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Outputs (5)

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems (2018)
Journal Article
Andras, P., Esterle, L., Guckert, M., Anh Han, T., Lewis, P. R., Milanovic, K., …Wells, S. (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE technology & society magazine, 37(4), 76-83. https://doi.org/10.1109/MTS.2018.2876107

Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha... Read More about Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems.

Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism (2018)
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 Life. https://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' decisions by aggregating their own and their neighbours' experience, and i... Read More about Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism.

Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches (2018)
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 Life. https://doi.org/10.1162/isal_a_00026

No abstract available.

Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches (2018)
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 interactions. Moreover, groups are more likely to avoid antisocial outcomes wh... Read More about Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches.

The institutional approach for modeling the evolution of human societies (2018)
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 institution is has proven difficult, with authors often talking past each other.... Read More about The institutional approach for modeling the evolution of human societies.