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Titlebook: Artificial Life and Computational Intelligence; First Australasian C Stephan K. Chalup,Alan D. Blair,Marcus Randall Conference proceedings

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Egbert Brieskorn,Walter Purkertsted using an approximation of user feedback based on the goal of learning the nursery rhymes . and .. We show that a large reduction in learning times can be achieved through a combination of adaptive parameters and random restarts to ensure policy convergence.
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Egbert Brieskorn,Walter Purkerts, at any point in time can decide to perform a macro-action made out of many primitive actions rather than a primitive action. Such macro-actions can be hand-crafted or learned. There has been previous work on learning them by exploring the environment. Here we take a different perspective and pres
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Gamification for Education: Designing a Pharmacy Education Game examines a traditional model of usability in terms of engagement and efficacy, presenting the results obtained from a formative evaluation of a serious game prototype that has been developed to assist in pharmacy education.
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Conference proceedings 2015ld in Newcastle, NSW, Australia, in February 2015. The 34 revised full papers presented were carefully reviewed and selected from 63 submissions. The papers are organized in the following topical sections: philosophy and theory; game environments and methods; learning, memory and optimization; and applications and implementations.
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https://doi.org/10.1007/978-3-319-14803-8agent-based modeling; artificial neural network; autonomous agents; case-based reasoning; classification
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978-3-319-14802-1Springer International Publishing Switzerland 2015
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