The calculi of emergence: computation, dynamics and induction
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Entropy and self-organization in multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
Godel, Escher, Bach: An Eternal Golden Braid
Godel, Escher, Bach: An Eternal Golden Braid
Toward a formalization of emergence
Artificial Life
Causal architecture, complexity and self-organization in time series and cellular automata
Causal architecture, complexity and self-organization in time series and cellular automata
Complexity Metrics for Self-monitoring Impact Sensing Networks
EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
Self-Organizing Hierarchies in Sensor and Communication Networks
Artificial Life
Taxonomy for the modeling and simulation of emergent behavior systems
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Pedestrian modelling: a comparative study using agent-based cellular automata
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Interaction metric of emergent behaviors in agent-based simulation
Proceedings of the Winter Simulation Conference
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Emergence is seen as the most significant feature discriminating “complex” from “non complex” systems. Nevertheless, no standard definition of emergence is currently available in the literature. This lack of a shared view affects the development of tools to detect and model emergence for both scientific and engineering applications. Here we review some definitions of emergence with the aim to describe how they can be implemented in algorithms to detect and model emergence in sensor and communication networks.