Computation at the edge of chaos: phase transitions and emergent computation
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Shapes in the shadow: evolutionary dynamics of morphogenesis
Artificial Life
A Taxonomy for artificial embryogeny
Artificial Life
A Gene Network Model for Developing Cell Lineages
Artificial Life
Directed evolution of an artificial cell lineage
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
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This article describes an interactive visualization tool, LinMap, for exploring the structure of complexity gradients in evolutionary landscapes. LinMap is a computationally efficient and intuitive tool for visualizing and exploring multidimensional parameter spaces. An artificial cell lineage model is presented that allows complexity to be quantified according to several different developmental and phenotypic metrics. LinMap is applied to the evolutionary landscapes generated by this model to demonstrate that different definitions of complexity produce different gradients across the same landscape; that landscapes are characterized by a phase transition between proliferating and quiescent cell lineages where both complexity and diversity are maximized; and that landscapes defined by adaptive fitness and complexity can display different topographical features.