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210512 ||| eng |
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|a books978-3-03897-925-8
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|a 9783038979241
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|a 9783038979258
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|a Botti, Vicent
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| 245 |
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|a Multi-Agent Systems
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2019
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| 300 |
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|a 1 electronic resource (392 p.)
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| 653 |
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|a network management
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|a data visualization
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|a genetic algorithm
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|a multiple passive agents
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|a human-machine interaction
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|a multi-agent systems
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|a agent-based social simulation
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| 653 |
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|a [-5]agent-based simulation
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| 653 |
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|a multiagent systems
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|a scaled consensus
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|a coordination
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|a person tracking
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|a agent development framework
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| 653 |
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|a mobile device agent
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| 653 |
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|a multi-agent system
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| 653 |
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|a electronic bartering system
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| 653 |
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|a computer science
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| 653 |
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|a BDI agents
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| 653 |
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|a directed graph
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| 653 |
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|a smart cities
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| 653 |
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|a electric vehicles
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| 653 |
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|a autonomous agents
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| 653 |
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|a cognitive disabilities
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| 653 |
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|a model-driven development
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| 653 |
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|a semantic web
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| 653 |
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|a methodologies for agent-based systems
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| 653 |
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|a ontology
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| 653 |
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|a multi agent systems
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| 653 |
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|a carpooling
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| 653 |
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|a ambient intelligence
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a agreement technologies
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| 653 |
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|a formation tracking
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| 653 |
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|a agent methodologies
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| 653 |
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|a agent-oriented software engineering
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| 653 |
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|a perishable goods
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| 653 |
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|a semantic web service
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| 653 |
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|a Genetic Programming (GP)
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| 653 |
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|a mobile communication
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| 653 |
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|a agent behavior
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| 653 |
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|a linked data
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| 653 |
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|a pedestrian environment
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| 653 |
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|a commuting
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| 653 |
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|a surface vehicle
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| 653 |
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|a intelligent agents
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| 653 |
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|a velocity obstacle
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| 653 |
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|a computational accountability
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| 653 |
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|a Mobile Robot Navigation
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| 653 |
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|a agent-oriented technologies
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| 653 |
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|a intelligent hybrid systems
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| 653 |
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|a type-2 fuzzy inference system
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| 653 |
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|a SEA_ML
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| 653 |
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|a agent-based programming
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| 653 |
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|a orientation
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| 653 |
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|a History of engineering and technology / bicssc
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|a organizational model
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| 653 |
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|a multi-agent simulation
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| 653 |
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|a user interaction levels
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| 653 |
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|a online double auction
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| 653 |
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|a socio-technical systems
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| 653 |
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|a coordination models
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| 653 |
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|a agent development methodology
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| 653 |
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|a regression models
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| 653 |
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|a delay
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| 653 |
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|a travel behavior
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| 653 |
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|a collision avoidance
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| 653 |
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|a sociogram
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| 653 |
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|a mechanism design
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| 653 |
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|a underactuated vehicle
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| 653 |
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|a agent-based modeling
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| 653 |
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|a open data
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| 653 |
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|a agent-based simulation
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| 653 |
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|a bike sharing systems (BSS)
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| 653 |
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|a charging stations
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| 653 |
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|a tree mining
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| 653 |
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|a social commitments
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| 653 |
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|a agent technology
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| 653 |
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|a organizations and institutions
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| 653 |
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|a 3D representation
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| 653 |
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|a kinodynamic planning
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| 653 |
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|a trajectory mining
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| 653 |
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|a RBFNNs
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| 653 |
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|a behavior modeling
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| 653 |
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|a complex network
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| 653 |
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|a agent-based modelling
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| 653 |
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|a Behavior Trees (BTs)
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| 653 |
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|a coordinated control
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| 700 |
1 |
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|a Omicini, Andrea
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| 700 |
1 |
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|a Julian, Vicente
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| 700 |
1 |
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|a Mariani, Stefano
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 028 |
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|a 10.3390/books978-3-03897-925-8
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| 856 |
4 |
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|u https://directory.doabooks.org/handle/20.500.12854/54041
|z DOAB: description of the publication
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|u https://www.mdpi.com/books/pdfview/book/1303
|7 0
|x Verlag
|3 Volltext
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|a 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: https://www.www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019.
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