This chapter explores the concept of computational life through the lens of self-replicating programs and their implications for understanding the origins of life and artificial intelligence. It highlights how random interactions within simple systems can lead to complex evolutionary processes, emphasizing the role of self-replication in the preservation of information. The discussion also integrates information theory to define and measure 'interesting complexity' in the evolution of digital life.

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