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Recently, game theory has been proposed as a tool for cooperative control. Specifically, the interactions of a multi-agent distributed system are modeled as a non-cooperative game where agents are self-interested. In this work, we prove that this approach of non-cooperative control has limitations with respect to engineering multi-agent systems. In particular, we prove that it is not possible to design...
As a social entity, agent needs to collaborate with others to execute a task in most multi-agent systems. Agent has its own intention and interest as an individual, which is ignored in most systems and has great influence on cooperating with other agents. In this paper, referring to the principle of interest group in real life, a multi-agent cooperation scheme based on interest group to solve the...
Now, autonomous tasks planning and allocating (TPA) in Multi Agent System (MAS) has been one key and fundamental problem to promote the intelligent level of such system. Autonomous TPA means that, all tasks should be (re)planned and (re)allocated automatically according to the synthesis constraints and the dynamic environment aspects, such as the changing mission, status of each member, and topology,...
This study addresses problems of service design in movie theaters and proposes a new auction mechanism that addresses seat reservations. In movie theater services, the movie price is generally fixed; moreover, it does not depend on the quality of contents or the theater seat. Therefore, such a service mechanism by the fixed pricing cannot reflect the value of movie contents. In this study, introducing...
In a business model for cloud computing, users pay providers for consumption of their computing capabilities. This work proposes an agent-based testbed for bolstering the discovery of cloud resources and SLA negotiation. In the testbed, provider and consumer agents act as intermediaries between providers and consumers. Through a 4-stage resource discovery process (selection, evaluation, filtering,...
In this paper, Reactive Multi-Agent Systems handle complex assignment problems as decentralized negotiating problems. Each agent locally acts in order to make the system reach a satisfying configuration. We address here, the designing problem: how to accurately communicate the problem to agents, and increase their ability to coordinate? We identify two main aspects to consider: (1) how to express...
Being the first work for decentralized task allocation with a negotiation process involving a mutual selection, contract net protocol (CNP) has been widely applied to kinds of multi-agent system (MAS). To solve the problem of flexible and dynamic system integration, agent techniques is introduced. On the basis of researches on CNP, an implementation of contract net protocol based on information intermediary...
In ubiquitous environment intelligent and transparent services are provided to the users anytime and anywhere. Ubiquitous systems can be effectively implemented using the agent technology, while the agent platform supports efficient and stable interaction among the agents. In this paper we propose a load-balancing scheme which considers agent state for fair and efficient resource allocation to the...
Many realistic problem domains are composed of heterogeneous tasks distributed in a physical environment. A team of mobile agents has to autonomously allocate these tasks, navigate to them and finally execute them. Recently auctions have been used for task allocation among homogeneous agents. Less studied is the case of allocation where both the tasks and the agents are heterogeneous in nature. In...
Resource allocation is an important issue in cognitive radio systems. It can be done by carrying out negotiation among secondary users. However, significant overhead may be incurred by the negotiation since the negotiation needs to be done frequently due to the rapid change of primary users' activity. In this paper, a channel selection scheme without negotiation is considered for multi-user and multi-channel...
The present paper describes the simulation of a new intelligent transport system using a newly developed simple two-cycle case-rule-based reasoning engine (CRBRE) for double agent convoying. The CRBRE is driven by many multi-triggers (mm-triggers) and reasons through action allocation. A state transition graph-like double ring is used for the scenario sequence of double agent convoying. Storyboarding...
An agent system, which is characterized by self-organization, self-maintain, independence and self-learning abilities, has the ability of communicating with each other among different computer platforms. Therefore, the agent technology, as a new solution to material procurement, is attempted to be applied. The paper analyzes and discusses this issue.
Resources allocation is complex undertaking problem in distributed resources share problems. In this work, we consider the problem of engineering agents that act as proxies for the procurement of computational and data resources. By using economic models, mechanisms such as auctions may appropriate for the management of these problems. In this paper, we provide the design and theoretical analysis...
Constraint satisfaction has been a very successful paradigm for solving problems such as resource allocation and planning. Many of these problems pose themselves in a context involving multiple agents, and protecting privacy of information among them is often desirable. Secure multiparty computation (SMC) provides methods that in principle allow such computation without leaking any information. However,...
In view of that Sync brake system of combined-train has a complex configuration and distributed control characteristic, an on-line diagnosis system based on multi-agent technique is designed. The diagnosis system is a two-level multi-agent system, in which diagnosis tasks are divided into simple tasks and accomplished by agents with collaboration. Based on the design of the diagnosis system, the key...
Recently, task allocation in multi-agent systems has been investigated by many researchers. Some researchers suggested to have a central controller which has a global view about the environment to allocate tasks. Although centralized control brings convenience during task allocation processes, it also has some obvious weaknesses. Firstly, a central controller plays an important role in a multi-agent...
In the multi-agent systems, the resources for the task and the ability of each single agent may be limited. An agent cannot do the whole task by itself, it need the help of other agents. So, the task needs to be decomposed into several subtasks. Some of the subtasks will be carried out locally by the original agent, while others need to be done non-locally with other agents. So, during the negotiation...
A theoretical account aimed at modeling time usage founded on social network-based multiagent system is proposed. The model introduces mutual, dynamic relationships between the network and schedules: on the one hand, a network is generated by schedules, on the other, schedules are shaped by the network. Time allocation is driven by globally distributed semantic resources. Social network structure...
We propose a local Voronoi decomposition (LVD) algorithm which is able to perform a robust and online task allocation for multiple agents based purely on local information. Because only local information is required in determining each agent's Voronoi region, each agent can then make its decision in a distributive fashion based on its allocated Voronoi region. These Voronoi regions eliminates the...
The resource allocation problem is a classical problem in the scientific literature. Here, authors present an architectural model to allow optimum resource allocation in a grid environment. They are investigating a decentralized approach to address this problem into an inter--grid nodes context; instead they argue in favor of a centralized approach in an intra--grid node context (i.e., a cluster architecture)...
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