標(biāo)題: Titlebook: Adaptation and Learning in Multi-Agent Systems; IJCAI‘ 95 Workshop, Gerhard Wei?,Sandip Sen Conference proceedings 1996 Springer-Verlag Be [打印本頁] 作者: emanate 時(shí)間: 2025-3-21 16:28
書目名稱Adaptation and Learning in Multi-Agent Systems影響因子(影響力)
書目名稱Adaptation and Learning in Multi-Agent Systems影響因子(影響力)學(xué)科排名
書目名稱Adaptation and Learning in Multi-Agent Systems網(wǎng)絡(luò)公開度
書目名稱Adaptation and Learning in Multi-Agent Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Adaptation and Learning in Multi-Agent Systems被引頻次
書目名稱Adaptation and Learning in Multi-Agent Systems被引頻次學(xué)科排名
書目名稱Adaptation and Learning in Multi-Agent Systems年度引用
書目名稱Adaptation and Learning in Multi-Agent Systems年度引用學(xué)科排名
書目名稱Adaptation and Learning in Multi-Agent Systems讀者反饋
書目名稱Adaptation and Learning in Multi-Agent Systems讀者反饋學(xué)科排名
作者: 蓋他為秘密 時(shí)間: 2025-3-21 20:41 作者: 必死 時(shí)間: 2025-3-22 04:18
A framework for distributed reinforcement learning,978-981-10-7916-0作者: HAWK 時(shí)間: 2025-3-22 04:35
Evolving behavioral strategies in predators and prey,978-1-4612-2150-0作者: Prostatism 時(shí)間: 2025-3-22 12:29
A user-adaptive interface agency for interaction with a virtual environment,978-1-4020-2031-5作者: Synchronism 時(shí)間: 2025-3-22 14:38
On multiagent Q-learning in a semi-competitive domain,978-3-662-62217-9作者: probate 時(shí)間: 2025-3-22 18:11 作者: Terrace 時(shí)間: 2025-3-22 22:22 作者: 無可非議 時(shí)間: 2025-3-23 05:01
,Learn your opponent’s strategy (in polynomial time)!,nd monitoring approaches to scientifically assess the impact of mutlifunctional land use implementation. The book contributes to the scientific basis for future land development strategies and helps supporting 978-3-642-07184-3978-3-540-36763-5作者: Confound 時(shí)間: 2025-3-23 06:15 作者: 饒舌的人 時(shí)間: 2025-3-23 10:18 作者: Glycogen 時(shí)間: 2025-3-23 15:23
Gisela Gross,Gerd Huber,Maria Linzbeing effective and efficient transportation of goods and personnel for both routine operations and unforeseen contingencies. The global communication system offered by the LEO satellites would be used to track shipment status and continually update the shared intermodal knowledge base.作者: dysphagia 時(shí)間: 2025-3-23 21:06 作者: 貪婪的人 時(shí)間: 2025-3-24 01:03
,Buchführung und Jahresabschluss,e on whether or not to help another agent. We present experimental results to show that agents using this probabilistic reciprocity scheme can both approach optimal global behavior and resist exploitation by selfish agents. Thus the reciprocation scheme is found to be both efficient and stable and a作者: Myocyte 時(shí)間: 2025-3-24 03:14 作者: Delectable 時(shí)間: 2025-3-24 06:44 作者: anchor 時(shí)間: 2025-3-24 14:11 作者: 責(zé)怪 時(shí)間: 2025-3-24 16:08 作者: Repetitions 時(shí)間: 2025-3-24 22:26 作者: Flirtatious 時(shí)間: 2025-3-25 01:39 作者: contradict 時(shí)間: 2025-3-25 04:12
Conference proceedings 1996ral agents have to cooperate or compete. Also included, and aimed at the novice reader, are a comprehensive introductory survey on the area with 154 references listed and a subject index. As the first book solely devoted to this area, this volume documents the state of the art and is thus indispensable for anyone active or interested in the field.作者: cumber 時(shí)間: 2025-3-25 10:26
BRST Symmetry in Constrained Systems,iteria for characterizing single-agent and multi-agent learning as the two principal categories of learning in multiagent systems. In the second section, “Bibliography”, an extensive list of pointers to relevant and related work on multi-agent learning done in (Distributed) Artificial Intelligence, economics, and other disciplines is provided.作者: FLAT 時(shí)間: 2025-3-25 14:11
BRST Symmetry and de Rham Cohomologyrategy. First, we describe how an agent should find an optimal strategy against a given model. Second, we present a heuristic algorithm that infers a model of the opponent‘s automaton from its input/output behavior. A set of experiments that show the potential merit of the algorithm is reported as well.作者: 驕傲 時(shí)間: 2025-3-25 18:09 作者: inflate 時(shí)間: 2025-3-25 22:13
The Buyographics of Health Care,lemented in a flexible manufacturing system where sensors (modeled as agents) have to learn to communicate with humans about the material handling activities using graphical actions such as displays and animation.作者: 無政府主義者 時(shí)間: 2025-3-26 03:01 作者: 追蹤 時(shí)間: 2025-3-26 05:49 作者: 解開 時(shí)間: 2025-3-26 08:29 作者: INCH 時(shí)間: 2025-3-26 14:09 作者: amyloid 時(shí)間: 2025-3-26 20:16
Khalid Al Marri,Farzana Mir,Aos Aljubooritivity of multiple agents. An epistemic utility based formulation is used to automatically generate the exemplars for learning, making the process unsupervised. The system has been developed in the context of a scientific computing scenario.作者: anchor 時(shí)間: 2025-3-27 00:12
Der Leistungserstellungsprozess,stricted two-agent model, in which agents are represented by finite automata, and one of the agents plays a fixed strategy. We show that even with this restrictions, the learning process may be exponential in time..We then suggest a criterion of simplicity, that induces a class of automata that are learnable in polynomial time.作者: chemical-peel 時(shí)間: 2025-3-27 03:27
BRST Symmetry in Constrained Systems, is intended to provide a compact, introductory and motivational guide to this topic. The article consists of two sections. In the first section,“Remarks”, the range and complexity of this topic is outlined by taking a general look at the concept of multi-agent systems and at the notion of adaptatio作者: 共棲 時(shí)間: 2025-3-27 08:53 作者: 熟練 時(shí)間: 2025-3-27 10:54
BRST Symmetry and de Rham Cohomology interactive strategy is a hard problem because it depends mostly on the behavior of the others. In this work, interaction among agents is represented as a repeated two-player game, where the agents‘ objective is to look for a strategy that maximizes their expected sum of rewards in the game. We ass作者: 主講人 時(shí)間: 2025-3-27 13:39 作者: limber 時(shí)間: 2025-3-27 19:05
https://doi.org/10.1007/978-3-642-71795-6e and strategic behavior. Agents that operate in dynamic environments could react to unexpected events by generalizing what they have learned during a training stage‘..In this paper, we propose several learning rules for agents in a multiagent environment. Each agent acts as the teacher of its partn作者: 不能妥協(xié) 時(shí)間: 2025-3-28 00:41
The Buyographics of Health Care,e interrelated tasks in a real-time environment. DRLM consists of a hidden task model (HTM) used for dealing with incomplete perception, a composite state model (CSM) for interdependency between tasks, and a .-learning subsystem (QLS) for updating action merit. In this paper, we also present a distr作者: 表被動(dòng) 時(shí)間: 2025-3-28 04:30 作者: Arable 時(shí)間: 2025-3-28 06:33 作者: 大猩猩 時(shí)間: 2025-3-28 13:09 作者: 浮夸 時(shí)間: 2025-3-28 16:26 作者: 舊石器時(shí)代 時(shí)間: 2025-3-28 20:48
Der Leistungserstellungsprozess,o, agents need to learn about those with whom they share the same world..This paper examines interactions among agents from a game theoretic perspective. In this context, learning has been assumed as a means to reach equilibrium. We analyze the complexity of this learning process. We start with a re作者: 反省 時(shí)間: 2025-3-29 01:52 作者: 亞麻制品 時(shí)間: 2025-3-29 05:30 作者: 大吃大喝 時(shí)間: 2025-3-29 11:13
,Buchführung und Jahresabschluss,y that a single agent will interact with a number of agents representing different preferences and interests. Whereas it is recognized that if all agents were cooperating, peak system performance can be realized, it is impractical to assume benevolence from an arbitrary group of agents. More realist作者: 暫時(shí)中止 時(shí)間: 2025-3-29 12:14
Adaptation and Learning in Multi-Agent Systems978-3-540-49726-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 虛情假意 時(shí)間: 2025-3-29 17:45
The Buyographics of Health Care,tegies for the predator agents. To further the utility of the predator strategies, the prey population is allowed to evolve at the same time. The expected competitive learning cycle did not surface. This failing is investigated, and a simple prey algorithm surfaces, which is consistently able to evade capture from the predator algorithms.作者: 令人心醉 時(shí)間: 2025-3-29 20:58 作者: CHIP 時(shí)間: 2025-3-30 03:44 作者: clarify 時(shí)間: 2025-3-30 05:20
978-3-540-60923-0Springer-Verlag Berlin Heidelberg 1996作者: 思想靈活 時(shí)間: 2025-3-30 08:23
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/144580.jpg作者: 蛛絲 時(shí)間: 2025-3-30 13:49
Adaptation and learning in multi-agent systems: Some remarks and a bibliography,ess, Whole Cells & Isolated Biocatalyst, Characterization of Biochemical Products and Cell Isolation & Culture. Its enable researchers to choose a suitable method and plan their experiments in details. ..The main focus of this book is to provide step by step method to young researchers, especially i作者: 戰(zhàn)勝 時(shí)間: 2025-3-30 17:10
Refinement in agent groups,l.Contains color figures and tables from real experiments toThis contributed volume, “Multifaceted Protocols in Biotechnology, Volume 2”, consists of multidisciplinary methods and techniques commonly used in biotechnology studies. There are two sections covered in this book – Ionic Liquid Related Te作者: NADIR 時(shí)間: 2025-3-31 00:46 作者: 碌碌之人 時(shí)間: 2025-3-31 02:57
