Downloads provided by UsageCounts
doi: 10.3390/app9071402
With the current advance of technology, agent-based applications are becoming a standard in a great variety of domains such as e-commerce, logistics, supply chain management, telecommunications, healthcare, and manufacturing. Another reason for the widespread interest in multi-agent systems is that these systems are seen as a technology and a tool that helps in the analysis and development of new models and theories in large-scale distributed systems or in human-centered systems. This last aspect is currently of great interest due to the need for democratization in the use of technology that allows people without technical preparation to interact with the devices in a simple and coherent way. In this Special Issue, different interesting approaches that advance this research discipline have been selected and presented.
agent methodologies, Technology, Agent-based simulation, smart cities, QH301-705.5, T, Physics, QC1-999, Multi-agent systems, Engineering (General). Civil engineering (General), Agent methodologies, Chemistry, ambient intelligence, Ambient intelligence, multi-agent systems, TA1-2040, Biology (General), QD1-999, LENGUAJES Y SISTEMAS INFORMATICOS, agent-based simulation, Smart cities
agent methodologies, Technology, Agent-based simulation, smart cities, QH301-705.5, T, Physics, QC1-999, Multi-agent systems, Engineering (General). Civil engineering (General), Agent methodologies, Chemistry, ambient intelligence, Ambient intelligence, multi-agent systems, TA1-2040, Biology (General), QD1-999, LENGUAJES Y SISTEMAS INFORMATICOS, agent-based simulation, Smart cities
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 39 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 62 | |
| downloads | 82 |

Views provided by UsageCounts
Downloads provided by UsageCounts