Outputs (6)

Using Semantic Technology to Model Persona for Adaptable Agents (2021)
Presentation / Conference Contribution
Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021, June). Using Semantic Technology to Model Persona for Adaptable Agents. Presented at ECMS 2021

In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitable for the representation of travellers and their goal-oriented behaviour. A... Read More about Using Semantic Technology to Model Persona for Adaptable Agents.

An overview of agent-based traffic simulators (2021)
Journal Article
Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021). An overview of agent-based traffic simulators. Transportation Research Interdisciplinary Perspectives, 12, Article 100486. https://doi.org/10.1016/j.trip.2021.100486

Individual traffic significantly contributes to climate change and environmental degradation. Therefore, innovation in sustainable mobility is gaining importance as it helps to reduce environmental pollution. However, effects of new ideas in mobility... Read More about An overview of agent-based traffic simulators.

Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour (2021)
Presentation / Conference Contribution
Nguyen, J., Powers, S. T., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021, October). Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour. Presented at PAAMS: International Conference on Practical Applications of Agents and Multi-Agent System

AGADE Traffic is an agent-based traffic simulator that can be used to analyse purpose-driven travel behaviour of individuals that leads to the emergence of systemic patterns in mobility. The simulator uses semantic technology to model knowledge of in... Read More about Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour.

Modelling Individual Preferences to Study and Predict Effects of Traffic Policies (2021)
Presentation / Conference Contribution
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2021, October). Modelling Individual Preferences to Study and Predict Effects of Traffic Policies. Presented at PAAMS: International Conference on Practical Applications of Agents and Mu

Traffic can be viewed as a complex adaptive system in which systemic patterns arise as emergent phenomena. Global behaviour is a result of behavioural patterns of a large set of individual travellers. However, available traffic simulation models lack... Read More about Modelling Individual Preferences to Study and Predict Effects of Traffic Policies.

Cooperation in large‐scale human societies — What, if anything, makes it unique, and how did it evolve? (2021)
Journal Article
Powers, S. T., van Schaik, C. P., & Lehmann, L. (2021). Cooperation in large‐scale human societies — What, if anything, makes it unique, and how did it evolve?. Evolutionary Anthropology, 30(4), 280-293. https://doi.org/10.1002/e

To resolve the major controversy about why prosocial behaviors persist in large-scale human societies, we propose that two questions need to be answered. First, how do social interactions in small-scale and large-scale societies differ? By reviewing... Read More about Cooperation in large‐scale human societies — What, if anything, makes it unique, and how did it evolve?.

When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games (2021)
Journal Article
Han, T. A., Perrett, C., & Powers, S. T. (2021). When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games. Cognitive Systems Research, 68, Article 111-124. https://doi.org/10.1016/j.cog

The actions of intelligent agents, such as chatbots, recommender systems, and virtual assistants are typically not fully transparent to the user. Consequently , users take the risk that such agents act in ways opposed to the users' preferences or goa... Read More about When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games.