New PDF release: Adaptive Learning by Genetic Algorithms: Analytical Results

By Herbert Dawid

ISBN-10: 3642181422

ISBN-13: 9783642181429

ISBN-10: 3642621066

ISBN-13: 9783642621062

The indisputable fact that i've got the chance to provide a moment variation of this monograph is a hallmark for the turning out to be measurement of the group keen on agent-based computational economics. The fast advancements during this box make it very tough to maintain a quantity like this, that's in part dedicated to surveying the literature, modern. i've got performed my top to include the suitable new advancements during this revised variation however it is within the nature of this sort of paintings that the choice of fabric coated is biased via the authors own curiosity and his informational constraints. My apologies visit all researchers during this box whose paintings isn't really or now not accurately represented during this publication. along with the correction of a few mistakes and typos numerous additions were made. within the literature survey sections 2.4 (which used to be additionally reorganized) and 3.5 new fabric used to be extra. i've got additionally additional a brand new part in bankruptcy three which bargains with the query how good empirically saw phenomena may be defined by way of GA simulations. a brand new part in bankruptcy 6 offers a slightly broad research of the habit of a inhabitants GA within the framework of a sealed bid double public sale marketplace. additional minor additions and alterations have been made through the text.

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Extra resources for Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models

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After this tournament of "human" bidding strategies Rust, Palmer and Miller tried to find even better bidding strategies by using artificially intelligent agents. They represented each bidding strategy by a neural network. The neural networks were trained by competing against each other, but also by competing against other strategies. Overall there were 52 buyers and 52 sellers, where some of the buyers and some of the sellers were represented by neural networks. The simulations were done over a long period and showed that the neural network traders were only able to outperform Kaplan's strategy in the beginning of the simulation.

Fogel observes, therefore, that cooperation will reliably evolve in real world circumstances, if the reward of defection against cooperation is small relative to the net benefit of mutual cooperation. The strategies generated by the described procedure were in some cases quite complex and rather difficult to interpret. In cases where the payoff of mutual cooperation is large enough the machines evolve towards a cooperating population, but it may nevertheless happen that machines generated in two different such simulations will not cooperate when battling against each other.

Vriend [178] considers a decentralized market where some of the agents are producers and others consumers. 4 Some Applications of CI Methods in Economic Systems 35 cannot distinguish between producing and not producing agents in the market before they shop around. Since they can only visit one other agent a day visiting an agent who did not produce that period or has already sold all units causes dissatisfaction for that date. Thus, it is important for the consumers to have a good strategy on how to decide which agent to visit in some given period.

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Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models by Herbert Dawid


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