Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Artificial Life
Proceedings of the sixth international conference on Artificial life
ALIFE Proceedings of the sixth international conference on Artificial life
A classification of long-term evolutionary dynamics
ALIFE Proceedings of the sixth international conference on Artificial life
Visualizing evolutionary activity of genotypes
Artificial Life
Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life
Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
The View From Elsewhere: Perspectives on ALife Modeling
Artificial Life
Organizing relations and emergence
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Tracking the trajectories of evolution
Artificial Life
Evolutionary Computation - Special issue on magnetic algorithms
A Comprehensive Overview of the Applications of Artificial Life
Artificial Life
Simple Ecological Rules Yield Complex Agent Networks
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
An ecologically inspired simulation tool for managing digital ecosystems
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
How to be a successful app developer: lessons from the simulation of an app ecosystem
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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This work investigates the effect of ecological interactions between organisms on the evolutionary dynamics of a community. A spatially explicit, individual-based model is presented, in which organisms compete for space and resources. We investigated how introducing the potential for mutualistic relationships (where the presence of one type of organism stimulates the growth of another type, and vice versa) affected the evolutionary dynamics of the system. Without this potential, one or a small number of individual types of organisms dominated the simulated community from the onset. When mutualistic relationships were allowed, many persisting types arose, with new types appearing continually. Furthermore, we investigated how the stability of the community differed when mutualistic relationships were allowed and disallowed. Our results suggest that the existence of mutualistic relationships improved community stability.