派博傳思國(guó)際中心

標(biāo)題: Titlebook: Agents and Artificial Intelligence; 6th International Co Béatrice Duval,Jaap van den Herik,Joaquim Filipe Conference proceedings 2015 Sprin [打印本頁(yè)]

作者: 從未迷惑    時(shí)間: 2025-3-21 18:11
書(shū)目名稱(chēng)Agents and Artificial Intelligence影響因子(影響力)




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




書(shū)目名稱(chēng)Agents and Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Agents and Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Agents and Artificial Intelligence被引頻次




書(shū)目名稱(chēng)Agents and Artificial Intelligence被引頻次學(xué)科排名




書(shū)目名稱(chēng)Agents and Artificial Intelligence年度引用




書(shū)目名稱(chēng)Agents and Artificial Intelligence年度引用學(xué)科排名




書(shū)目名稱(chēng)Agents and Artificial Intelligence讀者反饋




書(shū)目名稱(chēng)Agents and Artificial Intelligence讀者反饋學(xué)科排名





作者: 事物的方面    時(shí)間: 2025-3-21 21:29

作者: 寄生蟲(chóng)    時(shí)間: 2025-3-22 02:22

作者: pantomime    時(shí)間: 2025-3-22 06:22
Behavior Clustering and Explicitation for the Study of Agents’ Credibility: Application to a Virtualdibility and make their behaviors explicit by comparing human behaviors to agent ones according to user categories and annotations. Our method is applied to the study of virtual driver simulation through an immersive driving simulator.
作者: Isolate    時(shí)間: 2025-3-22 11:21
https://doi.org/10.1057/978-1-349-95038-6d exploitation, and the approximate linear dependency based kernel sparsification method to select basis functions automatically. We compare between online kernel-based LSPI and online LSPI on 5 discrete Markov decision problems, where online kernel-based LSPI outperforms online LSPI according to the optimal policy performance.
作者: 高度表    時(shí)間: 2025-3-22 14:05
Jonathan Spangler,Timothy Spanglern when the image stream is obtained using a (slightly modified) low-cost web camera with low resolution. For typical images obtained this way, a standard OCR reader is capable of reading the binarized images, detecting around 87.5?% of all words without any error, and with mostly minor, correctable errors for the remaining words.
作者: 會(huì)議    時(shí)間: 2025-3-22 19:30

作者: IST    時(shí)間: 2025-3-22 22:00
Janne Saarikivi,Reetta Toivanens complex and more intuitive theory than subsequent algorithms. We show that with a small modification the algorithm is transformed from pseudo-polynomial to . which makes it still useful. We also discuss a change reducing the amount of work performed by the algorithm.
作者: Genetics    時(shí)間: 2025-3-23 02:35
Knowledge Gradient for Online Reinforcement Learningd exploitation, and the approximate linear dependency based kernel sparsification method to select basis functions automatically. We compare between online kernel-based LSPI and online LSPI on 5 discrete Markov decision problems, where online kernel-based LSPI outperforms online LSPI according to the optimal policy performance.
作者: 割讓    時(shí)間: 2025-3-23 08:05

作者: dyspareunia    時(shí)間: 2025-3-23 13:18

作者: 俗艷    時(shí)間: 2025-3-23 17:14

作者: shrill    時(shí)間: 2025-3-23 19:49

作者: DEFT    時(shí)間: 2025-3-24 02:12

作者: Inveterate    時(shí)間: 2025-3-24 03:02

作者: 逗留    時(shí)間: 2025-3-24 07:43
Conference proceedings 2015ICAART 2014, held in Angers, France, in March 2014.. The 21 revised full papers presented together with one invited paper were carefully reviewed and selected from 225 submissions. The papers are organized in two topical sections on agents and on artificial intelligence..
作者: Pedagogy    時(shí)間: 2025-3-24 11:30
0302-9743 nce on Agents and Artificial Intelligence, ICAART 2014, held in Angers, France, in March 2014.. The 21 revised full papers presented together with one invited paper were carefully reviewed and selected from 225 submissions. The papers are organized in two topical sections on agents and on artificial
作者: 按時(shí)間順序    時(shí)間: 2025-3-24 15:57
https://doi.org/10.1007/978-3-319-25210-0ant colony optimization; data mining; image processing; machine learning; multi-agent systems; agent-base
作者: 干旱    時(shí)間: 2025-3-24 22:33
978-3-319-25209-4Springer International Publishing Switzerland 2015
作者: 陰郁    時(shí)間: 2025-3-24 23:38

作者: 震驚    時(shí)間: 2025-3-25 04:44

作者: GIST    時(shí)間: 2025-3-25 10:13
New Directions in Cultural Policy Researche applications achieve usability by maintaining a simple correspondence between user goals and interface elements such as menu items or icons. But we are entering an era of high-functionality applications, where there may be hundreds or thousands of possible operations. In contexts like mobile phone
作者: 預(yù)定    時(shí)間: 2025-3-25 13:09

作者: 罵人有污點(diǎn)    時(shí)間: 2025-3-25 17:10
In Pursuit of Creativity in CCIsrrelated markets with its main players and considering detailed data, agent-based models have already provided valuable insights in related research questions, e.g. about adequate regulatory frameworks. In this paper, an agent-based model with an application to the German and French market area is p
作者: 評(píng)論者    時(shí)間: 2025-3-25 21:22
The Rise of CCIs: Setting the Scene,communication networks, and the controlling algorithm is based on the pheromone communication of social insects such as ants. Unlike traditional pheromone based cooperative transportation, we have implemented the pheromone as mobile software agents that control the mobile robots corresponding to the
作者: cluster    時(shí)間: 2025-3-26 00:31

作者: Vo2-Max    時(shí)間: 2025-3-26 07:16

作者: outer-ear    時(shí)間: 2025-3-26 11:45

作者: Anal-Canal    時(shí)間: 2025-3-26 15:10

作者: 提名    時(shí)間: 2025-3-26 16:48
Jonathan Spangler,Timothy Spanglerages (referred to as .). A method developed previously has been applied successfully to images with artificially added noise. Here, an improved method is presented, in which the user has more direct control over the specification of the binarizer. The resulting system is then taken a step further, b
作者: 缺乏    時(shí)間: 2025-3-26 20:57

作者: 手勢(shì)    時(shí)間: 2025-3-27 01:51

作者: BRUNT    時(shí)間: 2025-3-27 06:03
Janne Saarikivi,Reetta Toivanenld be able to work in real time adjusting its controlling parameters, even its structures, when knowledge arrives. In a previous work, the authors proposed an online learning method for two-layer feedforward neural networks which is able to incorporate new hidden neurons during learning without losi
作者: intuition    時(shí)間: 2025-3-27 12:20

作者: PALMY    時(shí)間: 2025-3-27 16:55
Fallen Ill in Political Draughtst is able to deliberate about what action to do next having only three main mental states: belief, desires and intentions. A BDI agent should be able to choose the more rational action to be done with bounded resources and incomplete knowledge in an acceptable time. As humans need emotions to make i
作者: 狗窩    時(shí)間: 2025-3-27 20:17

作者: Eclampsia    時(shí)間: 2025-3-28 01:57

作者: Acumen    時(shí)間: 2025-3-28 05:08
Agents and Artificial Intelligence978-3-319-25210-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 低位的人或事    時(shí)間: 2025-3-28 07:37
Conference proceedings 2015ICAART 2014, held in Angers, France, in March 2014.. The 21 revised full papers presented together with one invited paper were carefully reviewed and selected from 225 submissions. The papers are organized in two topical sections on agents and on artificial intelligence..
作者: 低位的人或事    時(shí)間: 2025-3-28 11:43
The New Era of High-Functionality Interfacese applications achieve usability by maintaining a simple correspondence between user goals and interface elements such as menu items or icons. But we are entering an era of high-functionality applications, where there may be hundreds or thousands of possible operations. In contexts like mobile phone
作者: thalamus    時(shí)間: 2025-3-28 17:46

作者: 橡子    時(shí)間: 2025-3-28 21:19
Agent-Based Simulation of Interconnected Wholesale Electricity Markets: An Application to the Germanrrelated markets with its main players and considering detailed data, agent-based models have already provided valuable insights in related research questions, e.g. about adequate regulatory frameworks. In this paper, an agent-based model with an application to the German and French market area is p
作者: grieve    時(shí)間: 2025-3-28 23:11
Cooperative Transportation Using Pheromone Agentscommunication networks, and the controlling algorithm is based on the pheromone communication of social insects such as ants. Unlike traditional pheromone based cooperative transportation, we have implemented the pheromone as mobile software agents that control the mobile robots corresponding to the
作者: SNEER    時(shí)間: 2025-3-29 03:24
Design and Simulation of a Low-Resource Processing Platform for Mobile Multi-agent Systems in Districe nodes is presented, providing a unique distributed programming model and enhanced robustness of the entire heterogeneous environment in the presence of node, sensor, link, data processing, and communication failures. In this work multi-agent systems with mobile activity-based agents are used for
作者: sclera    時(shí)間: 2025-3-29 07:20
Behavior Clustering and Explicitation for the Study of Agents’ Credibility: Application to a Virtualn a quantitative data collection from both humans and agents simulation logs during an experiment. These data allow us to semi-automatically extract behavior clusters. In order to obtain explicit information about the behaviors, we analyze questionnaires filled by the users and annotations filled by
作者: 宣傳    時(shí)間: 2025-3-29 13:06

作者: 青春期    時(shí)間: 2025-3-29 19:06
Statistical Response Method and Learning Data Acquisition using Gamified Crowdsourcing for a Non-tasthod. The method prepares candidate utterances in advance. From the data, it learns which utterances are suitable for context. Therefore, a dialogue agent constructed using our method automatically selects a suitable utterance depending on a context from candidate utterances. This paper also propose
作者: Instinctive    時(shí)間: 2025-3-29 22:15

作者: 變白    時(shí)間: 2025-3-30 03:15

作者: 上坡    時(shí)間: 2025-3-30 04:07
New Techniques for Checking Dynamic Controllability of Simple Temporal Networks with Uncertaintytain—but bounded—durations. The most important property of an STNU is whether it is dynamically controllable (DC)—that is, whether there exists a strategy for executing its time-points such that all constraints will necessarily be satisfied no matter how the uncertain durations turn out. Algorithms
作者: exceed    時(shí)間: 2025-3-30 08:53

作者: 殺死    時(shí)間: 2025-3-30 12:52
Towards the Identification of Outliers in Satellite Telemetry Data by Using Fourier Coefficientsored by engineers, who capture the outliers and determine whether the situation is abnormal or not. However, due to the large quantity of information, only a small part of the data is being processed or used to perform anomaly early detection. A common accepted research concept for anomaly predictio
作者: 折磨    時(shí)間: 2025-3-30 18:46
A Probabilistic Approach to Represent Emotions Intensity into BDI Agentst is able to deliberate about what action to do next having only three main mental states: belief, desires and intentions. A BDI agent should be able to choose the more rational action to be done with bounded resources and incomplete knowledge in an acceptable time. As humans need emotions to make i
作者: Discrete    時(shí)間: 2025-3-30 23:31
Revisiting Classical Dynamic Controllability: A Tighter Complexity Analysis nature), as is often the case for actions in planning. It is essential to verify that such networks are dynamically controllable (DC) – executable regardless of the outcomes of uncontrollable durations – and to convert them to an executable form. We use insights from incremental DC verification alg
作者: Asseverate    時(shí)間: 2025-3-31 04:13

作者: 艱苦地移動(dòng)    時(shí)間: 2025-3-31 06:25
The New Era of High-Functionality Interfacesw interaction modalities like natural language, speech, gesture, vision, and multi-modal interfaces can extend the interface vocabulary. End-user programming can rethink the computer as a collection of capabilities to be composed on the fly rather than a set of predefined “applications”. We also nee




歡迎光臨 派博傳思國(guó)際中心 (http://www.pjsxioz.cn/) Powered by Discuz! X3.5
库尔勒市| 含山县| 文昌市| 安岳县| 康乐县| 容城县| 贞丰县| SHOW| 许昌县| 龙井市| 龙山县| 铁力市| 台中县| 宜川县| 文安县| 奇台县| 五指山市| 沈丘县| 阿巴嘎旗| 平武县| 鹿泉市| 诸暨市| 太湖县| 侯马市| 绥江县| 梅河口市| 天全县| 衡阳县| 称多县| 友谊县| 松潘县| 舞钢市| 恩平市| 武强县| 鹤岗市| 普兰店市| 虞城县| 茶陵县| 砚山县| 庆阳市| 大厂|