The stuff we swim in: Regulation alone will not lead to justifiable trust in AI
Journal Article
Powers, S. T., Linnyk, O., Guckert, M., Hannig, J., Pitt, J., Urquhart, N., …Weber, T. (2023)
The stuff we swim in: Regulation alone will not lead to justifiable trust in AI. IEEE technology & society magazine, 42(4), 95-106. https://doi.org/10.1109/MTS.2023.3341463
Information technology is used ubiquitously and has become an integral part of everyday life. With the ever increasing pervasiveness and persuasiveness of Artificial Intellige...
When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games
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, https://doi.org/10.1016/j.cogsys.2021.02.003
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...
A mechanism to promote social behaviour in household load balancing
Conference Proceeding
Brooks, N. A., Powers, S. T., & Borg, J. M. (2020)
A mechanism to promote social behaviour in household load balancing. In Proceedings of the Artificial Life Conference 2020 (ALIFE 2020). , (95-103). https://doi.org/10.1162/isal_a_00290
Reducing the peak energy consumption of households is essential for the effective use of renewable energy sources, in order to ensure that as much household demand as possible...
Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism
Conference Proceeding
Perret, C., Powers, S. T., Pitt, J., & Hart, E. (2018)
Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism. In T. Ikegami, N. Virgo, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), Proceedings of the 2018 Conference on Artificial Lifehttps://doi.org/10.1162/isal_a_00058
Hierarchy is an efficient way for a group to organize, but often goes along with inequality that benefits leaders. To control despotic behaviour, followers can assess leaders'...
Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches
Conference Proceeding
Lewis, P. R., Powers, S. T., & Ekárt, A. (2018)
Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches. In N. Virgo, T. Ikegami, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), Proceedings of the 2018 Conference on Artificial Lifehttps://doi.org/10.1162/isal_a_00026
No abstract available.
Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches
Journal Article
Powers, S. T., Ekárt, A., & Lewis, P. R. (2018)
Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches. Cognitive Systems Research, 52, 67-81. https://doi.org/10.1016/j.cogsys.2018.04.012
Empirical work has shown that societies can sometimes avoid antisocial outcomes , such as the Tragedy of the Commons, by establishing institutional rules that govern their int...
The institutional approach for modeling the evolution of human societies
Journal Article
Powers, S. T. (2018)
The institutional approach for modeling the evolution of human societies. Artificial Life, 24(1), 10-28. https://doi.org/10.1162/ARTL_a_00251
Artificial Life is concerned with understanding the dynamics of human societies. A defining feature of any society is its institutions. However, defining exactly what an insti...
Defection
Book Chapter
Powers, S. T. (2017)
Defection. In Encyclopedia of Evolutionary Psychological Science (1-4). Springer. https://doi.org/10.1007/978-3-319-16999-6_1616-1
No abstract available.
The institutional approach for modeling the evolution of human societies
Conference Proceeding
Powers, S. (2016)
The institutional approach for modeling the evolution of human societies. In Proceedings of the Artificial Life Conference 2016https://doi.org/10.7551/978-0-262-33936-0-ch011
Artificial Life is concerned with understanding the dynamics of human societies. A defining feature of any human society is its institutions. However, defining exactly what an...
The co-evolution of social institutions, demography, and large-scale human cooperation
Journal Article
Powers, S. T., & Lehmann, L. (2013)
The co-evolution of social institutions, demography, and large-scale human cooperation. Ecology Letters, 16(11), 1356-1364. https://doi.org/10.1111/ele.12178
Human cooperation is typically coordinated by institutions, which determine the outcome structure of the social interactions individuals engage in. Explaining the Neolithic tr...