標(biāo)題: Titlebook: Autonomous Dynamic Reconfiguration in Multi-Agent Systems; Improving the Qualit Markus Hannebauer Book 2002 Springer-Verlag Berlin Heidelbe [打印本頁] 作者: ACID 時(shí)間: 2025-3-21 17:14
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems影響因子(影響力)
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems影響因子(影響力)學(xué)科排名
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems網(wǎng)絡(luò)公開度
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems被引頻次
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems被引頻次學(xué)科排名
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems年度引用
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems年度引用學(xué)科排名
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems讀者反饋
書目名稱Autonomous Dynamic Reconfiguration in Multi-Agent Systems讀者反饋學(xué)科排名
作者: 好忠告人 時(shí)間: 2025-3-21 23:24
978-3-540-44312-4Springer-Verlag Berlin Heidelberg 2002作者: Factual 時(shí)間: 2025-3-22 01:30 作者: Frequency 時(shí)間: 2025-3-22 06:56 作者: Mosaic 時(shí)間: 2025-3-22 10:14
Arnold L. Rosenberg,Lenwood S. Heatholve a problem at hand. A typical and successful resort is collaboration, which includes both delegation as well as cooperation. Collaboration is inevitably based on a distribution of problem solving knowledge, goals, resources and skills. This distribution is what we call . throughout this work. Th作者: Fibrinogen 時(shí)間: 2025-3-22 13:31 作者: Synapse 時(shí)間: 2025-3-22 18:15
Concurrent Reasoning with Inference Graphs,e the basic constraint [124] satisfaction and optimization problem model. We investigate equivalence, reducibility and extensibility relations on constraint problems, such make constraint problems comparable and derive a formulation of correctness and completeness of constraint processing approaches作者: FLING 時(shí)間: 2025-3-23 00:44 作者: ciliary-body 時(shí)間: 2025-3-23 04:24
Lecture Notes in Computer Science a reviewof the state of the art in this field and filtered by demands made by AuReCon, own contributions to the logical and physical foundations of agent communication and existence are detailed. They include general agent interaction protocols based on speech acts and modeled by algebraic Petri ne作者: 討厭 時(shí)間: 2025-3-23 06:34 作者: 周年紀(jì)念日 時(shí)間: 2025-3-23 11:38 作者: engagement 時(shí)間: 2025-3-23 17:09
Visualizing , Using Concept Diagrams this work. Based on the demands of the collaborative problem solving process and AuReCon, we briefly motivate the decision to deploy an off-the-shelf solver for solving internal constraint problems. The constraint problems fed into the solver are dynamically specified using a novel kind of architec作者: NIP 時(shí)間: 2025-3-23 19:36 作者: 評(píng)論性 時(shí)間: 2025-3-24 01:08 作者: ingrate 時(shí)間: 2025-3-24 02:47
Conference proceedings‘‘‘‘‘‘‘‘ 2021vantages and pitfalls, but mainly its improvement through autonomous dynamic reconfiguration. Autonomous dynamic reconfiguration is a complete technology dealing with two of the most common problems in collaborative problem solving — namely poor problem solving results and low efficiency due to high作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-24 09:29 作者: parallelism 時(shí)間: 2025-3-24 13:52 作者: Analogy 時(shí)間: 2025-3-24 17:07
3. Distributed Constraint Problems — A Model for Collaborative Problem Solvinge the basic constraint [124] satisfaction and optimization problem model. We investigate equivalence, reducibility and extensibility relations on constraint problems, such make constraint problems comparable and derive a formulation of correctness and completeness of constraint processing approaches作者: 一美元 時(shí)間: 2025-3-24 23:03 作者: 繞著哥哥問 時(shí)間: 2025-3-25 00:11
5. Multi-agent System Infrastructure a reviewof the state of the art in this field and filtered by demands made by AuReCon, own contributions to the logical and physical foundations of agent communication and existence are detailed. They include general agent interaction protocols based on speech acts and modeled by algebraic Petri ne作者: 物種起源 時(shí)間: 2025-3-25 06:19 作者: 好忠告人 時(shí)間: 2025-3-25 09:33 作者: 緯線 時(shí)間: 2025-3-25 11:59 作者: objection 時(shí)間: 2025-3-25 18:22
9. Controlling Agent Melting and Agent Splittinged to solve the AuReCon problem by realizing and controlling the AuReCon core concepts agent melting and agent splitting. We describe in detail the control input and its suitable representation, efficient control decisions, which are optimal in controlling agent splitting and adaptive in controlling作者: 透明 時(shí)間: 2025-3-25 21:47
10. Evaluationapproach should pursue. We present means for evaluation, including test set generation, patient stream simulation and monitoring. Based on a detailed discussion of a realistic test scenario regarding the problem and system setup, we can report convincing results in functionality, quality and efficie作者: 碎石 時(shí)間: 2025-3-26 00:18
11. Conclusion and Future Workvantages and pitfalls, but mainly its improvement through autonomous dynamic reconfiguration. Autonomous dynamic reconfiguration is a complete technology dealing with two of the most common problems in collaborative problem solving — namely poor problem solving results and low efficiency due to high作者: Benign 時(shí)間: 2025-3-26 07:28
Concurrent Reasoning with Inference Graphs,blem elements and leads to a completely technical understanding of agents as equivalence class representatives. Finally, we present a case study in medical appointment scheduling that will be used throughout this work.作者: 作繭自縛 時(shí)間: 2025-3-26 10:09 作者: 吞噬 時(shí)間: 2025-3-26 16:19 作者: 禮節(jié) 時(shí)間: 2025-3-26 20:30 作者: 淺灘 時(shí)間: 2025-3-27 00:44
0302-9743 ing. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved. ..The author provides a sound theoretical fou作者: Insatiable 時(shí)間: 2025-3-27 01:30 作者: 嘮叨 時(shí)間: 2025-3-27 05:36
5. Multi-agent System Infrastructuregent communication and existence are detailed. They include general agent interaction protocols based on speech acts and modeled by algebraic Petri nets, a scalable system architecture built up from socalled . and a brief discussion of suitable off-the-shelf technology for multi-agent system infrastructure.作者: 打包 時(shí)間: 2025-3-27 11:30
Concurrent Reasoning with Inference Graphs,analysis we investigate the properties of this concept, namely its relation to the structure of the AuReCon problem, its impact on the underlying collaborative problem solving process and its sufficiency to solve the AuReCon problem. In addition, we investigate concurrency and autonomy issues in AuReCon.作者: Habituate 時(shí)間: 2025-3-27 15:19 作者: obviate 時(shí)間: 2025-3-27 18:38
Book 2002e constraint specification architecture for internal problem solving...The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study..作者: 類似思想 時(shí)間: 2025-3-28 01:19
Book 2002work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved. ..The author provides a sound theoretical foundation of作者: gentle 時(shí)間: 2025-3-28 02:15
2. Basics of Collaborative Problem Solvingbuted constraint technology” as a junction of “constraint technology” and “agent technology”. In addition, we discuss pitfalls of collaborative problem solving and introduce autonomous dynamic reconfiguration as a means to improve it.作者: intelligible 時(shí)間: 2025-3-28 08:58 作者: Axillary 時(shí)間: 2025-3-28 12:38
7. Composable BDI Agentsthat operates on the mental components only via abstract domain-independent interfaces. An in-depth discussion on the use of composable BDI agents in our case study of medical appointment scheduling does not only reveal the expressive power of the architecture but also its conceptual beauty in respect to dynamic recon.guration.作者: 軟膏 時(shí)間: 2025-3-28 16:17
9. Controlling Agent Melting and Agent Splitting agent melting, as well as safe and effective control actions to enact the control decisions. Representation, decision making and enactment are fully integrated into the composable BDI agent architecture and prove their conceptual usefulness in the context of our case study in medical appointment scheduling.作者: 修剪過的樹籬 時(shí)間: 2025-3-28 21:43
10. Evaluationncy, which show that autonomous dynamic reconfiguration is very successful in practically improving collaborative problem solving and leads to a problem solving process that can even keep up with central approaches in quality while being more efficient.作者: 看法等 時(shí)間: 2025-3-29 01:36
Applications of Graph Separators,buted constraint technology” as a junction of “constraint technology” and “agent technology”. In addition, we discuss pitfalls of collaborative problem solving and introduce autonomous dynamic reconfiguration as a means to improve it.作者: 注射器 時(shí)間: 2025-3-29 04:46 作者: 擦掉 時(shí)間: 2025-3-29 08:20
https://doi.org/10.1007/978-3-319-78102-0that operates on the mental components only via abstract domain-independent interfaces. An in-depth discussion on the use of composable BDI agents in our case study of medical appointment scheduling does not only reveal the expressive power of the architecture but also its conceptual beauty in respect to dynamic recon.guration.作者: 符合規(guī)定 時(shí)間: 2025-3-29 14:42 作者: Hearten 時(shí)間: 2025-3-29 18:13 作者: pineal-gland 時(shí)間: 2025-3-29 22:54 作者: cornucopia 時(shí)間: 2025-3-30 02:32 作者: V切開 時(shí)間: 2025-3-30 07:23 作者: persistence 時(shí)間: 2025-3-30 10:55
