Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Adding “foveal vision” to Wilson's animat
Adaptive Behavior
From SAB90 to SAB94: four years of animat research
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Machine vision
Statistical snakes: active region models
BMVC 94 Proceedings of the conference on British machine vision (vol. 2)
Spatial representation for navigation in animats
Adaptive Behavior
Modeling ant navigation with an autonomous agent
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming!
Digital Image Processing
Computer Vision
Classifier Systems and the Animat Problem
Machine Learning
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Genetic programming for edge detection based on accuracy of each training image
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Genetic programming for edge detection using blocks to extract features
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Automatic construction of invariant features using genetic programming for edge detection
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Figure of merit based fitness functions in genetic programming for edge detection
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
Automatic construction of gaussian-based edge detectors using genetic programming
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Genetic programming for edge detection using multivariate density
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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This paper describes how animat-based "food foraging" techniques may be applied to the design of low-level image processing algorithms. First, we show how we implemented the food foraging application using the EASEA software package. We then use this technique to evolve an animat and learn how to move inside images and detect high-gradient lines with a minimum exploration time. The resulting animats do not use standard "scanning + filtering" techniques but develop other image exploration strategies close to contour tracking. Experimental results on grey level images are presented.