An approach to reduce the effect of problems related to inter-node communication in distributed Problem Solvers (DPS) is presented for the special case of real-time control of Computer Integrated Manufacturing Systems...
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An approach to reduce the effect of problems related to inter-node communication in distributed Problem Solvers (DPS) is presented for the special case of real-time control of Computer Integrated Manufacturing Systems (CIMS). Some techniques based on the distribution of control and VLSI implementations of control Petri nets were presented in (DEVAPRIYA, 91c; 92a). The present paper discusses the necessity for furnishing the system with a panoplie of diverse communication techniques and letting the system learn to use the best technique for a given situation. This permits a high degree of flexibility of the system without sacrificing unduely on communication efficiency while avoiding bottleneck situations in the DPS network.
In this paper, some fundamental issues of modern multi-agent robot architectures are discussed. It is argued that the multi-agent approach provides the necessary flexibility and adaptivity for such architectures, and ...
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In this paper, some fundamental issues of modern multi-agent robot architectures are discussed. It is argued that the multi-agent approach provides the necessary flexibility and adaptivity for such architectures, and that the primary issue in designing a multi-agent robot architecture is the selection of the granularity level, i.e., the decision on decomposing the overall desired functionality physically or across tasks. It is explained why at the various system levels different decomposition grains are needed; physical components, tasks or hybrid. This granularity decision is made on the basis of specific criteria of control localization, knowledge decoupling and interaction minimization so as to identify the decision points of the overall functionality. The above criteria lead to a dual composition-decomposition relation, which provides a good basis for system scaling. The paper specializes the discussion to a proposed neuro-fuzzy multi-agent architecture, which is then applied to design the local path planning system of an indoor mobile robot.
Systems composed of multiple interacting problem solvers are becoming increasingly pervasive and have been championed in some quarters as the basis of the next generation of intelligent information systems. If this te...
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Systems composed of multiple interacting problem solvers are becoming increasingly pervasive and have been championed in some quarters as the basis of the next generation of intelligent information systems. If this technology is to fulfill its true potential then it is important that the systems which are developed have a sound theoretical grounding. One aspect of this foundation, namely the model of collaborative problem solving, is examined in this paper. A synergistic review of existing models of cooperation is presented, their weaknesses are highlighted and a new model (called joint responsibility) is introduced. Joint responsibility is then used to specify a novel high-level agent architecture for cooperative problem solving in which the mentalistic notions of belief, desire, intention and joint intention play a central role in guiding an individual’s and the group’s problem solving behaviour. An implementation of this high-level architecture is then discussed and its utility is illustrated for the real-world domain of electricity transportation management.
In this paper we present multi-agent based management of electronic contract (e-contract) in a B2B context, for Tele-services. Several solutions have been proposed in the multi-agent domain for negotiation of contract...
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In this paper we present multi-agent based management of electronic contract (e-contract) in a B2B context, for Tele-services. Several solutions have been proposed in the multi-agent domain for negotiation of contracts. However few concern the monitoring of contracts and the management of their violation and enforcement. We describe a prototype implementing the concepts of e-contract using ***ℳOISE Inst , a normative multi-agent organizational model. Thanks to it, contractual clauses are expressed as rights and duties of agents along four points of view: structural, functional, contextual and normative. We use a real-world contracting scenario as a test-bed for examining the proposed e-contract architecture and for implementing our prototype.
This paper focuses on the domain of product-driven control. The concept of product-driven control is introduced and then the expected advantages and the problems to be solved to obtain effectively these advantages are...
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This paper focuses on the domain of product-driven control. The concept of product-driven control is introduced and then the expected advantages and the problems to be solved to obtain effectively these advantages are described. A brief but representative state of the art is presented. Two industrial applications of product-driven control in two different domains are also used to illustrate the concept. This paper concludes with a set of challenging prospects.
The rapid prototyping and building of data acquisition and control systems is a need felt both by researchers and final users. The paper describes a modular system, based on intelligent nodes and the automatic, intera...
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The rapid prototyping and building of data acquisition and control systems is a need felt both by researchers and final users. The paper describes a modular system, based on intelligent nodes and the automatic, interactive, generation of code, that gives an easy solution for the creation of distributed systems.
This book constitutes the refereed proceedings of the First International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007, held in Wroclaw, Poland in May/June 2007. China in ...
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ISBN:
(数字)9783540728306
ISBN:
(纸本)9783540728290
This book constitutes the refereed proceedings of the First International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007, held in Wroclaw, Poland in May/June 2007. China in November 2006. The 110 revised papers presented were carefully reviewed and selected from 464 submissions and contain 4 papers from the doctoral track, and 38 papers from 3 special sessions. The papers are organized in topical sections representing the following conference tracks: methodological aspects of agent systems, agent-oriented Web applications, mobility aspects of agent systems and ontology management, multi-agent resource allocation, negotiating agents, agents for network management, agent approaches to robotic systems, market agents and other applications; the doctoral track; special sessions on mobile agent application and its development, agent on networked media and its applications on next-generation convergence network, as well as on intelligent and secure agent for digital content management.
Methodological Guidelines for Modeling and Developing MAS-Based Simulations The intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades. Altho...
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ISBN:
(纸本)1420070231
Methodological Guidelines for Modeling and Developing MAS-Based Simulations The intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades. Although agents and simulation have been used effectively in a variety of application domains, much of the supporting research remains scattered in the literature, too often leaving scientists to develop multi-agent system (MAS) models and simulations from scratch. Multi-Agent Systems: Simulation and Applications provides an overdue review of the wide ranging facets of MAS simulation, including methodological and application-oriented guidelines. This comprehensive resource reviews two decades of research in the intersection of MAS, simulation, and different application domains. It provides scientists and developers with disciplined engineering approaches to modeling and developing MAS-based simulations. After providing an overview of the fields history and its basic principles, as well as cataloging the various simulation engines for MAS, the book devotes three sections to current and emerging approaches and applications. Simulation for MAS explains simulation support for agent decision making, the use of simulation for the design of self-organizing systems, the role of software architecture in simulating MAS, and the use of simulation for studying learning and stigmergic interaction. MAS for Simulation discusses an agent-based framework for symbiotic simulation, the use of country databases and expert systems for agent-based modeling of social systems, crowd-behavior modeling, agent-based modeling and simulation of adult stem cells, and agents for traffic simulation. Tools presents a number of representative platforms and tools for MAS and simulation, including Jason, James II, SeSAm, and RoboCup Rescue. Complete with over 200 figures and formulas, this reference book provides the necessary overview of experiences with MAS simulation and the tools needed to
Intelligent agents and multiagent systems (MAS) provide a scalable approach to distributed artificial intelligence [3]. Analogous to intelligent biological entities, agent-based computational systems may become quite ...
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ISBN:
(纸本)9781634391313
Intelligent agents and multiagent systems (MAS) provide a scalable approach to distributed artificial intelligence [3]. Analogous to intelligent biological entities, agent-based computational systems may become quite complex. Some may consist of multiple cooperating groups, each providing a specialized subset of the total required functionality [4, 6]. My work focuses on engineering multigroup agents in cooperative intelligent systems. A reusable multigroup agent architecture has been developed, along with a simulation framework and recommended software engineering practices, to support the implementation of multigroup applications. The architecture is being used to evaluate power quality control algorithms for electrical power distribution systems (PDS).
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.
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