標題: Titlebook: Adaptive Agents and Multi-Agent Systems; Adaptation and Multi Eduardo Alonso,Daniel Kudenko,Dimitar Kazakov Conference proceedings 2003 Spr [打印本頁] 作者: POL 時間: 2025-3-21 18:39
書目名稱Adaptive Agents and Multi-Agent Systems影響因子(影響力)
書目名稱Adaptive Agents and Multi-Agent Systems影響因子(影響力)學(xué)科排名
書目名稱Adaptive Agents and Multi-Agent Systems網(wǎng)絡(luò)公開度
書目名稱Adaptive Agents and Multi-Agent Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Adaptive Agents and Multi-Agent Systems被引頻次
書目名稱Adaptive Agents and Multi-Agent Systems被引頻次學(xué)科排名
書目名稱Adaptive Agents and Multi-Agent Systems年度引用
書目名稱Adaptive Agents and Multi-Agent Systems年度引用學(xué)科排名
書目名稱Adaptive Agents and Multi-Agent Systems讀者反饋
書目名稱Adaptive Agents and Multi-Agent Systems讀者反饋學(xué)科排名
作者: 禁令 時間: 2025-3-21 21:58 作者: 巫婆 時間: 2025-3-22 01:03
Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systemshe mapping sciences and related geographical fields wishing to update their knowledge about current issues related to cartographic design and production. It provides a new avant-garde approach to cartography - one based on the exploitation of the many ‘rich media‘ components that multimedia offers.作者: 入會 時間: 2025-3-22 07:50 作者: Pillory 時間: 2025-3-22 10:03
Multiagent Learning for Open Systems: A Study in Opponent Classification focuses on systems issues in multimedia communications. Part II concentrates on video coding algorithms. Part III discusses the interplay between video coding and network control for video delivery over various channels.978-1-4613-8036-8978-1-4613-0403-6作者: nonsensical 時間: 2025-3-22 13:34
Stochastic Simulation of Inherited Kinship-Driven Altruism to multimedia support are still not well understood. This book reports on research efforts to solve some of these problems. An in- troductory knowledge of databases, and also of operating systems and network technology is assumed. The book is very suitable as material for courses at senior or graduate level,978-3-540-76109-9978-1-4471-0957-0作者: SENT 時間: 2025-3-22 20:43
Back Mattervelopments in digital signal processing, including evolutions in audiovisual signal processing, analysis, coding and authentication, and retrieval techniques...Designed for researchers and professionals, this book is also suitable for advanced-level students in computer science and electrical engineering...?.978-1-4419-4701-7978-0-387-88777-7作者: 領(lǐng)巾 時間: 2025-3-22 21:24 作者: MELON 時間: 2025-3-23 01:41 作者: Osteons 時間: 2025-3-23 06:32
Learning in Multiagent Systems: An Introduction from a Game-Theoretic Perspective978-1-4615-5175-1作者: CREEK 時間: 2025-3-23 12:49 作者: 善辯 時間: 2025-3-23 13:59
TTree: Tree-Based State Generalization with Temporally Abstract Actions978-3-322-84269-5作者: Abjure 時間: 2025-3-23 21:34
Relational Reinforcement Learning for Agents in Worlds with Objects作者: Ferritin 時間: 2025-3-24 00:29
Adapting Populations of Agentstion protection and rights management. Secondary data can be embedded imperceptibly in digital multimedia signals for a variety of applications, including ownership protection, authentication, 978-1-4419-2994-5978-0-387-21754-3作者: Ataxia 時間: 2025-3-24 03:19
The Evolution of Communication Systems by Adaptive Agentsale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.978-3-319-34721-9978-3-319-14998-1作者: 哥哥噴涌而出 時間: 2025-3-24 08:54
An Agent Architecture to Design Self-Organizing Collectives: Principles and Applicationsses the variety of hot topics in multimedia data mining research...Topics and Features: - Features a comprehensive introduction to multimedia data mining and its relevance today; - presents a global perspective of the field and its various components; - provides bro978-1-4471-6013-7978-1-84628-799-2作者: 不透氣 時間: 2025-3-24 12:11 作者: Landlocked 時間: 2025-3-24 14:58 作者: 獨特性 時間: 2025-3-24 19:08 作者: GUMP 時間: 2025-3-25 03:01
0302-9743 esearchers specifically solicited for this book. The articles are organized into topical sections on ..- learning, cooperation, and communication..- emergence and evolution in multi-agent systems..- theoretical foundations of adaptive agents.978-3-540-40068-4978-3-540-44826-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: maladorit 時間: 2025-3-25 06:30
Kosten- und Erfolgscontrolling,ainable if the number of endangered ones is of the same order as the number of non-endangered ones. We also discuss niches, islands. Finally, we combine learning as adaptation of individual agents with learning via selection in a population.作者: GENUS 時間: 2025-3-25 09:58 作者: AVOW 時間: 2025-3-25 15:20
J.-C. Bouret,C. Catala,T. Simonirically evaluate the ability of each metric to predict ruggedness and use these metrics to explain past results showing that problems that yield equal reward when completely learned yield different profits to an adaptive learning agent.作者: CYT 時間: 2025-3-25 16:00
Conference proceedings 2003nce, computer science, software engineering, and developmental biology, as well as cognitive and social science...This book surveys the state of the art in this emerging field by drawing together thoroughly selected?reviewed papers from two related workshops; as well as?papers by leading researchers作者: LASH 時間: 2025-3-25 22:06 作者: 喃喃而言 時間: 2025-3-26 02:12 作者: tangle 時間: 2025-3-26 08:21 作者: jettison 時間: 2025-3-26 08:36
Finanzierung und Investitionsrechnung,nd learning using CBR (Case-based Reasoning). We present several collaboration strategies for agents that learn and their empirical results in several experiments. Finally we analyze the collaboration strategies and their results along several dimensions, like number of agents, redundancy, CBR technique used, and individual decision policies.作者: Electrolysis 時間: 2025-3-26 13:55
Finanzierung und Investitionsrechnung,ission. This observation requires us to reconsider the role of innateness in explaining the characteristic structure of language. The relationship between innate bias and the universal features of language becomes opaque when we consider that significant linguistic evolution can occur as a result of cultural transmission.作者: 痛苦一生 時間: 2025-3-26 16:53
Kosten- und Erfolgscontrolling,orcement learning approaches for such . agents did not guarantee convergence to the optimal joint action in scenarios with high miscoordination costs. We improve on previous results [.] by demonstrating empirically that our extension causes the agents to converge almost always to the optimal joint action even in these difficult cases.作者: 挑剔小責 時間: 2025-3-27 00:21
https://doi.org/10.1007/978-3-8348-9510-3s of agents in choosing environments so as to interact with other agents representing users with similar interests. These experiments suggest a useful way for agents to acquire preferences for formation of groups for information interaction between users, and may also indicate means for supporting load balancing in distributed systems.作者: 掃興 時間: 2025-3-27 03:21 作者: 激勵 時間: 2025-3-27 08:57 作者: Project 時間: 2025-3-27 11:21
https://doi.org/10.37307/b.978-3-503-19433-9exhibited by the system. We therefore argue that alternative, sometimes counter-intuitive, conceptions of the relationship between an agent and its environment may offer a useful starting point when considering the design of an agent knowledge base.作者: 向下五度才偏 時間: 2025-3-27 17:17 作者: 憤世嫉俗者 時間: 2025-3-27 18:17
F. X. De Araújo,D. F. Lopes,M. A. Machadond can be used to approach problems that are currently out of reach for classical reinforcement learning approaches. This chapter introduces relational reinforcement learning and gives an overview of techniques, applications and recent developments in this area.作者: intricacy 時間: 2025-3-28 00:59 作者: 嚙齒動物 時間: 2025-3-28 06:07
Notger Carl,Rudolf Fiedler,Manfred Kieselle if enough structure is provided. This paper describes a component-based structure within which dependencies between components are made explicit. An example of a simple web-page analysis agent is used to illustrate the structuring principles and elements.作者: Banquet 時間: 2025-3-28 07:18
https://doi.org/10.1007/3-540-44826-8MAS; Multi-agent system; adaptation; adaptive agents; adaptive learning; adaptive systems; agent-based sim作者: 蘆筍 時間: 2025-3-28 12:28
978-3-540-40068-4Springer-Verlag Berlin Heidelberg 2003作者: addition 時間: 2025-3-28 15:29 作者: Osteons 時間: 2025-3-28 20:15 作者: 一再困擾 時間: 2025-3-28 23:15
Finanzierung und Investitionsrechnung,deoff between cooperation and learning in multiagent systems. We focus on multiagent systems where individual agents are capable of solving problems and learning using CBR (Case-based Reasoning). We present several collaboration strategies for agents that learn and their empirical results in several作者: Acetaminophen 時間: 2025-3-29 06:44
Kosten- und Erfolgscontrolling,we focus on two novel approaches: one is based on a new action selection strategy for Q-learning [.], and the other is based on model estimation with a shared action-selection protocol. The new techniques are applicable to scenarios where mutual observation of actions is not possible..To date, reinf作者: thwart 時間: 2025-3-29 09:12
Notger Carl,Rudolf Fiedler,Manfred Kieselearning process?” This paper describes a technique that enables a heterogeneous group of Learning Agents (LAs) to improve its learning performance by exchanging advice. This technique uses supervised learning (back-propagation), where the desired response is not given by the environment but is based作者: thyroid-hormone 時間: 2025-3-29 11:48
https://doi.org/10.1007/978-3-8348-9510-3 from evolutionary theory to the theory and application of multi-agent systems. A key issue is to understand the factors that affect collaboration and communication evolution. To address this problem, here we choose the environmental risk as a compact descriptor of the environment in a model world o作者: 凝結(jié)劑 時間: 2025-3-29 15:35
Notger Carl,Rudolf Fiedler,Manfred Kieselversity, heterogeneity and fluctuation, confront multiagent learning with new challenges. This paper presents the interaction learning meta-architecture InFFrA as one possible answer to these challenges, and introduces the opponent classification heuristic A.H. as a concrete multiagent learning meth作者: 假設(shè) 時間: 2025-3-29 22:05
Finanzierung und Investitionsrechnung,smission of language. Using multi-agent computational models we show that certain hallmarks of language are adaptive in the context of cultural transmission. This observation requires us to reconsider the role of innateness in explaining the characteristic structure of language. The relationship bet作者: forecast 時間: 2025-3-30 01:26 作者: parsimony 時間: 2025-3-30 07:18
Notger Carl,Rudolf Fiedler,Manfred Kieselby using group or role notions might be very difficult and even impossible for human analysts. Although an organization can be found or approximated, it becomes complicated to design entities, or agents in our case, that take into account, at the conception and design phases, all possible situations作者: dyspareunia 時間: 2025-3-30 10:31 作者: crockery 時間: 2025-3-30 14:22
Notger Carl,Rudolf Fiedler,Manfred Kieselle if enough structure is provided. This paper describes a component-based structure within which dependencies between components are made explicit. An example of a simple web-page analysis agent is used to illustrate the structuring principles and elements.作者: 淘氣 時間: 2025-3-30 20:33
Finanzierung und Investitionsrechnung,l in the context of a multi-agent system simulating natural selection. Classical Darwinism and Neo-Darwinism are compared, and the principles of the latter are implemented in the system. The experiments study the factors that influence the successful propagation of altruistic behaviour in the popula作者: GENRE 時間: 2025-3-30 23:48
https://doi.org/10.37307/b.978-3-503-19433-9um concepts of iterated dominance, and Nash equilibrium. We show some of the most relevant findings in the theory of learning in games, including theorems on fictitious play, replicator dynamics, and evolutionary stable strategies. The CLRI theory and n-level learning agents are introduced as attemp作者: 黑豹 時間: 2025-3-31 01:15
https://doi.org/10.37307/b.978-3-503-19433-9e will describe how artificial agent designers face important problems that philosophers have been working on for centuries. We will then show that it is possible to design different agents to be . based on different philosophical approaches, and that doing so increases the range of agent behaviour 作者: Gleason-score 時間: 2025-3-31 05:32
A. Moujtahid,J. Zorec,A. M. Hubertenvironment and to recognize the generic tendencies in the sequence of those changes. Reactivity must satisfy the need for immediate answers; cognition will enable the perception of medium and long time variations, allowing decisions that lead to an improved reactivity. Agents are able to evolve thr作者: 使成波狀 時間: 2025-3-31 12:47
Y. Frémat,A. S. Miroshnichenko,L. Houziaux Problem (SMDP). The algorithm uses a learned tree based discretization of the state space as an abstract state description and both user supplied and auto-generated policies as temporally abstract actions. It uses a generative model of the world to sample the transition function for the abstract SM作者: 燒瓶 時間: 2025-3-31 15:57 作者: 爆米花 時間: 2025-3-31 20:51
