Survey on computational trust and reputation models
DDS Braga, M Niemann, B Hellingrath… - ACM Computing Surveys …, 2018 - dl.acm.org
Over the recent years, computational trust and reputation models have become an
invaluable method to improve computer-computer and human-computer interaction. As a …
invaluable method to improve computer-computer and human-computer interaction. As a …
Design Guidelines on Trust Management for Underwater Wireless Sensor Networks
In recent years, significant advancements in wireless underwater communication and
acoustic sensor technology have spurred the exploration and utilization of the ocean's vast …
acoustic sensor technology have spurred the exploration and utilization of the ocean's vast …
Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions
Through virtualization and resource integration, cloud computing has expanded its service
area and offers a better user experience than the traditional platforms, along with its …
area and offers a better user experience than the traditional platforms, along with its …
Trust management techniques for the Internet of Things: A survey
A vision of the future Internet is introduced in such a fashion that various computing devices
are connected together to form a network called Internet of Things (IoT). This network will …
are connected together to form a network called Internet of Things (IoT). This network will …
Use of a quantum genetic algorithm for coalition formation in large-scale UAV networks
Task allocation among a network of heterogeneous resource-constrained Unmanned Aerial
Vehicles (UAVs) in an unknown and remote environment is still a challenging problem …
Vehicles (UAVs) in an unknown and remote environment is still a challenging problem …
A survey of multi-agent deep reinforcement learning with communication
Communication is an effective mechanism for coordinating the behaviors of multiple agents,
broadening their views of the environment, and to support their collaborations. In the field of …
broadening their views of the environment, and to support their collaborations. In the field of …
Decentralized trust management: Risk analysis and trust aggregation
X Fan, L Liu, R Zhang, Q **g, J Bi - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Decentralized trust management is used as a referral benchmark for assisting decision
making by human or intelligence machines in open collaborative systems. During any given …
making by human or intelligence machines in open collaborative systems. During any given …
Estimating virtual trust of cognitive agents using multi layered socio-fuzzy inference system
Social network analysis for multi agent based models can support deeper and empirically
grounded understanding of the activities as well as agent's roles in the system. An agent …
grounded understanding of the activities as well as agent's roles in the system. An agent …
Differentially private malicious agent avoidance in multiagent advising learning
Agent advising is one of the key approaches to improve agent learning performance by
enabling agents to ask for advice between each other. Existing agent advising approaches …
enabling agents to ask for advice between each other. Existing agent advising approaches …
Cooperation and reputation dynamics with reinforcement learning
Creating incentives for cooperation is a challenge in natural and artificial systems. One
potential answer is reputation, whereby agents trade the immediate cost of cooperation for …
potential answer is reputation, whereby agents trade the immediate cost of cooperation for …