Automated support of design teams, consisting of both human and automated systems, requires an understanding of the role of trust in distributed design processes. By explicitating trust, an individual designer’s decisions become better understood and may be better supported. Each individual designer has his or her private goals in a co-operative design setting, in which requirement conflicts an...

As an important concept in network security, trust is interpreted as a set of relations among agents participating in the network activities. Trust relations are based on previous behaviors of agents as well as on trust documents. We present our results on distributed trust management in MANET. The trust information or evidence used to evaluate trustworthiness is provided by peers, i.e. the age...

In open multi-agent systems trust models are an important tool for agents to achieve effective interactions. However, in these kinds of open systems, the agents do not necessarily use the same, or even similar, trust models, leading to semantic differences between trust evaluations in the different agents. Hence, to successfully use communicated trust evaluations, the agents need to align their...

Trust is usually viewed at an individual level in the sense of an agent having trust in a certain trustee. It can also be considered at a population level, in the sense of how much trust for a certain trustee exists in a given population or group of agents. The dynamics of trust states over time can be modelled per individual in an agent-based manner. These individual trust states can be aggreg...

In open multi-agent systems trust models are an important tool for agents to achieve effective interactions. However, in these kinds of open systems, the agents do not necessarily use the same, or even similar, trust models, leading to semantic differences between trust evaluations in the different agents. Hence, to successfully use communicated trust evaluations, the agents need to align their...

The efficiency of e-commerce can be increased through the usage of intelligent agents which negotiate and execute contracts on behalf of their owners. The knowledge of trust to secure interactions between autonomous agents is crucial for the success of agent-mediated e-commerce. Building a knowledge sharing network among peer agents helps to overcome trust-related boundaries in an intelligent e...

We introduce MAgent, a platform to support research and development of many-agent reinforcement learning. Unlike previous research platforms on single or multi-agent reinforcement learning, MAgent focuses on supporting the tasks and the applications that require hundreds to millions of agents. Within the interactions among a population of agents, it enables not only the study of learning algori...

The concept of trust in multi-agent systems (MASs) has received significant attention in recent years, and a number of approaches have been proposed to enable agents to form, maintain and use trust relationships in their dealings with others. However, current approaches do not adequately address highly dynamic multi-agent systems, where the population and structure changes frequently. For examp...