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Proceedings of the third international conference on Genetic algorithms
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Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
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Market-based control: a paradigm for distributed resource allocation
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Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Neuro-Dynamic Programming
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Machine Learning
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ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
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Evolutionary Computation
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AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Market-Based Reinforcement Learning in Partially Observable Worlds
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
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Advances in evolutionary computing
Optimal Ordered Problem Solver
Machine Learning
Evolution of Cooperative Problem Solving in an Artificial Economy
Neural Computation
Field review: Complex systems: Network thinking
Artificial Intelligence
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Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
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Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
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A market-based algorithm is presented which autonomously apportionscomplex tasks to multiple cooperating agents giving each agent the motivation of improving performance of the whole system.A specific model, called “The Hayek Machine” is proposed and tested ona simulated Blocks World (BW) planning problem. Hayek learns to solvemore complex BW problems than any previous learning algorithm. Given intermediate reward and simple features, it has learned to efficiently solve arbitrary BWproblems. The Hayek Machine can also be seen as a model of evolutionary economics.