Abstract—Cooperative agent systems often do not account for sneaky agents who are willing to cooperate when the stakes are low and take selfish, ...
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The addition of trust modeling increases the decision process calculations, and solves more complex trust problems that are representative of the human world.
The addition of trust modeling increases the decision process calculations, and solves more complex trust problems that are representative of the human world.
The addition of trust modeling increases the decision process calculations, and solves more complex trust problems that are representative of the human world.
This paper is focused on discussing how the architecture of an agent could be designed to provide it the ability to foster trust between agents and therefore to ...
In open multi-agent systems, often, agents interact with each other to meet their objectives. Trust is, therefore, considered.
We study how trust can be established in multiagent systems where human and AI agents collaborate. We propose a computational notion of actual trust, ...
These models are based on the assumption that all agents are reliable when they share their judgements about a given partner to the others. However, these ...
May 25, 2022 · We propose Reinforcement Learning-based Trusted Consensus (RLTC), a decentralized trust mechanism, in which agents can independently decide which neighbors to ...
In this paper, the multi-agent organisation Trusted Community is presented, conceptually defined and the application in an open Desktop Grid System is ...