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., Payne, T., Perret, C., Pitt, J., Powers, S. T., Urquhart, N., & 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.

Psychogeography With Technology (2018)
Presentation / Conference Contribution
Flint, T., Grandison, T., & Barrett, H. (2018, November). Psychogeography With Technology. Poster presented at Engage 2018, Edinburgh, Scotland

No abstract available.

Use of machine learning techniques to model wind damage to forests (2018)
Journal Article
Hart, E., Sim, K., Kamimura, K., Meredieu, C., Guyon, D., & Gardiner, B. (2019). Use of machine learning techniques to model wind damage to forests. Agricultural and forest meteorology, 265, 16-29. https://doi.org/10.1016/j.agrformet.2018.10.022

This paper tested the ability of machine learning techniques, namely artificial neural networks and random forests, to predict the individual trees within a forest most at risk of damage in storms. Models based on these techniques were developed i... Read More about Use of machine learning techniques to model wind damage to forests.

Designing Mixed Reality Experiences and Pedagogies on the NYC High Line (2018)
Presentation / Conference Contribution
O’Keefe, B., Flint, T., Friedman, E., & Benyon, D. (2018, October). Designing Mixed Reality Experiences and Pedagogies on the NYC High Line. Poster presented at Celebration of Scholarship, SUNY Farmingdale State College New York

No abstract available.

A framework for exploring intelligent artificial personhood. (2018)
Book Chapter
Kane, T. (2018). A framework for exploring intelligent artificial personhood. In V. C. Müller (Ed.), Philosophy and theory of artificial intelligence 2017 (255-258). Springer

The paper presents a framework for examining the human use of, and the activities of, artificial persons. This paper applies Hobbesian methodology to ascribe artificial personhood to business organisations, professional persons and algorithmic artifi... Read More about A framework for exploring intelligent artificial personhood..

Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites (2018)
Presentation / Conference Contribution
Urquhart, N., & Hart, E. (2018, September). Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites. Presented at Parallel Problem Solving from Nature (PPSN) 2018, Coimbra, Portugal

Workforce Scheduling and Routing Problems (WSRP) are very common in many practical domains, and usually have a number of objectives. Illumination algorithms such as Map-Elites (ME) have recently gained traction in application to design problems, in p... Read More about Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites.

A novel similarity-based mutant vector generation strategy for differential evolution (2018)
Presentation / Conference Contribution
Segredo, E., Lalla-Ruiz, E., & Hart, E. (2018, July). A novel similarity-based mutant vector generation strategy for differential evolution. Presented at The Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), Kyoto, Japan

The mutant vector generation strategy is an essential component of Differential Evolution (DE), introduced to promote diversity, resulting in exploration of novel areas of the search space. However, it is also responsible for promoting intensificatio... Read More about A novel similarity-based mutant vector generation strategy for differential evolution.

Fraud prevention in the B2C e-Commerce mail order business: a framework for an economic perspective on data mining (2018)
Thesis
Knuth, T. Fraud prevention in the B2C e-Commerce mail order business: a framework for an economic perspective on data mining. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/1256175

A remarkable gap exists between the financial impact of fraud in the B2C e-commerce mail order business and the amount of research conducted in this area — whether it be qualitative or quantitative research about fraud prevention. Projecting publishe... Read More about Fraud prevention in the B2C e-Commerce mail order business: a framework for an economic perspective on data mining.

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.

Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts (2018)
Presentation / Conference Contribution
Urquhart, N. (2018, April). Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts. Presented at EvoApplications 2018

EvoFilter is an evolutionary algorithm based tool for searching through large non-dominated fronts in order to find a subset of solutions that are of interest to the user. EvoFilter is designed to take the output of existing Multi Objective Evolutio... Read More about Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts.

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.