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We introduce SignalGP, a technique for creating digital organisms that harnesses the event-driven programming paradigm. These organisms can evolve to automatically react to signals from the environment or from other agents in a biologically-inspired manner. In addition to introducing SignalGP, we summarize previous results demonstrating the value of the event-driven paradigm in environments dominated by agent-agent and agent-environment interaction. Our full introduction to SignalGP will be published in the proceedings of the 2018 Genetic and Evolutionary Computation Conference (pre-print: https://arxiv.org/pdf/1804.05445.pdf).
This submission is a peer-reviewed extended abstract to appear in the proceedings of 2018 Conference on Artificial Life (ALIFE). In this extended abstract, we introduce SignalGP to the Artificial Life community, summarizing our full introduction to SignalGP (pre-print: https://arxiv.org/pdf/1804.05445.pdf).