Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Scaling, machine learning, and genetic neural nets
Advances in Applied Mathematics
The algorithmic beauty of plants
The algorithmic beauty of plants
Using genetic search to exploit the emergent behavior of neural networks
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
The appeal of parallel distributed processing
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Designing Neural Networks using Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
When Both Individuals and Populations Search: Adding Simple Learning to the Genetic Algorithm
Proceedings of the 3rd International Conference on Genetic Algorithms
Modularity in Evolved Artificial Neural Networks
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Shrinking the Genotype: L-systems for EHW?
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
HyGLEAM - An Approach to Generally Applicable Hybridization of Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Consideration of Multiple Objectives in Neural Learning Classifier Systems
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Proceedings of the Second European Workshop on Genetic Programming
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
How to shift bias: Lessons from the baldwin effect
Evolutionary Computation
Using learning to facilitate the evolution of features for recognizing visual concepts
Evolutionary Computation
Empirical investigation of the benefits of partial lamarckianism
Evolutionary Computation
Introduction to the special issue: Trends in evolutionary methods for program induction
Evolutionary Computation
Learning General Solutions through Multiple Evaluations during Development
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
A comparison between cellular encoding and direct encoding for genetic neural networks
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
An unorthodox introduction to Memetic Algorithms
ACM SIGEVOlution
Journal of Artificial Intelligence Research
Learning and multiagent reasoning for autonomous agents
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Hybrid learning using genetic algorithms and decision trees for pattern classification
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Investigating the effect of regulatory decisions in a development model
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Evolving plastic responses in artificial cell models
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Applying data mining to learn system dynamics in a biological model
Expert Systems with Applications: An International Journal
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Building knowledge into developmental rules for circuit design
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Information Sciences: an International Journal
The baldwin effect in developing neural networks
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Human-competitive results produced by genetic programming
Genetic Programming and Evolvable Machines
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
On the relationships between synaptic plasticity and generative systems
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Evolutionary cellular automata based neural systems for visual servoing
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
A memetic algorithm for the quadratic multiple container packing problem
Applied Intelligence
Evolutionary computation and its applications in neural and fuzzy systems
Applied Computational Intelligence and Soft Computing
Evolving plastic neural networks for online learning: review and future directions
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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A grammar tree is used to encode a cellular developmental process that can generate whole families of Boolean neural networks for computing parity and symmetry. The development process resembles biological cell division. A genetic algorithm is used to find a grammar tree that yields both architecture and weights specifying a particular neural network for solving specific Boolean functions. The current study particularly focuses on the addition of learning to the development process and the evolution of grammar trees. Three ways of adding learning to the development process are explored. Two of these exploit the Baldwin effect by changing the fitness landscape without using Lamarckian evolution. The third strategy is Lamarckian in nature. Results for these three modes of combining learning with genetic search are compared against genetic search without learning. Our results suggest that merely using learning to change the fitness landscape can be as effective as Lamarckian strategies at improving search.