Incremental evolution of complex general behavior
Adaptive Behavior - Special issue on environment structure and behavior
Using emergent modularity to develop control systems for mobile robots
Adaptive Behavior - Special issue on environment structure and behavior
Evolving action selection and selective attention without actions, attention, or selection
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Emergence of functional modularity in robots
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Forming neural networks through efficient and adaptive coevolution
Evolutionary Computation
The Impact of Environmental Structure on the Evolutionary Trajectories of a Foraging Agent
Selected Papers from the 5th European Conference on Artificial Evolution
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This paper describes the simulation of a foraging agent in an environment with a simple ecological structure, alternatively using one of three different control systems with varying degrees of memory. These controllers are evolved to produce a range of emergent behaviours, which are analysed and compared using Latent Semantic Indexing (LSI): the behaviours are compared between controllers and in their evolutionary trajectories. It is argued that the ability of LSI to reduce large dimensional spaces to a lower dimensional representation which is easier to understand can help in highlighting key relationships in the complexity of interactions between agent and environment.