作者: fledged 時(shí)間: 2025-3-21 23:06
Distributed Constraint Satisfaction Problem,distributed among automated agents. Finding a value assignment; to variables that satisfies inter-agent constraints can be viewed as achieving coherence or consistency among agents. Achieving coherence or consistency is one of the main research topics in multi-agent systems (MAS). Therefore, distrib作者: 相互影響 時(shí)間: 2025-3-22 01:36 作者: FLUSH 時(shí)間: 2025-3-22 08:29
Handling Multiple Local Variables, the local problem of each agent becomes large and complex. Although these algorithms can be applied to the situation where one agent has multiple local variables by the following methods, both methods are neither efficient nor scalable to large problems.作者: 平 時(shí)間: 2025-3-22 12:07 作者: Efflorescent 時(shí)間: 2025-3-22 16:06 作者: Efflorescent 時(shí)間: 2025-3-22 17:07
https://doi.org/10.1007/978-1-4684-6521-1m as a distributed CSP, we don’t have to develop algorithms for solving it from scratch, since various algorithms for solving distributed CSPs have been developed. We show the classification of these algorithms in Section 2.4.作者: 確定 時(shí)間: 2025-3-22 21:50
Distributed Constraint Satisfaction Problem,m as a distributed CSP, we don’t have to develop algorithms for solving it from scratch, since various algorithms for solving distributed CSPs have been developed. We show the classification of these algorithms in Section 2.4.作者: cliche 時(shí)間: 2025-3-23 03:25
1619-7119 ults in a consistent way.Includes supplementary material: When multiple agents are in a shared environment, there usually exist con- straints among the possible actions of these agents. A distributed constraint satisfaction problem (distributed CSP) is a problem in which the goal is to find a consis作者: Genome 時(shí)間: 2025-3-23 08:01 作者: Substitution 時(shí)間: 2025-3-23 10:12
Antarctic Soils and Climate Change,of sensor data. These agents produce possible interpretations and try to build a globally consistent interpretation. If an agent makes incorrect interpretations because of errors in the process—for example, noise on the sensor data—there may be a situation where no globally consistent interpretation exists.作者: obscurity 時(shí)間: 2025-3-23 16:00
Summary and Future Issues,ybrid-type algorithm of backtracking and iterative improvement, and investigated which kinds of problem instances are most difficult for hill-climbing algorithms. Also, we showed an extension of the basic CSP formalization called partial CSPs.作者: 投票 時(shí)間: 2025-3-23 21:56
Distributed Consistency Algorithm,distributed system that achieves arc-consistency for resource allocation tasks was developed. This system also maintains arc-consistency, i.e., it can re-achieve arc-consistency after dynamic changes in variables/values/constraints with a small amount of computational effort by utilizing dependencies.作者: Picks-Disease 時(shí)間: 2025-3-24 00:45
Handling Over-Constrained Situations,of sensor data. These agents produce possible interpretations and try to build a globally consistent interpretation. If an agent makes incorrect interpretations because of errors in the process—for example, noise on the sensor data—there may be a situation where no globally consistent interpretation exists.作者: 盤旋 時(shí)間: 2025-3-24 04:20 作者: malign 時(shí)間: 2025-3-24 07:10 作者: 轉(zhuǎn)折點(diǎn) 時(shí)間: 2025-3-24 14:04 作者: cochlea 時(shí)間: 2025-3-24 17:23
1619-7119 t Systems (MAS) that are concerned with finding a consistent combination of agent actions can he formalized as dis- tributed CSPs. Therefore, we can consid(~r distributed CSPs as a general framework for MAS, 978-3-642-64020-9978-3-642-59546-2Series ISSN 1619-7119 Series E-ISSN 1866-7333 作者: HUMP 時(shí)間: 2025-3-24 22:48 作者: subacute 時(shí)間: 2025-3-24 23:20
Handling Multiple Local Variables, the local problem of each agent becomes large and complex. Although these algorithms can be applied to the situation where one agent has multiple local variables by the following methods, both methods are neither efficient nor scalable to large problems.作者: 影響帶來(lái) 時(shí)間: 2025-3-25 07:12 作者: 內(nèi)向者 時(shí)間: 2025-3-25 11:17
https://doi.org/10.1007/978-1-4684-6521-1distributed among automated agents. Finding a value assignment; to variables that satisfies inter-agent constraints can be viewed as achieving coherence or consistency among agents. Achieving coherence or consistency is one of the main research topics in multi-agent systems (MAS). Therefore, distrib作者: 四指套 時(shí)間: 2025-3-25 12:30
Time and the Civilizing Process,ents is relatively straightforward, since the algorithm can be achieved by the iteration of local processes. In (Prosser, Conway, and Muller 1992), a distributed system that achieves arc-consistency for resource allocation tasks was developed. This system also maintains arc-consistency, i.e., it can作者: Limousine 時(shí)間: 2025-3-25 18:57
https://doi.org/10.1007/978-1-4757-6793-3 the local problem of each agent becomes large and complex. Although these algorithms can be applied to the situation where one agent has multiple local variables by the following methods, both methods are neither efficient nor scalable to large problems.作者: 小官 時(shí)間: 2025-3-25 22:23
Antarctic Soils and Climate Change, over- constrained. For example, in a distributed interpretation problem (Lesser and Corkill 1981), each agent is assigned a task to interpret a part of sensor data. These agents produce possible interpretations and try to build a globally consistent interpretation. If an agent makes incorrect inter作者: 注意力集中 時(shí)間: 2025-3-26 00:46
Raul S. Lavado,Virginia Apariciodescribed various algorithms for solving CSPs, including complete, systematic search algorithms called backtracking algorithms, hill-climbing algorithms called iterative improvement algorithms, and consistency algorithms. In particular, we described the weak-commitment search algorithm, which is a h作者: 頭腦冷靜 時(shí)間: 2025-3-26 06:38
https://doi.org/10.1007/978-1-4684-6521-1In this chapter, we describe the basic backtracking algorithm for solving distributed CSPs called the . algorithm. In this algorithm, agents can act concurrently and asynchronously without any global control, while the completeness of the algorithm is guaranteed.作者: Mundane 時(shí)間: 2025-3-26 09:42
Finnish in the European Information Society,In this chapter, we describe how the asynchronous backtracking algorithm can be modified into a more efficient algorithm called the . algorithm, which is inspired by the weak-commitment search algorithm for solving CSPs described in Chapter 1. The main characteristic of this algorithm is as follows.作者: 使激動(dòng) 時(shí)間: 2025-3-26 15:01
Introduction to Client/Server ArchitectureIn this chapter, we describe a distributed iterative improvement algorithm called the . algorithm, which is inspired by the breakout algorithm described in Chapter 1. The main characteristics of this algorithm are as follows.作者: glacial 時(shí)間: 2025-3-26 19:58 作者: GOUGE 時(shí)間: 2025-3-26 23:50
Asynchronous Weak-Commitment Search,In this chapter, we describe how the asynchronous backtracking algorithm can be modified into a more efficient algorithm called the . algorithm, which is inspired by the weak-commitment search algorithm for solving CSPs described in Chapter 1. The main characteristic of this algorithm is as follows.作者: Cardiac 時(shí)間: 2025-3-27 02:30 作者: 小官 時(shí)間: 2025-3-27 09:17 作者: ticlopidine 時(shí)間: 2025-3-27 12:03
https://doi.org/10.1007/978-1-4684-6521-1cal example of a CSP is a puzzle called n-queens. The objective is to place . chess queens on a board with . x . squares so that these queens do not threaten each other (Fig. 1.1). A problem of this kind is called a constraint satisfaction problem because the objective is to find a configuration that satisfies the given conditions (constraints).作者: GEAR 時(shí)間: 2025-3-27 14:49 作者: COWER 時(shí)間: 2025-3-27 19:12 作者: 釋放 時(shí)間: 2025-3-27 22:13
978-3-642-64020-9Springer-Verlag Berlin Heidelberg 2001作者: FLAX 時(shí)間: 2025-3-28 02:34
Makoto YokooThe book adapts results from classical constraint satisfaction for multi-agent systems and consolidates recent research and presents new results in a consistent way.Includes supplementary material: 作者: 小爭(zhēng)吵 時(shí)間: 2025-3-28 07:05 作者: STING 時(shí)間: 2025-3-28 12:28
9樓作者: craven 時(shí)間: 2025-3-28 17:12
9樓作者: Prognosis 時(shí)間: 2025-3-28 19:49
10樓作者: 外觀 時(shí)間: 2025-3-29 01:50
10樓作者: obligation 時(shí)間: 2025-3-29 04:03
10樓作者: Notify 時(shí)間: 2025-3-29 08:09
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