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Chapter and Conference Paper
Modelling Trust Dynamics from a Neurological Perspective
Trust dynamics is often modelled in relation to experiences and usually from a cognitive perspective, leaving affective aspects out of consideration. Inspired by neurological findings that show more and more h...
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Chapter and Conference Paper
Modelling Trust for Communicating Agents: Agent-Based and Population-Based Perspectives
This paper presents an exploration of the differences between agent-based and population-based models for trust dynamics. This exploration is based on both a large variety of simulation experiments and a mathe...
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Chapter and Conference Paper
Validation and Verification of Agent Models for Trust: Independent Compared to Relative Trust
In this paper, the results of a validation experiment for two existing computational trust models describing human trust are reported. One model uses experiences of performance in order to estimate the trust i...
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Chapter and Conference Paper
Incorporating Interdependency of Trust Values in Existing Trust Models for Trust Dynamics
Many models of trust consider the trust an agent has in another agent (the trustee) as the result of experiences with that specific agent in combination with certain personality attributes. For the case of mul...
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Chapter and Conference Paper
Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
Trust dynamics can be modelled in relation to experiences. Both cognitive and neural models for trust dynamics in relation to experiences are available, but were not yet related or compared in more detail. Thi...
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Chapter and Conference Paper
Adaptation and Validation of an Agent Model of Functional State and Performance for Individuals
Human performance can seriously degrade under demanding tasks. To improve performance, agents can reason about the current state of the human, and give the most appropriate and effective support. To enable thi...
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Chapter and Conference Paper
Modeling Dynamics of Relative Trust of Competitive Information Agents
In order for personal assistant agents in an ambient intelligence context to provide good recommendations, or pro-actively support humans in task allocation, a good model of what the human prefers is essential...