网络添麻烦 发表于 2025-3-25 06:01:12

978-1-4613-5290-7Springer Science+Business Media New York 2002

蕨类 发表于 2025-3-25 09:36:08

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品尝你的人 发表于 2025-3-25 15:06:39

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天空 发表于 2025-3-25 15:54:33

Der hocherhabene mystische Herrscherf anticipations in animals and man leads to the conclusion that it is mandatory to represent and learn anticipations also in animats. Furthermore, once this task is accomplished, it is necessary to investigate how the usefulness of anticipations can be exploited by the animat. The development of suc

eucalyptus 发表于 2025-3-25 20:51:45

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神刊 发表于 2025-3-26 01:43:58

Der hocherhabene mystische Herrscherent tasks showing that ACS2 is indeed capable of forming a generalized, complete model of an environment. Genetic generalization showed to be able to remedy the possibly occurring over-specializations in the ALP. The result was a decrease in population size and model size and a consequent decrease i

lactic 发表于 2025-3-26 04:44:39

Der hocherhabene mystische Herrscheraccurate model of an environment. While the experiments in chapter 3 mainly showed the performance of ACS2 in terms of its model and reinforcement learning capabilities, this chapter exhibits experiments in which performance is increased by exploiting the environmental model. Particularly, promising

Fluctuate 发表于 2025-3-26 09:25:17

Der hocherhabene mystische Herrscher of problems ranging from hard classification problems to big environmental tasks. The genetic generalization mechanism confirmed to be capable to further generalize the evolving environmental model working together with the directed specialization caused by an anticipatory learning process (ALP). S

的是兄弟 发表于 2025-3-26 13:40:27

Der hocherhabene mystische Herrschern-effect classifiers. That is, without any supervision, ACS2 is acting upon an environment and is forming a model of the encountered environment meanwhile. Although the interaction is unsupervised, the resulting state after the execution of an action can be viewed as a supervision, so that the model

财主 发表于 2025-3-26 17:57:48

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查看完整版本: Titlebook: Anticipatory Learning Classifier Systems; Martin V. Butz Book 2002 Springer Science+Business Media New York 2002 agents.algorithms.behavio