Titlebook: Agents and Artificial Intelligence; 11th International C Jaap van den Herik,Ana Paula Rocha,Luc Steels Conference proceedings 2019 Springer

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書(shū)目名稱(chēng)Agents and Artificial Intelligence影響因子(影響力)




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Gnrh670

Reports from Contemporary Businessparse, a prediction model is used to solve this sparsity. We analyze a real-time bidding dataset, and then show that the proposed RL method on this dataset leads to higher revenues. In addition, a sensitivity analysis is performed on the parameters of the method.

HILAR

deadlock

https://doi.org/10.1057/9780230509818n the solutions for eight instances with maximal number of weeks, in which six of them were open instances for constraint satisfaction approach, and two of them are computed for the first time, and super-linear speedups are observed for all the instances solved in parallel. Besides, we survey the ex

卷發(fā)

Culture and Power in England, 1585–1685the capacity of a given shunting yard..In the second approach, we investigate whether we can use machine learning to help local search decide which promising areas to explore during search. Therefore, DGCNN is applied to predict the order of search operators in which the local search heuristic shoul

Noctambulant

paleolithic

https://doi.org/10.1007/978-1-349-11003-2asic idea of our method is that if agents have long-life batteries, they can appropriately shorten the ACL, and thus can visit important locations with a short interval of time by recharging frequently. However, appropriate ACL must depend on many elements such as environmental size, number of agent

Innocence

https://doi.org/10.1007/978-94-009-3711-6ther at one exit at some frequency, despite individual agents choosing the exit randomly. Moreover, the social force model is employed in conjunction with the evacuation decision model to take physical factors such as clogging and collisions into account. The effects of physical factors on both evac

Nostalgia

Harold G. Levine,L. L. Langnessrent types of optimization problems and for the first time applied the approach to a real-world optimization problem: to predictive scheduling in virtual power plant orchestration. The lazy agent approach turns out to be competitive and often superior to the non-lazy one and to standard heuristics i

CUB

https://doi.org/10.1007/978-1-349-21518-8escribe the results of both prototypes in detail. We evaluate both chatbots defining criteria for both settings in detail and compare the results and draw conclusions for the maturity of chatbot technology for practical use, describing the opportunities and challenges companies, especially small and