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標(biāo)題: Titlebook: Agents and Artificial Intelligence; 13th International C Ana Paula Rocha,Luc Steels,Jaap van den Herik Conference proceedings 2022 Springer [打印本頁]

作者: 方言    時間: 2025-3-21 17:56
書目名稱Agents and Artificial Intelligence影響因子(影響力)




書目名稱Agents and Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Agents and Artificial Intelligence網(wǎng)絡(luò)公開度




書目名稱Agents and Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Agents and Artificial Intelligence被引頻次




書目名稱Agents and Artificial Intelligence被引頻次學(xué)科排名




書目名稱Agents and Artificial Intelligence年度引用




書目名稱Agents and Artificial Intelligence年度引用學(xué)科排名




書目名稱Agents and Artificial Intelligence讀者反饋




書目名稱Agents and Artificial Intelligence讀者反饋學(xué)科排名





作者: INCUR    時間: 2025-3-21 20:15
Perspectives in Cultural-Historical Researchn to align with the specification. We evaluate our approach in a smart factory simulation representing an industrial lot-size-one production facility, where we train up to eight agents using DQN, VDN, and QMIX. Our results show that the proposed approach enables agents to satisfy a given set of requirements.
作者: saphenous-vein    時間: 2025-3-22 03:48

作者: GLUT    時間: 2025-3-22 06:00

作者: contrast-medium    時間: 2025-3-22 12:08
Specification Aware Multi-Agent Reinforcement Learningn to align with the specification. We evaluate our approach in a smart factory simulation representing an industrial lot-size-one production facility, where we train up to eight agents using DQN, VDN, and QMIX. Our results show that the proposed approach enables agents to satisfy a given set of requirements.
作者: 草率男    時間: 2025-3-22 15:12

作者: hypertension    時間: 2025-3-22 18:52

作者: FIS    時間: 2025-3-22 22:17

作者: Myelin    時間: 2025-3-23 03:16

作者: cloture    時間: 2025-3-23 08:24
https://doi.org/10.1007/978-3-319-46328-5The outcome, in a form of segmentation method with relatively low computational costs and great results, is integrated into the Porta fontium portal to improve its possibilities of searching and publication of the documents.
作者: wreathe    時間: 2025-3-23 11:50
https://doi.org/10.1007/978-3-319-46328-5ly give a visual interpretation of the logic-based argumentation, but also yields a human-understandable form. Finally, the paper wraps up the investigation’s result and formalizes a novel 2-Tier argumentation framework, that combines the advantages of both Toulmin’s model and the logic-based argumentation system.
作者: kindred    時間: 2025-3-23 17:10

作者: Intervention    時間: 2025-3-23 21:49

作者: verdict    時間: 2025-3-24 01:41

作者: 連接    時間: 2025-3-24 04:59
0302-9743 ce, ICAART 2021, which was held online during February 4–6, 2021..A total of 72 full and 99 short papers were carefully reviewed and selected for the conference from a total of 298 submissions; 17 selected full papers are included in this book. They were organized in topical sections named agents an
作者: Type-1-Diabetes    時間: 2025-3-24 08:16

作者: 命令變成大炮    時間: 2025-3-24 12:51
Informer: An Efficient Transformer Architecture Using Convolutional Layerson the development of a new architecture that seeks to reduce the memory consumption of the Transformer, meanwhile is able to achieve a SOTA result in two different datasets?[.] for the Neural Machine Translation (.) task.
作者: Mortal    時間: 2025-3-24 15:38
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/151222.jpg
作者: 反感    時間: 2025-3-24 21:56
https://doi.org/10.1007/978-3-031-10161-8agents; artificial intelligence; semantic web; multi-agent systems; distributed problem solving; agent co
作者: 粗糙濫制    時間: 2025-3-24 23:39

作者: 期滿    時間: 2025-3-25 07:01

作者: radiograph    時間: 2025-3-25 09:18

作者: 難管    時間: 2025-3-25 14:32

作者: 嗎啡    時間: 2025-3-25 19:02
Anne Edwards,Jessica Chan,Desmond Tanpropose a strategy based on cooperative agents used to optimize the rescheduling of tasks in multiple jobs which must be executed as soon as possible. It allows agents to determine locally the next tasks to process, to delegate, possibly to swap according to their knowledge, their own belief base an
作者: Facilities    時間: 2025-3-25 20:46

作者: 貧窮地活    時間: 2025-3-26 02:01

作者: Irrepressible    時間: 2025-3-26 04:44

作者: 沒血色    時間: 2025-3-26 12:14
https://doi.org/10.1007/978-3-319-46328-5ve aspects provide deeper insights into the impact of a scientific research artifact and make it possible to focus on relevant literature free from bias associated with quantitative aspects. Therefore, it is possible to rank and categorize papers based on their sentiment and intent. For this purpose
作者: GRIN    時間: 2025-3-26 15:02
https://doi.org/10.1007/978-3-319-46328-5ing style. As a result, it is possible to propose a differentiated pedagogy which takes into account learners’ needs. The aim of this research is to build course indicators by using expert knowledge in order to provide a synthesis of information about students. As knowledge is often imprecise and un
作者: 有花    時間: 2025-3-26 16:48
https://doi.org/10.1007/978-3-319-46328-5many scenarios. However, this is not the case in safety-critical scenarios, where the reinforcement learning process, which uses stochastic mechanisms, could lead to highly unsafe outcomes. We proposed a novel, safe multi-agent reinforcement learning approach named Assured Multi-Agent Reinforcement
作者: TRACE    時間: 2025-3-26 22:03
https://doi.org/10.1007/978-3-319-46328-5y published database that has precise pixel-level annotations in PAGE format but also utilise other datasets for transfer learning in order to improve the results. We discuss a series of experiments that evaluate possibilities how to train a neural model for image, text and background segmentation.
作者: set598    時間: 2025-3-27 03:22

作者: Fibroid    時間: 2025-3-27 05:59
https://doi.org/10.1057/978-1-137-53339-5d of Natural Language Processing (.). However, despite the advantages of this architecture, it has some negative factors, such as the high number of parameters it uses. That is why the use of this type of architecture can become expensive for research teams with limited resources. New variants have
作者: Dawdle    時間: 2025-3-27 10:59

作者: Magnificent    時間: 2025-3-27 15:15

作者: NOTCH    時間: 2025-3-27 21:07
Culture Change and the New Technologyugh there are several well-known outlier and novelty detection methods, it is difficult to find one that can effectively and simultaneously deal with both tasks across different data types. When studied in detail, outliers and novelties exhibit different characteristics. In this paper, we introduce
作者: Tartar    時間: 2025-3-27 23:17
Culture Change in Organizationsell quantities of tradeable assets, such as stocks and shares, currencies, and commodities; in the past two decades such robots have largely replaced human traders at the point of execution. This paper addresses the question of how to make minimally simple robot traders sensitive to any imbalance be
作者: 自作多情    時間: 2025-3-28 02:39

作者: AGGER    時間: 2025-3-28 10:07
https://doi.org/10.1007/978-3-322-91782-9 based on the mean and variance of travel time on them. One main objective is to minimize the running time of the overall procedure at query time, and hence the response time to the shortest-path queries are crucial. Agents are car drivers who are moving from one point to another point at different
作者: Pcos971    時間: 2025-3-28 10:53

作者: 阻礙    時間: 2025-3-28 18:22

作者: 出處    時間: 2025-3-28 20:53

作者: MEN    時間: 2025-3-28 23:49

作者: 過時    時間: 2025-3-29 06:59
Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimizach areas including automated negotiating agents and Distributed Constraint Optimization Problems (DCOPs). Although one of recent approaches for privacy preservation is applying secure computation to negotiation process, publishing some information during the negotiation is necessary in the cases whe
作者: 吊胃口    時間: 2025-3-29 07:24

作者: 暫時休息    時間: 2025-3-29 12:03

作者: 鄙視讀作    時間: 2025-3-29 18:01
Assured Deep Multi-Agent Reinforcement Learning for?Safe Robotic Systemsmany scenarios. However, this is not the case in safety-critical scenarios, where the reinforcement learning process, which uses stochastic mechanisms, could lead to highly unsafe outcomes. We proposed a novel, safe multi-agent reinforcement learning approach named Assured Multi-Agent Reinforcement
作者: finite    時間: 2025-3-29 21:02

作者: vocation    時間: 2025-3-30 02:38

作者: CUMB    時間: 2025-3-30 06:53
Informer: An Efficient Transformer Architecture Using Convolutional Layersd of Natural Language Processing (.). However, despite the advantages of this architecture, it has some negative factors, such as the high number of parameters it uses. That is why the use of this type of architecture can become expensive for research teams with limited resources. New variants have
作者: 包庇    時間: 2025-3-30 09:34
Improving the?Generalization of?Deep Learning Classification Models in?Medical Imaging Using Transfed patient privacy concerns. The training of deep neural network classification models on these data sets to improve the generalization ability does not produce the desired results for classifying the medical condition accurately and often overfit the data on the majority of class samples. To address
作者: 手術(shù)刀    時間: 2025-3-30 12:53

作者: Arb853    時間: 2025-3-30 18:59
A Tsetlin Machine Framework for?Universal Outlier and?Novelty Detectionugh there are several well-known outlier and novelty detection methods, it is difficult to find one that can effectively and simultaneously deal with both tasks across different data types. When studied in detail, outliers and novelties exhibit different characteristics. In this paper, we introduce
作者: aquatic    時間: 2025-3-30 23:24

作者: VOC    時間: 2025-3-31 03:40

作者: 遣返回國    時間: 2025-3-31 05:18

作者: 轉(zhuǎn)向    時間: 2025-3-31 11:20

作者: harpsichord    時間: 2025-3-31 16:29
https://doi.org/10.1007/978-3-319-46328-5iables. With the general formalization of DCOPs, there are opportunities to represent several classes of negotiation problems. We define several constraints for heuristic strategies that choose the utility values to be published in the next negotiation step. The criterion of social welfare to consid
作者: 誘使    時間: 2025-3-31 20:02
https://doi.org/10.1007/978-3-319-46328-5 results emphasize the use of different scheduling methods based on the use case. We empirically found that a model trained using sequential data scheduling is more suitable for domain-specific usecases. Conversely, shuffled data feeding achieves better performance on a cross-domain task. Based on o
作者: 不朽中國    時間: 2025-4-1 01:23
https://doi.org/10.1007/978-3-319-46328-5tation time. We compared our compiling approach with message passing inference. A decision support system is generated automatically at the end of the computations. The indicators are presented in a decision support system in which color codes illustrate certainty.
作者: 敲竹杠    時間: 2025-4-1 03:02





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