Using Ada to implement the operations management system in a community of experts

An architecture is described for the Space Station Operations Management System (OMS), consisting of a distributed expert system framework implemented in Ada. The motivation for such a scheme is based on the desire to integrate the very diverse elements of the OMS while taking maximum advantage of knowledge based systems technology. Part of the foundation of an Ada based distributed expert system was accomplished in the form of a proof of concept prototype for the KNOMES project (Knowledge-based Maintenance Expert System). This prototype successfully used concurrently active experts to accomplish monitoring and diagnosis for the Remote Manipulator System. The basic concept of this software architecture is named ACTORS for Ada Cognitive Task ORganization Scheme. It is when one considers the overall problem of integrating all of the OMS elements into a cooperative system that the AI solution stands out. By utilizing a distributed knowledge based system as the framework for OMS, it is possible to integrate those components which need to share information in an intelligent manner

Cooperative agent-based software architecture for distributed simulation

This paper proposes a cooperative multiagent model using distributed object-based systems for supporting distributed virtual environment and distributed simulation technologies for military and government applications. The agent model will use the condition-event driven rule based system as the basis for representing knowledge. In this model, the updates and revision of beliefs of agents corresponds to modifying the knowledge base. These agents are reactive and respond to stimulus as well as the environment in which they are embedded. Further, these agents are smart and can learn from their actions. The distributed agent-based software architecture will enable us to realise human behaviour model environment and computer-generated forces (also called computer-generated actor (CGA)) architectures. The design of the cooperative agent-based architecture will be based on mobile agents, interactive distributed computing models, and advanced logical modes of programming. This cooperative architecture will be developed using Java based tools and distributed databases

Ada and Knowledge-Based Systems: A Prototype Combining the Best of Both Worlds

We describe a software architecture based on Ada tasking and packaging which facilitates the construction of distributed knowledge-based systems. We used this architecture to build the Knowledge-Based Maintenance Expert System (KNOMES) prototype for the Remote Manipulator System (RMS) of the NASA Space Station Mobile Service Center. Each module of the system contains Ada packages of standard systems services, which interface with an artificial intelligence/ knowledge-based system (AI/KBS) language component that performs knowledge-based reasoning. By using Ada as the fundamental structure, we achieved a well-structured, maintainable program; by retaining the AI/KBS language component, we were able to capture the knowledge needed to solve illstructured, dynamic, and/or nonalgorithmic problems

Improving Knowledge Retrieval in Digital Libraries Applying Intelligent Techniques

Nowadays an enormous quantity of heterogeneous and distributed information is stored in the digital University. Exploring online collections to find knowledge relevant to a user’s interests is a challenging work. The artificial intelligence and Semantic Web provide a common framework that allows knowledge to be shared and reused in an efficient way. In this work we propose a comprehensive approach for discovering E-learning objects in large digital collections based on analysis of recorded semantic metadata in those objects and the application of expert system technologies. We have used Case Based-Reasoning methodology to develop a prototype for supporting efficient retrieval knowledge from online repositories. We suggest a conceptual architecture for a semantic search engine. OntoUS is a collaborative effort that proposes a new form of interaction between users and digital libraries, where the latter are adapted to users and their surroundings

An Effective Knowledge Management Environment Based on Knowledge Grid in Business Organizations

Ongoing transition of most of business enterprises to knowledge-based ones is a watershed event in the evolution of the global knowledge economies. This transition marks a paradigmatic shift from energy- based economies with traditional factors of production to information-based economies based upon knowledge assets. Accordingly, the objective of this paper is to develop a theoretical and pragmatic architecture of knowledge management system based on Knowledge Grid for better implementing knowledge management (KM) in business organizations to facilitate their vision of sustainable growth and development. This paper objectively analyzes the environmental problems that most of those enterprises, especially those knowledge-based ones have to face up in such a distributed, increasingly changing environment. Also the critical situations of knowledge management in those business organizations are outlined. Then a new theory about knowledge management, namely, knowledge systems engineering in introduced, which paves the way for better understanding knowledge management and lays the groundwork for constructing a more valid architecture of knowledge management system. And a new architecture of knowledge management system based on knowledge grid is proposed to solve those problems mentioned above, which may provide not only a friendly user interface for end-users to easily access and manage many kinds of Web resources but also a platform for those business organizations to successfully implementing knowledge management

PRAIS: Distributed, real-time knowledge-based systems made easy

This paper discusses an architecture for real-time, distributed (parallel) knowledge-based systems called the Parallel Real-time Artificial Intelligence System (PRAIS). PRAIS strives for transparently parallelizing production (rule-based) systems, even when under real-time constraints. PRAIS accomplishes these goals by incorporating a dynamic task scheduler, operating system extensions for fact handling, and message-passing among multiple copies of CLIPS executing on a virtual blackboard. This distributed knowledge-based system tool uses the portability of CLIPS and common message-passing protocols to operate over a heterogeneous network of processors

A Component-based Framework for Distributed Business Simulations in E-Business Environments

Simulations preserve the knowledge of complex dynamic systems and consequently transfer the knowledge of the cohesions of its elements to a specified target group. As the progress in information technology and therefore the dynamic e-business driven economy adapts even faster to the business demands, new ways to preserve this growing amount of knowledge have to be found. This paper presents an extensible business simulation framework which is realized as a component-based distributed Java Version 2 Enterprise Edition (J2EE) architecture. The framework aspires to offer an extensible and domain independent simulation environment which ensures the return of investment in the sense of implementing this framework once and extending it to the future requirements of diverse domains in e-business. The system architecture follows the requirements in offering distributed deployment of its components on highly standardized level by nevertheless staying vendor independent. The architecture itself was developed by model driven architecture (MDA)-conform software engineering methods using best of breed design patterns composed to a flexible micro-architecture which possess import facilities for simulation entities (business objects) and (business) processes from e-business solutions. Combining the features of the framework, the layered pattern driven micro-architecture, and the distributed J2EE architecture, the postulated knowledge transfer from rapid changes in e-business can be realized

Peer - Mediated Distributed Knowledge Management

Distributed Knowledge Management is an approach to knowledge management based on the principle that the multiplicity (and heterogeneity) of perspectives within complex organizations is not be viewed as an obstacle to knowledge exploitation, but rather as an opportunity that can foster innovation and creativity. Despite a wide agreement on this principle, most current KM systems are based on the idea that all perspectival aspects of knowledge should be eliminated in favor of an objective and general representation of knowledge. In this paper we propose a peer-to-peer architecture (called KEx), which embodies the principle above in a quite straightforward way: (i) each peer (called a K-peer) provides all the services needed to create and organize "local" knowledge from an individual's or a group's perspective, and (ii) social structures and protocols of meaning negotiation are introduced to achieve semantic coordination among autonomous peers (e.g., when searching documents from other K-peers). A first version of the system, called KEx, is imple-mented as a knowledge exchange level on top of JXTA