Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Hierarchical learning with procedural abstraction mechanisms
Hierarchical learning with procedural abstraction mechanisms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A Survey of Optimization by Building and Using Probabilistic Models
Computational Optimization and Applications
A Representation for the Adaptive Generation of Simple Sequential Programs
Proceedings of the 1st International Conference on Genetic Algorithms
Modeling Building-Block Interdependency
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Shorter Fitness Preserving Genetic Programs
AE '99 Selected Papers from the 4th European Conference on Artificial Evolution
What Is Thought?
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Linkage Problem, Distribution Estimation, and Bayesian Networks
Evolutionary Computation
A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming
Evolutionary Computation
Algebraic simplification of GP programs during evolution
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Probabilistic incremental program evolution
Evolutionary Computation
Evolving computer programs without subtree crossover
IEEE Transactions on Evolutionary Computation
Proceedings of the 2007 conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006
Universal induction with varying sets of combinators
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
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A program evolution component is proposed for integrative artificial general intelligence. The system's deployment is intended to be comparable, on Marr's level of computational theory, to evolutionary mechanisms in human thought. The challenges of program evolution are described, along with the requirements for a program evolution system to be competent --solving hard problems quickly, accurately, and reliably. Meta-optimizing semantic evolutionary search (MOSES) is proposed to fulfill these requirements.