Machine behaviour

Author:

Rahwan Iyad,Cebrian Manuel,Obradovich Nick,Bongard Josh,Bonnefon Jean-François,Breazeal Cynthia,Crandall Jacob W.,Christakis Nicholas A.,Couzin Iain D.,Jackson Matthew O.,Jennings Nicholas R.,Kamar Ece,Kloumann Isabel M.,Larochelle Hugo,Lazer David,McElreath Richard,Mislove Alan,Parkes David C.,Pentland Alex ‘Sandy’,Roberts Margaret E.,Shariff Azim,Tenenbaum Joshua B.,Wellman Michael

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference145 articles.

1. Simon, H. A. The Sciences of the Artificial (MIT Press, Cambridge, 1969). Simon asks whether there can be a science of the ‘artificial’ that produces knowledge about artificial objects and phenomena.

2. Milner, R. A modal characterisation of observable machine-behaviour. In Trees in Algebra and Programming, 6th Colloquium 25–34 (Springer, 1981). In this invited lecture, Robin Milner outlines the idea of studying machine behaviour using formal logic.

3. Thomaz, A. L. & Breazeal, C. Teachable robots: understanding human teaching behavior to build more effective robot learners. Artif. Intell. 172, 716–737 (2008).

4. Stone, P. et al. Artificial Intelligence and Life in 2030. One Hundred Year Study on Artificial Intelligence: Report of the 2015–2016 Study Panel https://ai100.stanford.edu/2016-report (Stanford University, 2016).

5. O’Neil, C. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Broadway Books, 2016). This book articulates some of the risks posed by the uncritical use of algorithms in society and provides motivation for the study of machine behaviour.

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