Trust between agents has been explored extensively in the literature. However, trust between agents and users has largely been left untouched. In this paper, we report our preliminary results of how reinforcement-learning agents (i.e. broker agents, or brokers) win the trust of their client in an artificial market I-TRUST. The goals of these broker agents are not only to maximize the total reve...

Behavioral neuroscientists have shown that the neuropeptide oxytocin (OT) plays a key role in social attachment and affiliation in nonhuman mammals. Inspired by this initial research, many social scientists proceeded to examine the associations of OT with trust in humans over the past decade. To conduct this work, they have (a) examined the effects of exogenous OT increase caused by intranasal ...

Trust between agents has been explored extensively in the literature. However, trust between agents and users has largely been left untouched. In this paper, we report our preliminary results of how reinforcement-learning agents (i.e. broker agents, or brokers) win the trust of their client in an artificial market I-TRUST. The goals of these broker agents are not only to maximize the total reve...

Online product recommendation agents are becoming increasingly prevalent on a wide range of websites. These agents assist customers in reducing information overload, providing advice to find suitable products, and facilitating online decision-making. Consumer trust in recommendation agents is an integral factor influencing their successful adoption. However, the nature of trust in technological...

the increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. through the development of semantic web, one major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. this raises the question of how much credence to give each resource. each user knows the trustworthiness of ...

The use of intelligent decision aids in Air Traffic Management is recommended to manage the exponential rise global air traffic. Consequently, trust, which one main drivers how Controllers such aids, has become an important area research. It been suggested that there a strong emotional influence formation Human-Human Trust, and it unclear if this paradigm valid for Human-Autonomy Trust. extent ...

Many real-world applications, such as Supply Chain Management (SCM), can be modeled using multi-agent systems. One shortcoming of current SCM models is that their trust models are ad hoc and do not have a strong theoretical basis. We propose a trust model for SCM that is grounded in probabilistic game theory. In this model, trust can be gained through direct interactions, and/or by asking for i...

This paper presents a calculus of channel security properties which allows to analyze and compare protocols for establishing secure channels in an insecure open network at a high level of abstraction. A channel is characterized by its direction, time of availability and its security properties. Cryptographic primitives and trust relations are interpreted as transformations for channel security ...

This paper develops and tests a model of consumer trust in an electronic commerce vendor. Building consumer trust is a strategic imperative for web-based vendors because trust strongly influences consumer intentions to transact with unfamiliar vendors via the web. Trust allows consumers to overcome perceptions of risk and uncertainty, and to engage in the following three behaviors that are crit...