Smart devices have gained increasing importance and are meanwhile also being considered in a residential environment. For the design of such devices, cost efficiency plays an important role, although the actual demand...
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Smart devices have gained increasing importance and are meanwhile also being considered in a residential environment. For the design of such devices, cost efficiency plays an important role, although the actual demand of hard- and software resources is very difficult to determine in advance. This paper analyses the implementation effort needed for an intelligent, networked refrigerator. It gives an overview of the enhanced functionality as well as the overall usage of resources and their distribution among the different tasks. The network selected for the case study was the European Installation Bus.
In this paper, we describe an approach for building a hybrid Bayesian network-based multi-agent system for drug crime knowledge management. We use distributed artificial intelligence architecture to create a multi-age...
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In this paper, we describe an approach for building a hybrid Bayesian network-based multi-agent system for drug crime knowledge management. We use distributed artificial intelligence architecture to create a multi-agent information system that integrates distributed knowledge sources and information to aid decision-making. Our comparison of the hybrid system with a previously developed stand-alone expert system Sherpa , which was in use at a large drug crime investigation facility, shows that the current system compares similar to the existing system in terms of efficiency and effectiveness of knowledge management. We illustrate how the proposed hybrid bayesian network-based can be implemented in the distributed computing network environment.
We prove that for any finite deduction structure there exists a unique concise-widest chain-preserved split. Based on this result, we propose a logical splitting strategy which enables an agent to split its belief str...
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We prove that for any finite deduction structure there exists a unique concise-widest chain-preserved split. Based on this result, we propose a logical splitting strategy which enables an agent to split its belief structure such that all the original inference chains can be preserved. The significance of such logical splitting at least is four-fold: (1) It can be used by an agent to separate its concerns appropriately, or even create smaller and smarter clones which could save time and efforts in their deliberation computing;(2) It will enable an agent to adjust its concerns dynamically based on its recognition of the current situation, which may further enable the agent to make rapid and rational decisions when situation shifting occurs;(3) In periodic team synchronization (PTS) domains where agents can periodically synchronize their behaviors with no restriction on communication, it can be employed as a critical process for maintaining the shared mental models among a team of agents;and (4) It is helpful in alleviating the complexity of reasoning about relevant information, and in better anticipating both explicit and implicit information needs based on the recognition of the current situation.
This paper is devtoed to a new algebraic modelling approach to distributed problem-solving in multi-agent systems(MAS),which is featured by a unified framework for describing and treating social behaviors,social dynam...
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This paper is devtoed to a new algebraic modelling approach to distributed problem-solving in multi-agent systems(MAS),which is featured by a unified framework for describing and treating social behaviors,social dynamics and social intelligence.A coneptual architecture of algebraic modelling is *** algebraic modelling of typical social be-haviors,social situation and social dynamics is discussed in the context of distributed problem-solving in MAS .The comparison and simulation on distributed task allocations and resource assignments in MAS show more advantages of the algebraic approach than other conventional methods.
Fault section estimation (FSE) of large-scale power networks can be implemented effectively by the distributed artificial intelligence (AI) technique. In this paper, an efficient multiway graph partitioning method is ...
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Fault section estimation (FSE) of large-scale power networks can be implemented effectively by the distributed artificial intelligence (AI) technique. In this paper, an efficient multiway graph partitioning method is proposed to partition the large-scale power networks into the desired number of connected subnetworks with balanced working burdens in performing FSE. The number of elements at the frontier of each subnetwork is also minimised in the method. The suggested method consists of three basic steps: forming the weighted depth-first-search tree of the studied power network;partitioning the network into connected, balanced subnetworks and minimising the number of the frontier nodes of the subnetworks through iterations so as to reduce the interaction of FSE in adjacent subnetworks. The relevant mathematical model and partitioning procedure are presented. The method has been implemented with the sparse storage technique and tested in the IEEE 14-bus, 30-bus and 118-bus systems, respectively. Computer simulation results show that the proposed multiway graph partitioning method is effective for the large-scale power system FSE using the distributed AI technique.
Supervision system requires not only a high-speed system, but also high reliability (i.e. fault-tolerant systems), high flexibility (generic design) and high scalability (distributed design). Industrial applications h...
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Supervision system requires not only a high-speed system, but also high reliability (i.e. fault-tolerant systems), high flexibility (generic design) and high scalability (distributed design). Industrial applications have revealed these absolute needs that distinguish modern architectures from the classical ones. Combining top-level Research from three fields - automation, distributed artificial intelligence (DAI) and distributed computer science, a supervision architecture is designed that fits all these criteria. Automation provided a functional description of the smart instruments, DAI, the modularity of multi-agents systems, and distributed database technologies, a reliable protocol for transactional processing.
This paper introduces to the reader the field of cooperating intelligent software agents. It first reviews the historical roots of distributed Al, and the main concepts that have been developed in that field since the...
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This paper introduces to the reader the field of cooperating intelligent software agents. It first reviews the historical roots of distributed Al, and the main concepts that have been developed in that field since the end of the seventies, and on which today's agent technology is based upon. The paper then concentrates on the modeling of agents. Starting with a terminological discussion of what agents are, and with an example the main characteristics of cooperating intelligent agents are presented, formalized, and discussed. Based upon this the paper proceeds to issues that are relevant to multiagent systems: coordination, communication, and standardization. The paper concludes with a sum-up of the main results, and and an extensive bibliography.
In this paper we present fuzzy functions to model load balancing in distributed computing systems. Due to lack of communication delays in message passing, a complete and consistent view of the entire system may never ...
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ISBN:
(纸本)9665532340
In this paper we present fuzzy functions to model load balancing in distributed computing systems. Due to lack of communication delays in message passing, a complete and consistent view of the entire system may never be available to a node of the system. Most of the previous work in load balancing and distributed decision making in general, do not effectively take into account the uncertainty and inconsistency in state information. Also both the load patterns and task lengths descriptions are based on crisp values which may be inconvenient. Most of the research that used fuzzy descriptions considered fixed fuzzy function parameter values that only can match in fixed load patterns. The aim of this paper is to solve the uncertainty problem in state information and task selection for migration using proposed fuzzy functions of variable membership values, and to propose an expert system that uses these fuzzy functions in decision making.
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.
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