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TY - UNPB ID - cogprints3306 UR - http://cogprints.org/3306/ A1 - Togelius, Mr Julian Y1 - 2003/09// N2 - An approach to robotics called layered evolution and merging features from the subsumption architecture into evolutionary robotics is presented, its advantages and its relevance for science and engineering are discussed. This approach is used to construct a layered controller for a simulated robot that learns which light source to approach in an environment with obstacles. The evolvability and performance of layered evolution on this task is compared to (standard) monolithic evolution, incremental and modularised evolution. To test the optimality of the evolved solutions the evolved controller is merged back into a single network. On the grounds of the test results, it is argued that layered evolution provides a superior approach for many tasks, and future research projects involving this approach are suggested. PB - University of Sussex KW - subsumption KW - behaviour-based KW - behavior-based KW - robotics KW - evolutionary robotics KW - evolution KW - plastic networks KW - neural plasticity TI - Evolution of the layers in a subsumption architecture robot controller AV - public ER -