passive agents; Mobile Robot Navigation; pedestrian environment; kinodynamic planning; velocity obstacle; agent-based modeling; complex network; multi-agent system; network management; [-5]agent-based simulation; agent-based social simulation; multi-agent system; agent-oriented software engineering; sociogram; agent technology; organizational model; agent behavior; travel behavior; commuting; carpooling; online double auction; mechanism design; perishable goods; multi-agent simulation; bike sharing systems (BSS); regression models; open data; data visualization; multi agent systems; organizations and institutions; socio-technical systems; multi-agent systems; electric vehicles; charging stations; genetic algorithm; multi-agent system; agent-based simulation; 3D representation; human-machine interaction; ambient intelligence; user interaction levels; intelligent agents; intelligent hybrid systems; type-2 fuzzy inference system; methodologies for agent-based systems; organizations and institutions; socio–technical systems; computational accountability; social commitments; agent-based programming; multi-agent system; BDI agents; model-driven development; agent development methodology; semantic web service; ontology; SEA_ML; electronic bartering system; ambient intelligence; cognitive disabilities; mobile communication; orientation; person tracking; trajectory mining; agreement technologies; coordination models; multiagent systems; smart cities; surface vehicle; underactuated vehicle; RBFNNs; directed graph; coordinated control; Behavior Trees (BTs); Genetic Programming (GP); autonomous agents; behavior modeling; tree mining; agent development framework; mobile device agent; linked data; semantic web; multi-agent systems; agent-based modelling; agent-based simulation; agent-oriented technologies; coordination; Artificial Intelligence; computer science; multi-agent systems; agent methodologies; agent-based simulation; ambient intelligence; smart cities