標(biāo)題: Titlebook: Agents and Artificial Intelligence; Third International Joaquim Filipe,Ana Fred Conference proceedings 2013 Springer-Verlag Berlin Heidelb [打印本頁] 作者: 呻吟 時(shí)間: 2025-3-21 19:32
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: ear-canal 時(shí)間: 2025-3-21 20:48 作者: 遭遇 時(shí)間: 2025-3-22 02:46 作者: 玉米棒子 時(shí)間: 2025-3-22 07:05
A Time-Varying Model to Simulate a Collective Decisional Problem the debate the conviction and the preference of each agent can change under the involved social influences..The theoretical model of this paper is presented in [7], and the influence model is the one presented in [3]. The aims is to present a new dynamical model for collective decisional problems. 作者: Affiliation 時(shí)間: 2025-3-22 09:22
Setting Up Particle Swarm Optimization by Decision Tree Learning Out of Function Features used to identify adequate parameter settings for Particle Swarm Optimization (PSO). The function features describe different characteristics of the fitness landscape of the underlying function. We distinguish between three types of features: The first type provides a short overview of the whole sea作者: 戲法 時(shí)間: 2025-3-22 15:16 作者: Buttress 時(shí)間: 2025-3-22 18:57 作者: floaters 時(shí)間: 2025-3-22 21:47 作者: 障礙 時(shí)間: 2025-3-23 04:42 作者: 陪審團(tuán) 時(shí)間: 2025-3-23 09:21 作者: Frequency 時(shí)間: 2025-3-23 10:04
Symbolic State-Space Exploration and Guard Generation in Supervisory Control Theorynt such that given specifications is fulfilled. The main obstacle which prevents SCT from having a major industrial breakthrough is that the supervisory synthesis, consisting of a series of reachability tasks, suffers from the state-space explosion problem. To alleviate this problem, a well-known st作者: Adulterate 時(shí)間: 2025-3-23 14:15
Developing Goal-Oriented Normative Agents: The NBDI Architecture to do and by stating stimulus to their fulfillment such as rewards and discouraging their violation by pointing out punishments. In this paper we propose the NBDI architecture to develop goal-oriented normative agents whose priority is the accomplishment of their own desires while evaluate the pros作者: MIME 時(shí)間: 2025-3-23 18:41
Evaluation of Environment Contextual Services in Multiagent Systems environment and the effects of their actions are observed and evaluated through this environment. The local complexity of the agents depends on its management of the interaction and action processes. If the environment carries out a part of this processes, the complexity of the agents is reduced. T作者: 諷刺滑稽戲劇 時(shí)間: 2025-3-23 23:49
Data Streams Classification: A Selective Ensemble with Adaptive Behaviorsmartphones and sensor networks, related to communication services introduces new challenges in the analysis of streaming data. The latter requires the use of approaches that require little time and space to process a single item, providing an accurate representation of only relevant data characteri作者: Aboveboard 時(shí)間: 2025-3-24 02:22 作者: 浮夸 時(shí)間: 2025-3-24 06:59
Web Service Composition Plans in OWL-Sf complex tasks. One of the approaches used in the past in order to automatically construct composite web services has been AI planning. The most important advantage of this approach is its dynamic character that reduces the interference of the user. Although there have been various attempts to util作者: 送秋波 時(shí)間: 2025-3-24 13:57 作者: CANT 時(shí)間: 2025-3-24 17:00 作者: reaching 時(shí)間: 2025-3-24 21:02 作者: GUILT 時(shí)間: 2025-3-25 02:50
Cultural Work and Higher Education. We do . focus on how well the measured cross-validation outcome estimates the generalization error or how far it is from the training error; instead, we want to make statements about the cross-validation result without actually measuring it. In particular we want to state probabilistically what .-作者: PON 時(shí)間: 2025-3-25 06:44 作者: 駁船 時(shí)間: 2025-3-25 11:27
https://doi.org/10.1057/9781137013941 used to identify adequate parameter settings for Particle Swarm Optimization (PSO). The function features describe different characteristics of the fitness landscape of the underlying function. We distinguish between three types of features: The first type provides a short overview of the whole sea作者: arbovirus 時(shí)間: 2025-3-25 13:58
Cultural Work and Higher Education different sequences of actions. Prior work has investigated formulating the problem as a Markov decision process, discretizing the state space, and solving for the optimal strategy using dynamic programming. Experiments have shown that such an approach can be very effective, but scaling to higher-d作者: 花束 時(shí)間: 2025-3-25 19:31
Cultural Work and Higher Educationerful Bayesian method utilizing Markov chain Monte Carlo model composition approach using restricted spaces is developed for identifying epistatic effects in Recombinant Inbred Lines (RIL) in plant studies. This method produces both posterior activation probabilities and posterior conditional activa作者: CROAK 時(shí)間: 2025-3-25 23:18
Cultural Work and Higher Education usually depend on multiple criteria. We argue that the criteria by which outcomes are evaluated should be the satisfaction of a person’s underlying interests: the more an outcome satisfies his interests, the more preferred it is. Underlying interests can explain and eliminate conditional preference作者: 受傷 時(shí)間: 2025-3-26 00:18
https://doi.org/10.1057/9781137478290n. One of the most common problems in this field is the time complexity of algorithms. Reducing the time of processing is particularly important due to constantly growing size of present databases. Granular computing (GrC) techniques create and/or process data portions, called granules, identified w作者: 沙漠 時(shí)間: 2025-3-26 06:27
Ethnicity (Not Race) and Belonging,ch as virtual assistants, and others aim at simulation of human behavior, such as games or robotics. Most of these applications require not only some level of intelligent behavior, but also a display of realistic human behavior. This has led to the definition and use of models that integrate feature作者: 協(xié)迫 時(shí)間: 2025-3-26 08:51
Early Contacts Between Bali and Indiant such that given specifications is fulfilled. The main obstacle which prevents SCT from having a major industrial breakthrough is that the supervisory synthesis, consisting of a series of reachability tasks, suffers from the state-space explosion problem. To alleviate this problem, a well-known st作者: 烤架 時(shí)間: 2025-3-26 15:12
Early Contacts Between Bali and India to do and by stating stimulus to their fulfillment such as rewards and discouraging their violation by pointing out punishments. In this paper we propose the NBDI architecture to develop goal-oriented normative agents whose priority is the accomplishment of their own desires while evaluate the pros作者: 刺穿 時(shí)間: 2025-3-26 20:04
https://doi.org/10.1007/978-981-10-7317-5 environment and the effects of their actions are observed and evaluated through this environment. The local complexity of the agents depends on its management of the interaction and action processes. If the environment carries out a part of this processes, the complexity of the agents is reduced. T作者: voluble 時(shí)間: 2025-3-27 00:07 作者: mendacity 時(shí)間: 2025-3-27 05:04 作者: 阻礙 時(shí)間: 2025-3-27 07:57
Early Contacts Between Bali and Indiaf complex tasks. One of the approaches used in the past in order to automatically construct composite web services has been AI planning. The most important advantage of this approach is its dynamic character that reduces the interference of the user. Although there have been various attempts to util作者: FISC 時(shí)間: 2025-3-27 11:51 作者: 控制 時(shí)間: 2025-3-27 17:07
Agents and Artificial Intelligence978-3-642-29966-7Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 指令 時(shí)間: 2025-3-27 21:48
Guadalupe álvarez,Hilda Difabio de Anglat to provide incentives to do so. I survey several approaches to eliciting truthful information, in particular scoring rules, peer prediction methods and opinion polls, and discuss possible applications.作者: formula 時(shí)間: 2025-3-27 22:58 作者: Bricklayer 時(shí)間: 2025-3-28 05:40
Communications in Computer and Information Sciencehttp://image.papertrans.cn/a/image/151218.jpg作者: 西瓜 時(shí)間: 2025-3-28 07:14 作者: 愛社交 時(shí)間: 2025-3-28 13:29
Conference proceedings 2013 ICAART 2011, held in Rome, Italy, in January 2011.The 26 revised full papers presented together with two invited paper were carefully reviewed and selected from 367 submissions. The papers are organized in two topical sections on artificial intelligence and on agents.作者: 束縛 時(shí)間: 2025-3-28 15:56
https://doi.org/10.1007/978-3-642-29966-7data mining; multi-agent systems; particle swarm optimization; social network; wireless sensor networks; 作者: Prosaic 時(shí)間: 2025-3-28 19:34 作者: faculty 時(shí)間: 2025-3-29 01:47 作者: abnegate 時(shí)間: 2025-3-29 05:10 作者: Geyser 時(shí)間: 2025-3-29 07:53 作者: 亞麻制品 時(shí)間: 2025-3-29 14:36 作者: 消瘦 時(shí)間: 2025-3-29 19:38 作者: Cardiac 時(shí)間: 2025-3-29 23:03 作者: insincerity 時(shí)間: 2025-3-30 03:32
Evaluation of Environment Contextual Services in Multiagent Systems compare it to the execution of the same tasks inside the agents. The evaluation and comparison are done theoretically and empirically for communication and simulation. We also investigate the clustering of the agents in several environments.作者: 沙漠 時(shí)間: 2025-3-30 07:48 作者: 妨礙 時(shí)間: 2025-3-30 11:18
https://doi.org/10.1057/9781137013941r on the function. With these features it is possible to classify fitness functions and to identify a parameter set which leads to an equal or better optimization process compared to the standard parameter set for Particle Swarm Optimization.作者: Heterodoxy 時(shí)間: 2025-3-30 12:31
Cultural Work and Higher Educationuce the complexity of computing the optimal strategy in problems where only some of the dimensions of the problem are controllable. The approach is applied to aircraft collision avoidance where the system must recommend maneuvers to an imperfect pilot.作者: 殘酷的地方 時(shí)間: 2025-3-30 18:34
Ethnicity (Not Race) and Belonging,s, the reasoning on the emotional state of agents is only performed for the very next future, generating behavior that is myopic for middle or long term goals. In this paper, we propose instead a deliberative model based on automated planning that integrates all these features for long term reasoning.作者: 把…比做 時(shí)間: 2025-3-30 23:50
Setting Up Particle Swarm Optimization by Decision Tree Learning Out of Function Featuresr on the function. With these features it is possible to classify fitness functions and to identify a parameter set which leads to an equal or better optimization process compared to the standard parameter set for Particle Swarm Optimization.作者: Banquet 時(shí)間: 2025-3-31 01:25
Collision Avoidance Using Partially Controlled Markov Decision Processesuce the complexity of computing the optimal strategy in problems where only some of the dimensions of the problem are controllable. The approach is applied to aircraft collision avoidance where the system must recommend maneuvers to an imperfect pilot.作者: 輕浮女 時(shí)間: 2025-3-31 05:54 作者: 季雨 時(shí)間: 2025-3-31 09:58
Cultural Work and Higher Education SRM is acceptable in the sense that cross-validation, if performed, would probably indicate the same complexity. We consider a non-stratified variant of cross-validation, which is convenient for the main theorem.作者: BOAST 時(shí)間: 2025-3-31 16:27 作者: Bumble 時(shí)間: 2025-3-31 21:16
Early Contacts Between Bali and India desires and intentions, and decide to cope or not with the norms while dropping, retaining or adopting new intentions. The applicability of our approach is demonstrated through an non-combatant evacuation scenario implemented by using the Normative Jason platform.
