Specific informational problems are predominant in Process-to-Maintenance (P2M) processes of machine and plant construction industries. An integrated information infrastructure is required to reduce these deficits. Am...
详细信息
Specific informational problems are predominant in Process-to-Maintenance (P2M) processes of machine and plant construction industries. An integrated information infrastructure is required to reduce these deficits. Ambient technologies such as active IT-elements and software agents offer the opportunity to design and realize a flexible information infrastructure that is used to coordinate all process phases. Potential benefits of the architecture are discussed in detail and further research to develop an Ambient intelligence Information Infrastructure (AIII) for P2M-processes is justified.
This paper reports on the development of algorithms for factory decision-making and scheduling systems. The particular decision-making and schedule co-ordination problem studied relates to the synchronisation of a ser...
详细信息
This paper reports on the development of algorithms for factory decision-making and scheduling systems. The particular decision-making and schedule co-ordination problem studied relates to the synchronisation of a series of events in the context of a production changeover in electric arc steel-making. The paper explores two distributed approaches to this co-ordination problem. The first is a simple manual algorithm that helps co-ordinate the behaviour of steel-plant production via (i) the exchange of relevant inter-unit process information and by (ii) recommending operators take appropriate local actions. The second approach provides a framework for a more general class of problems, and supports either a partially or fully automated co-ordination approach. It is based on an approach from the field of distributed artificial intelligence, referred to as Partial Global Planning (Durfee 1988).
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...
详细信息
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.
There is a growing belief that the next generation of information processing systems will be based on the paradigm of Intelligent and Cooperative Information Systems (ICISs). Such systems will involve information agen...
详细信息
There is a growing belief that the next generation of information processing systems will be based on the paradigm of Intelligent and Cooperative Information Systems (ICISs). Such systems will involve information agents — distributed over the nodes of a common communication network — which work in a synergistic manner by exchanging information and expertise, coordinating their activities and negotiating how to solve parts of a common information-intensive problem. Along with motivating the importance of such systems the paper gives an overview of related research areas, notably distributed artificial intelligence (DAI) and distributed Databases (DDBs), and presents a generic architecture which views an ICIS as a community of communicating and cooperating intelligent information agents.
The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. ...
详细信息
ISBN:
(数字)9780470724200
ISBN:
(纸本)9780470060315
The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the “dimensions” of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. Cooperative Control of distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. Cooperative Control of distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.
Today, large manufacturing firms are no longer considered as monolithic organizations. They are rather considered like group or assembly that operates, communicates, and makes decisions as a whole and independently. T...
详细信息
Today, large manufacturing firms are no longer considered as monolithic organizations. They are rather considered like group or assembly that operates, communicates, and makes decisions as a whole and independently. Taking into account these considerations, in this paper we will show the complexity of decision mechanisms and to highlight the enormous advantage of adding a cognitive dimension to simulation models. To this end, we will present a simulation model based on discrete event simulation techniques in which the whole decision system is modeled by a set of agents. The proposed implementation model will be based on object-oriented techniques of simulation and will be validated using a pedagogical example.
The capabilities of an automated theorem prover's interface are essential for the effective use of (interactive) proof systems. [script L] ΩUI is a multi-modal interface that combines several features: a graphica...
详细信息
The capabilities of an automated theorem prover's interface are essential for the effective use of (interactive) proof systems. [script L] ΩUI is a multi-modal interface that combines several features: a graphical display of information in a proof graph, a selective term browser with hypertext facilities, proof and proof plan presentation in natural language, and an editor for adding and maintaining the knowledge base. [script L] ΩUI is realized in an agent-based client-server architecture and implemented in the concurrent constraint programming language Oz.
As agents see more use in dynamic, distributed information networks, information sharing facilitators, such as the SHADE matchmaker, and underlying knowledge-based agent communication protocols, such as the Knowledge ...
详细信息
As agents see more use in dynamic, distributed information networks, information sharing facilitators, such as the SHADE matchmaker, and underlying knowledge-based agent communication protocols, such as the Knowledge Query and Manipulation Language, will see increased use. We have created several communities of agents collaborating via KQML and matchmaking within the domains of collaborative engineering and satellite image retrieval. Based on these experiences, matchmaking has proven to be very beneficial for multi-agent systems, but we have also identified a number of issues and extensions that are not only vital to KQML-based matchmaking, but to inter-agent protocols in general. These include representational approaches to advertising complex databases, approaches to error recovery and response timing, maintaining consistency among information providers, scalability, security, persistent requests in information brokering, and the dilemma between explicit vs implicit brokering.
Intelligent and Cooperative Information Systems (ICIS) will have large numbers of distributed, heterogeneous agents interacting and cooperating to solve problems regardless of location, original mission, or platform. ...
详细信息
Intelligent and Cooperative Information Systems (ICIS) will have large numbers of distributed, heterogeneous agents interacting and cooperating to solve problems regardless of location, original mission, or platform. The agents in an ICIS will adapt to new and possibly surprising situations, preferably without human intervention. These systems will not only control a domain, but also will improve their own performance over time, that is, they will learn . This paper describes five heterogeneous learning agents and how they are integrated into an Integrated Learning System (ILS) where some of the agents cooperate to improve performance. The issues involve coordinating distributed, cooperating, heterogeneous problem-solvers, combining various learning paradigms, and integrating different reasoning techniques. ILS also includes a central controller, called The Learning Coordinator (TLC), that manages the control of flow and communication among the agents, using a high-level communication protocol. In order to demonstrate the generality of the ILS architecture, we implemented an application which, through its own experience, learns how to control the traffic in a telephone network, and show the results for one set of experiments. Options for enhancements of the ILS architecture are also discussed.
In this paper, we propose an approach to the design of multi-agent systems based on an original model of the mental activity of single agents. In particular, we introduce the concept of active mental entity, as a new ...
详细信息
In this paper, we propose an approach to the design of multi-agent systems based on an original model of the mental activity of single agents. In particular, we introduce the concept of active mental entity, as a new way of representing mental attitudes such as intentions and persuasions. The internal architecture of each agent is thus understood as a distributed system whose reasoning activity is determined by the interactions among active mental entities. Then, this architecture is extended in order to enable the agents to operate in a multi-agent context. A detailed description of the structure and operation of an agent and of a multi-agent system is thus provided. The implementation of the proposed paradigm is then illustrated and some performance examples are presented.
暂无评论