Multi-agent systems: A survey
Multi-agent systems (MASs) have received tremendous attention from scholars in different
disciplines, including computer science and civil engineering, as a means to solve complex …
disciplines, including computer science and civil engineering, as a means to solve complex …
Multi-agent systems for distributed data mining techniques: An overview
The term “multi-agent systems”(MAS) refers to a mechanism that is used to create goal-
oriented autonomous agents in a shared environment and have communication and …
oriented autonomous agents in a shared environment and have communication and …
[HTML][HTML] Cooperative control of heterogeneous multi-agent systems under spatiotemporal constraints
A current trend in research on multi-agent control systems is to consider high-level task
specifications that go beyond traditional control objectives and take into account the …
specifications that go beyond traditional control objectives and take into account the …
Hashtag narrative: Emergent storytelling and affective publics in the digital age
P Dawson - International Journal of Cultural Studies, 2020 - journals.sagepub.com
This article investigates the role that narrative plays in the emergence of cultural movements
from the networked interactions of users with the algorithmic structures of social media …
from the networked interactions of users with the algorithmic structures of social media …
Reactive resource provisioning heuristics for dynamic dataflows on cloud infrastructure
The need for low latency analysis over high-velocity data streams motivates the need for
distributed continuous dataflow systems. Contemporary stream processing systems use …
distributed continuous dataflow systems. Contemporary stream processing systems use …
Embedded decision support platform based on multi-agent systems
There has been an outstanding use of memory storage of processors as current
applications: Artificial Intelligence-based applications, 3D-reconstruction or Blockchain …
applications: Artificial Intelligence-based applications, 3D-reconstruction or Blockchain …
Multi-agent reinforcement learning by the actor-critic model with an attention interface
L Zhang, J Li, H Shi, KS Hwang - Neurocomputing, 2022 - Elsevier
Multi-agent reinforcement learning algorithms have achieved satisfactory performances in
various scenarios, but many of them encounter difficulties in partially observable …
various scenarios, but many of them encounter difficulties in partially observable …
Safer: Social capital-based friend recommendation to defend against phishing attacks
The tremendous growth of social media has been accompanied by highly advanced online
social network (OSN) technologies. Such advanced technologies have been heavily utilized …
social network (OSN) technologies. Such advanced technologies have been heavily utilized …
Approval network: a novel approach for sentiment analysis in social networks
The data-centric impetus and the development of online social networks has led to a
significant amount of research that is nowadays more flexible in demonstrating several …
significant amount of research that is nowadays more flexible in demonstrating several …
[图书][B] Modern big data architectures: a multi-agent systems perspective
D Ryzko - 2020 - books.google.com
Provides an up-to-date analysis of big data and multi-agent systems The term Big Data
refers to the cases, where data sets are too large or too complex for traditional data …
refers to the cases, where data sets are too large or too complex for traditional data …