Production companies usually use applications of MRP II or ERP class but procedures "to sell" and "to buy" (or to find the proper cooperation) stillremain the domain of human work. High cost and lo...
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Production companies usually use applications of MRP II or ERP class but procedures "to sell" and "to buy" (or to find the proper cooperation) stillremain the domain of human work. High cost and low quality of realization of these tasks in contemporary market reality have strong impact on performance of a company. The paper presents the idea of a multi-agent system that can reduce these inefficiency. Designed and implemented according to agent technology modules are proposed to include into MRP class system. It can be easily foreseen that firms or sites of disassembling purposes will also be manage with these procedures.
This paper focuses on our cargo layout system for an H-II Transfer Vehicle (HTV) and analyzes its capabilities from several perspectives. Careful analysis of our cargo layout system through intensive simulations revea...
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This paper focuses on our cargo layout system for an H-II Transfer Vehicle (HTV) and analyzes its capabilities from several perspectives. Careful analysis of our cargo layout system through intensive simulations reveals that the proposed system has the following important capabilities: (1) a reduction in the gap of the HTV's center of gravity without cargo; (2) prior engineering analysis of a cargo layout; (3) support for ground operations; and (4) a reduction in mission cost.
A computational organization theory is the articulation of an organization theory in the form of a computer program. We describe an example of this approach to studying organizational phenomena through the use of simu...
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A computational organization theory is the articulation of an organization theory in the form of a computer program. We describe an example of this approach to studying organizational phenomena through the use of simulated autonomous intelligent agents, present a detailed description of such a model, and demonstrate the application through a series of experiments conducted with the model. The model, called Plural‐Soar, represents a partial instantiation of a cognitively motivated theory that views organizational behavior as emergent behavior from the collective interaction of intelligent agents over time, and that causal interpretations of certain organizational phenomena must be based on theoretically sufficient models of individual deliberation. We examine the individual and collective behavior of the agents under varying conditions of agent capabilities defined by their communication and memory properties. Thirty separate simulations with homogeneous agent groups were run varying agent type, group size, and number of items in the order list an agent acquires. The goal of the simulation experiment was to examine how fundamental properties of individual coordination (communication and memory) affected individual and group productivity and coordination efforts under different task properties (group size and order size). The specific results indicate that the length of the item list enhances performance for one to three agent groups, but with larger groups memory effects dominate. Communication capabilities led to an increase in idle time and undesirable collective behavior. The general conclusion is that there are subtle and complex interactions between agent capabilities and task properties that can restrict the generality of the results, and that computational modeling can provide insight into those interactions.
Fundación Hullera Vasco-Leonesa is a company with a documental department responsible for managing the bibliographic information the company uses. That department manually elaborates and distributes periodic docu...
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Fundación Hullera Vasco-Leonesa is a company with a documental department responsible for managing the bibliographic information the company uses. That department manually elaborates and distributes periodic documents (press bulletins, environmental dossiers, etc). This paper describes an intelligent multiagent system as a way to solve the work handled by this department. The objective was to design and implement a digital library with all the tasks needed, like query management, automatic design and generation of electronic documents, selective information distribution, etc.
Growing interest in applications of distributed systems, such as multi-agent systems, increases demands on identification of distributed systems from partial information sources collected by local agents. We are conce...
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Growing interest in applications of distributed systems, such as multi-agent systems, increases demands on identification of distributed systems from partial information sources collected by local agents. We are concerned with fully distributed scenario where system is identified by multiple agents, which do not estimate state of the whole system but only its local ‘state'. The resulting estimate is obtained by merging of marginal and conditional posterior probability density functions (pdf) on such local states. We investigate the use of recently proposed non-parametric log-normal merging of such ‘fragmental’ pdfs for this task. We derive a projection of the optimal merger to the class of weighted empirical pdfs and mixtures of Gaussian pdfs. We illustrate the use of this technique on distributed identification of a controlled autoregressive model.
In this paper, we propose a topology-based, message-passing Diagnostic Agent (DA) architecture. The diagnostic agents in charge of each process unit perform local diagnoses, exchange related information with other dia...
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In this paper, we propose a topology-based, message-passing Diagnostic Agent (DA) architecture. The diagnostic agents in charge of each process unit perform local diagnoses, exchange related information with other diagnostic agents, and cooperatively solve the global diagnostic problem of the whole process plant just like human experts would do. For their better sharing of process knowledge and information, we also suggest a way of remodeling processes taking into account semantic abstracts of process information or data. The benefits of the suggested collaborative problem solving approach are demonstrated by solving the diagnostic problem of a CSTR system with recycle and a first order irreversible reaction.
In this work is proposed a new agent based fault diagnosis system for complex and dynamic processes. The fault diagnosis systems of the future should have present the distribution and complexity of the processes and t...
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In this work is proposed a new agent based fault diagnosis system for complex and dynamic processes. The fault diagnosis systems of the future should have present the distribution and complexity of the processes and they must be able to cooperate and communicate with other systems to achieved a satisfactory performance. The fault detection and isolation (FDI) agents proposed here have hybrid architectures based in a horizontal layered architecture. The reactive layer of the FDI agents are based in decomposition wavelet methods for the fault detection and in neural networks for the fault isolation task. The new agent based FDI system is applied to fault diagnosis in a three tank process.
This paper proposes to address the problem of work organization design in human-machine systems with the help of multiagent systems techniques. The organization, defined as the structure supporting tasks attribution, ...
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This paper proposes to address the problem of work organization design in human-machine systems with the help of multiagent systems techniques. The organization, defined as the structure supporting tasks attribution, coordination and communication, is the subject of many studies in distributed artificial intelligence (DAI). Three organization modes are presented. These modes are seen as foundations on which a global organization including humans and intelligent machines can be built, with some restrictions due to the characteristics of humans. Althought its simplifying aspect, this could be a step toward the application of multiagent concepts to address some of the humans-machines cooperation problems.
This paper deals with the cyclic scheduling problem for Flexible Manufacturing Systems (FMS) and presents a new Multi-Agent Model for computing the transient states between successive cyclic productions (called transi...
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This paper deals with the cyclic scheduling problem for Flexible Manufacturing Systems (FMS) and presents a new Multi-Agent Model for computing the transient states between successive cyclic productions (called transient inter-productions). It is composed of cooperating agents aiming to minimize the global makespan while reducing temporal complexity. The use of artificialintelligence techniques, Multi-Agent Systems and Production management makes our model very original. Indeed, the planning phase allows, in the cyclic context, determining the cyclic productions to respect the initial demand. These cyclic productions have to be sequenced each one in relation to the others. Once this operation done, the transient state allowing going from a cyclic state to the following one has to be determined and optimized.
Among numerous names connected with classic models of agents (BDI, Agent-D, M-agent) a notion of "operational agent" has appeared recently. An operational agent is a certain virtual being acting most often i...
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Among numerous names connected with classic models of agents (BDI, Agent-D, M-agent) a notion of "operational agent" has appeared recently. An operational agent is a certain virtual being acting most often in a computer system or network system, able to realize certain functions. The paper will present a description the operational agent acting in the decentralized network environment. A concept of using this class of agents in creating a network support system of organizing medical help will be drawn up.
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