This paper presents a cooperative repair method for disruption management in industrial systems. Our method aims to enable industrial systems, and in particular workshops, to minimize the consequences of disruptions i...
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This paper presents a cooperative repair method for disruption management in industrial systems. Our method aims to enable industrial systems, and in particular workshops, to minimize the consequences of disruptions in their forecasted schedule. In order to define rescheduling measures proportional to a disruption importance, a set of distributed repair strategies, ranging from isolated to cooperative solving process, are defined. Agent based modelling is used to specify and operate these cooperative processes. Agent-based simulation illustrates the application of this method on a workshop where autonomous machines cooperate to manage disruptions.
A modular object-oriented environment, called Expert-Coop, designed to help the implementation of open heterogeneous cognitive Multi-Agent Systems is presented in this paper. The environment consists of a library of c...
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A modular object-oriented environment, called Expert-Coop, designed to help the implementation of open heterogeneous cognitive Multi-Agent Systems is presented in this paper. The environment consists of a library of classes that supports the creation of agents according to a predefined concurrent agent architecture. The environment is written in Common Lisp/CLOS and its modularity, guaranteed by the object-oriented design methodology, makes it easy to modify and augment it with new features. The environment is being used to develop an application concerning the restoration of an electricity transmission network, covering Brazil's south region, after a blackout has affected part of the network.
Correctness of agent communication requires that the communicating agents share a common ontology. Most of the ontology merging approaches assume that there is a global, "god's eye" view which is a combi...
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Correctness of agent communication requires that the communicating agents share a common ontology. Most of the ontology merging approaches assume that there is a global, "god's eye" view which is a combination of the concepts in the ontology of the individual agents. These approaches admit that the agents may have different views and try to resolve the differences within the limits of the global view which contains only the concepts based on the individual perceptions of the agents. In this paper we introduce the notion of joint perception in order to enrich the available concepts in the global view and we introduce the notion of conceptualization based on joint perception in order to enable the agents to resolve the differences of their views by introducing new concepts. We propose an incremental ontology negotiation protocol for the conceptualization based on joint perception and demonstrate it in a blocks world. With this work we develop new insights into ontology merging and negotiation for agent communication by defining a formal realization proposal for emergent semantics.
This paper describes a new Multi-agents based architecture for the control of flexible manufacturing systems. In this architecture, the agents coordinate their actions following a new negotiation protocol used for tas...
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This paper describes a new Multi-agents based architecture for the control of flexible manufacturing systems. In this architecture, the agents coordinate their actions following a new negotiation protocol used for tasks scheduling and rescheduling. The proposed protocol, named Multi-Contract Net, is an innovation regard to the Contract-Net protocol in the meaning that it makes possible to negotiate several tasks concurrently, in real time and with better results. The Multi-Contract Net protocol is not only a dynamical task allocation technique, but also a technique that exploits the opportunities provided by the flexibility of the manufacturing system by handling the knowledge uncertainty that characterizes the negotiation process. This paper, also, stresses the efficiency of the distributed implementation.
Exploration is a central issue for autonomous agents which must carry out navigation tasks in environments of which a description is not known a priori. In our approach the environment is described, from a symbolic po...
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Exploration is a central issue for autonomous agents which must carry out navigation tasks in environments of which a description is not known a priori. In our approach the environment is described, from a symbolic point of view, by means of a graph;clustering techniques allow for further levels of abstraction to be defined, leading to a multi-layered representation. In this work we propose an unsupervised exploration algorithm in which several agents cooperate to acquire knowledge of the environment at the different abstraction levels. All agents are equal and pursue the same local exploration strategy;nevertheless, the existence of multiple levels of abstraction in the environment representation allows for the agents' behavior to differ. Agents carry out exploration at different abstraction levels, aimed at reproducing an ideal exploration profile;each agent dynamically selects its exploration level, based on the current demand. Inter-agent communication allows for the agents to share their knowledge and to record acquaintances of the other agents. A communication protocol for organizing teams of agents is provided.
In the workflow management field, fast developments are taking place. The research of the multi-agent system in distributed artificial intelligence provides a new implementation method for workflow management. We prop...
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ISBN:
(纸本)7563504028
In the workflow management field, fast developments are taking place. The research of the multi-agent system in distributed artificial intelligence provides a new implementation method for workflow management. We propose a structure and organization of an agent-based workflow management system.
Multi-agent system(MAS) is a set of intelligent agents which can perform common tasks by communicating, cooperating and collaborating with each *** has the abilities of self-organization,self-learning and *** recent y...
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Multi-agent system(MAS) is a set of intelligent agents which can perform common tasks by communicating, cooperating and collaborating with each *** has the abilities of self-organization,self-learning and *** recent years,MAS is one of the hot researches in the field of distributedartificial *** is widely used in various aspects of the social field and provides a new idea for complex *** paper firstly has a review to introduce multi-agent technique implemented in many social fields to show its extensive usability in different social fields and well ability to solve different complex *** production processes possess the characteristics of complexity, multi-variables and uncertainty *** production techniques in petroleum field have faced lots of limitations in modern *** is necessary to adopt advanced and appropriate methods to improve production *** a well theory for solving complex problems,MAS is utilized by more and more researchers to deal with different difficult problems in petroleum production processes.
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