This article traces the relationship between neoliberal thought and neural networks through the work of Friedrich Hayek, Donald O. Hebb, and Frank Rosenblatt. For all three, networked systems could accomplish acts of evolution, change, and learning impossible for individual neurons or subjects—minds, machines, and economies could therefore all autonomously evolve and adapt without government. These three figures, I argue, were also symptoms of a broader reconceptualization of reason, decision making, and “freedom” in relation to the state and technology that occurred (...) throughout the 1950s–1970s. I also argue that this genealogy of decision-making underpins contemporary relations between machine learning, reactionary politics, and neoliberal economics. (shrink)

This article argues that Hayek employed a neo-Roman concept of liberty. It will show that Hayek’s definition of liberty conforms to that provided by Philip Pettit and Quentin Skinner, respectively the chief theorist and leading historian of the neo-Roman concept. It will go on to demonstrate how the genealogy of liberty Hayek provides is also the same as that offered by Pettit and Skinner. This is important, as the neo-Roman concept is not regarded, either by Hayek or by neo-republicans led (...) by Pettit, as a product of political theory. Instead it is viewed as underpinning a historical tradition. Hayek’s self-conscious association with this tradition reinforces the article’s prior claim that Hayek’s conceptual writing on liberty is neo-Roman. Finally, the article considers how the neo-Roman nature of Hayek’s work complicates the historical narrative and political claims the neo-republicans make for the neo-Roman concept. It concludes that it is open to use by another, very different, political tradition: free market liberalism. (shrink)

This article argues that Hayek employed a neo-Roman concept of liberty. It will show that Hayek’s definition of liberty conforms to that provided by Philip Pettit and Quentin Skinner, respectively...