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210512 ||| eng |
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|a 9783038979258
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|a books978-3-03897-925-8
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|a 9783038979241
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| 100 |
1 |
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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 pedestrian environment
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|a network management
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|a commuting
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|a surface vehicle
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|a intelligent agents
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|a velocity obstacle
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| 653 |
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|a data visualization
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| 653 |
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|a computational accountability
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| 653 |
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|a genetic algorithm
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| 653 |
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|a Mobile Robot Navigation
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| 653 |
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|a multiple passive agents
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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 human-machine interaction
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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 social simulation
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| 653 |
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|a agent-based programming
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| 653 |
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|a multi-agent systems
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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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| 653 |
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|a scaled consensus
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| 653 |
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|a coordination
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| 653 |
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|a orientation
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| 653 |
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|a person tracking
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| 653 |
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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 mobile device agent
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| 653 |
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|a user interaction levels
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| 653 |
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|a agent development framework
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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 online double auction
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| 653 |
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|a BDI agents
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| 653 |
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|a computer science
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| 653 |
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|a socio-technical systems
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| 653 |
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|a directed graph
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| 653 |
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|a coordination models
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| 653 |
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|a smart cities
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| 653 |
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|a agent development methodology
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| 653 |
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|a electric vehicles
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| 653 |
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|a regression models
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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 delay
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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 semantic web
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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 ontology
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| 653 |
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|a sociogram
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| 653 |
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|a carpooling
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| 653 |
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|a multi agent systems
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| 653 |
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|a ambient intelligence
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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 Artificial Intelligence
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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 agreement technologies
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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 formation tracking
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| 653 |
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|a agent-oriented software engineering
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| 653 |
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|a agent methodologies
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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 perishable goods
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| 653 |
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|a kinodynamic planning
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| 653 |
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|a semantic web service
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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 Genetic Programming (GP)
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| 653 |
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|a socio–technical systems
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| 653 |
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|a complex network
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| 653 |
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|a mobile communication
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| 653 |
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|a agent-based modelling
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| 653 |
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|a agent behavior
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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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| 653 |
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|a linked data
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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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| 024 |
8 |
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|a 10.3390/books978-3-03897-925-8
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| 856 |
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|u https://directory.doabooks.org/handle/20.500.12854/54041
|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.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019.
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