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Abstract: In some fields today, real action is taking place among machines that interact with one another without direct human involvement. A key illustration of this is the financial markets in which most orders to buy or sell securities are now sent by fully automated algorithms that each observe what other algorithms are doing and respond accordingly (other potential examples include online advert auctions and automated warfare). Using automated trading as my central reference, this presentation discusses the importance of understanding machinic interaction. I examine how existing sociological approaches to machines (including robots and algorithms) can shed some light on machinic interaction, but also point out that they fail to address the very interaction dimension. Given this, I present an alternative way of theorizing and studying machinic interaction from a sociological point of view.