Integration framework for intelligent manufacturing processes

In this article, we describe a new approach to applying distributed artificial intelligence techniques to manufacturing processes. The construction of intelligent systems is one of the most important techniques among artificial intelligence research. Our goal is to develop an integrated intelligent system for real time manufacturing processes. An integrated intelligent system is a large knowledge integration environment that consists of several symbolic reasoning systems (expert systems) and numerical computation packages. These software programs are controlled by a meta-system which manages the selection, operation and communication of these programs. A meta-system can be implemented in different language environments and applied to many disciplines. This new architecture can serve as a universal configuration to develop high performance intelligent systems for many complicated industrial applications in real world domains.To whom all correspondence should be addressed.     

Cooperation Requirements Planning (CRP) for multiprocessors: Optimal assignment and execution planning

Cooperation is considered an essential attribute of intelligent multi-machine systems. It enhances their flexibility and reliability. Cooperation Requirement Planning (CRP) is the process of generating a consistent and coordinated global execution plan for a set of tasks to be completed by a multi-machine system based on the task cooperation requirements and interactions. CRP is divided into two steps: CRP-I which matches the task requirements to machine and system capabilities to generate cooperation requirements. It also generates task precedence, machine operation, and system resource constraints. CRP-II uses the cooperation requirements and various constraints to generate a task assignment and coordinated and consistent global execution plan. The global execution plan specifies an ordered sequence of actions and the machine sets that execute them such that the assigned tasks are successfully completed, all the constraints are resolved, and the desired performance measure optimized.In this paper, we describe the CRP-II methodology based on the concepts of planning for multiple goals with interactions. Each task is considered to be a goal, and the CRP-I process is viewed as generating alternate plans and associated costs to accomplish each goal. Five different interactions are specified between the various plans: action combination, precedence relation, resource sharing, cooperative action, and independent action. The CRP-II process is viewed as selecting a plan to satisfy each goal and resolving the interactions between them. A planning strategy is proposed which performs plan selection and interaction resolution simultaneously using a best-first search process to generate the optimal global plan.     

基于DF的协作节点选择及功率分配策略研究

对于无线通信系统来说,特别是单天线节点无线通信系统,采用协作通信技术可以有效地提高系统性能.其中,协作节点选择及协作策略是协作通信需要考虑的两个基本问题.以容量最大化为目标,基于DF中继模式,本文研究了协作节点选择及功率分配策略问题,结果表明,当协作节点满足一定条件时并采用合理的功率分配策略可有效提高系统容量.     

EAFoC: Enterprise Architecture Framework Based on Commonality

The recent rapid development in information systems （ISs） has resulted in a critical need for integration and interoperability between heterogeneous ISs in various domains, using specific commonalities. However, stovepipe systems have been caused due to inconsistencies in planning IS architecture among stakeholders. So far, there has been no research on an enterprise architecture framework （EAF） that can satisfy with the coefficient factors of system architecture （SA） and enterprise architecture （EA）. This paper proposes a new EAF that can resolve the problems inherent in existing legacy EAFs and their features. EAFoC （Enterprise Architecture Framework based on Commonality） is based on commonality that can be satisfied as the coefficient factors in both SA and EA within a common information technology （IT） domain. Thus, it should be possible to integrate an established heterogeneous framework for each stakeholder＇s view. Consequently, the most important contribution of this paper is to establish the appropriate EAFoC for the development of consistent IS architecture, smooth communication among stakeholders, systematic integration management of diversified and complicated new IT technologies, interoperability among heterogeneous ISs, and reusability based on commonality with other platforms.     

Decision-theoretic cooperative sensor planning

This paper describes a decision-theoretic approach to cooperative sensor planning between multiple autonomous vehicles executing a military mission. For this autonomous vehicle application, intelligent cooperative reasoning must be used to select optimal vehicle viewing locations and select optimal camera pan and tilt angles throughout the mission. Decisions are made in such a way as to maximize the value of information gained by the sensors while maintaining vehicle stealth. Because the mission involves multiple vehicles, cooperation can be used to balance the work load and to increase information gain. This paper presents the theoretical foundations of our cooperative sensor planning research and describes the application of these techniques to ARPA's Unmanned Ground Vehicle program     

Integrating business process simulation and information system simulation for performance prediction

Business process (BP) designs and enterprise information system (IS) designs are often not well aligned. Missing alignment may result in performance problems at run-time, such as large process execution time or overloaded IS resources. The complex interrelations between BPs and ISs are not adequately understood and considered in development so far. Simulation is a promising approach to predict performance of both BP and IS designs. Based on prediction results, design alternatives can be compared and verified against requirements. Thus, BP and IS designs can be aligned to improve performance. In current simulation approaches, BP simulation and IS simulation are not adequately integrated. This results in limited prediction accuracy due to neglected interrelations between the BP and the IS in simulation. In this paper, we present the novel approach Integrated Business IT Impact Simulation (IntBIIS) to adequately reflect the mutual impact between BPs and ISs in simulation. Three types of mutual impact between BPs and ISs in terms of performance are specified. We discuss several solution alternatives to predict the impact of a BP on the performance of ISs and vice versa. It is argued that an integrated simulation of BPs and ISs is best suited to reflect their interrelations. We propose novel concepts for continuous modeling and integrated simulation. IntBIIS is implemented by extending the Palladio tool chain with BP simulation concepts. In a real-life case study with a BP and IS from practice, we validate the feasibility of IntBIIS and discuss the practicability of the corresponding tool support.     

Using XML for Supplemental Hypertext Support

Our overall research goal is providing hypertext functionality through the WWW to hypertext-unaware information systems with minimal or no changes to the information systems. Information systems dynamically generate their contents and thus require some mapping mechanism to automatically map the generated contents to hypertext constructs (nodes, links, and link markers) instead of hypertext links being hard-coded over static contents. No systematic approach exists, however, for building mapping routines to create useful links that give users direct access to the ISs' primary functionality, give access to metainformation about IS objects, and enable annotation and ad hoc (user-declared) linking. This paper contributes a procedure for analyzing ISs and building mapping routines that supplement information systems with hypertext support. This paper also contributes an eXtensible Markup Language (XML) DTD that declares a set of elements and attributes for representing mapped information in a human-readable, machine-readable, structured, and semantic way. We implemented a prototype to demonstrate the feasibility of using XML to represent mapped information.     

Business data mining — a machine learning perspective

The objective of this paper is to inform the information systems (IS) manager and business analyst about the role of machine learning techniques in business data mining. Data mining is a fast growing application area in business. Machine learning techniques are used for data analysis and pattern discovery and thus can play a key role in the development of data mining applications. Understanding the strengths and weaknesses of these techniques in the context of business is useful in selecting an appropriate method for a specific application. The paper, therefore, provides an overview of machine learning techniques and discusses their strengths and weaknesses in the context of mining business data. A survey of data mining applications in business is provided to investigate the use of learning techniques. Rule induction (RI) was found to be most popular, followed by neural networks (NNs) and case-based reasoning (CBR). Most applications were found in financial areas, where prediction of the future was a dominant task category.     

An intelligent control and decision approach for adaptive systems

An intelligent control and decision-making (ICD) approach that integrates expert systems technology with adaptive algorithms is presented. The controller parameters of adaptive systems can be determined using human expertise and knowledge, and they can also be adjusted based on active monitoring and identification. Decision-making, fine tuning and inexact reasoning provide the end-user and the control engineers with a natural and integrated methodology for use with intelligent control systems. Computer simulation results demonstrate the utility of the proposed technique that is an effective intelligent control and decision approach. The ICD system is implemented using a Lisp based expert system shell on an IBM PC.     

综合推理与智能书法创作

In this paper, we address the demanding task of developing intelligent systems equipped with machine creativity that can perform design tasks automatically. The main challenge is how to model human beings' creativity mathematically and mimic such creativity computationally. We propose a ``synthesis reasoning model" as the underlying mechanism to simulate human beings' creative thinking when they are handling design tasks. We present the theory of the synthesis reasoning model, and the detailed procedure of designing an intelligent system based on the model. We offer a case study of an intelligent Chinese calligraphy generation system which we have developed. Based on implementation experiences of the calligraphy generation system as well as a few other systems for solving real-world problems, we suggest a generic methodology for constructing intelligent systems using the synthesis reasoning model.     

The intelligent help system COMFOHELP

The paper is concerned with the question of whether and under what conditions active help systems with plan recognition components that have been developed in the environment of artificial intelligence research are able to prove their value in the real context of commercial application programs. The question is investigated using the development of the COMFOHELP intelligent help system as an example. COMFOHELP supports the COMFOTEX graphical text processing program and has been developed by the Linguistic Information Science Group at the University of Regensburg since 1988. The system recognizes erroneous and suboptimal plans pursued by the user by analyzing the dialog history and comparing them with the correct plan for achieving the user's goal.Section 2 discusses the research situation and elaborates on those problems which up to now prevented research concepts for plan recognition and intelligent help systems from being practically applied. Testing error situations empirically is a first prerequisite since potential erroneous plans can only be established in real-world tests. The second prerequisite is a special system architecture which counteracts the problem of ambiguities in plan recognition. Section 3 introduces a first still restricted prototype version of COMFOHELP whose efficiency was verified in a statistical hypothesis test. The users performing their text processing tasks with the support of COMFOHELP came off significantly better than members of a reference group working without the intelligent help. Section 4 shows that the proposed COMFOHELP system architecture is reconfirmed by the results of extensive empirical investigations (with more than 100 users) of erroneous plans when using a more complex version of COMFOTEX. The architecture still proves to be worthwhile even when functionality is increased by a factor of three to four.     

Defining information systems as work systems: implications for the IS field

The lack of an agreed upon definition of information system (IS) is one of many obstacles troubling the academic IS discipline. After listing a number of definitions of IS, this paper defines IS as a special case of work system as defined in Alter (1999a). This definition has many desirable characteristics: it is easy to understand; differentiates IS from information technology (IT); covers totally manual, partially automated, and totally automated ISs; links to a life cycle model that generates many insights about development and implementation problems; provides a simple guideline that helps in interpreting common IS/IT jargon; and has other useful implications related to IS concepts, IS terminology, and the analysis and design of ISs. The paper presents the proposed IS definition and evaluates the definition in terms of simplicity, clarity, scope, systematic power, explanatory power, validity, reliability, and fruitfulness. An Appendix summarizes previously published concepts and two frameworks that flow from the proposed definition and are useful for appreciating many points in the evaluation section.     

A framework for cooperative work: An approach based on the intentionality

The aim of this work is to elaborate rational interaction between intelligent systems, particularly when these systems have to resolve together a given task.Firstly, inherent problems of distributed problem solving are discussed. In the centre of these problems emerges on one hand, the difficulty in building an organizational structure and its dynamic for cooperative intelligent systems, and on the other hand the difficulty for the intelligent systems to know what is their degree of cooperation and what is their information exchange policy.To resolve these problems, the first part of this paper explores basic principles governing the rational balance among an agent's beliefs, actions, and intentions. Then, the second part treats the planning in the multi-agent environment. In this case, a plan is not considered as a sequence of actions executed by an agent in order to achieve his goal, but as a mental frame including his beliefs, his commitments, and his intentions. Then this planning method serves as rational interaction between intelligent systems in which the communicative acts expressed in formal language take place. Finally, the formulation of cooperative strategies between intelligent systems complete this work. These strategies are simulated and valued in the concrete environment of air traffic control.     

Mathematical model of IRIS replication mechanism for the simulation of tactical networks

The Multilateral Interoperability Programme (MIP) was established to promote more successful and better harmonized operational functions for international peace-keeping forces. The C2IEDM/JC3IEDM (Command and Control Information Exchange Data Model) ensures the interconnection of Command and Control Information Systems (C2ISs) throughout all levels, from the corps down to the lower ranks. The usability of C2ISs highly correlates with the capacities of data information carriers, and the need is growing for greater capacity and reliability of transmission media and cryptographic message security. Simulation of tactical networks is an important task in planning military missions. Such methodologies assure a higher probability of success during critical tactical operations. This article focuses on a new radio network modeling method for the C2IS, which is verified by the OPNET simulation environment. This modeling method can be used in tactical radio network planning and optimization processes.     

EFDEX: A Knowledge-Based Expert System for Functional Design of Engineering Systems

This paper presents a knowledge-based system, ‘EFDEX’, the Engineering Functional Design Expert, which was developed using an expert system shell, CLIPS 6.1, to perform intelligent functional design of engineering systems. On the basis of a flexible, causal and hierarchical functional modeling framework, we propose a knowledge-based functional reasoning methodology. By using this intelligent functional reasoning strategy, physical behavior can be reasoned out from a desired function or desired behavior, and inter-connection of these behaviors is possible when there is compatibility between the functional output of one and the corresponding functional requirement (e.g. driving input) of the next one. In addition, a complicated, desired function which cannot be matched with the functional output of any behavior after searching the object-oriented behavior base, will be automatically decomposed into less complex sub-functions by means of relevant function decomposition rules. An intelligent system for the functional design of an automatic assembly system provides an application of this intelligent design environment, and a demonstration of its methodology. In this paper, a knowledge-based functional representation scheme which integrates two popular AI representation techniques (object-oriented representation and rule-based representation) is also proposed as a prelude to a knowledge-based functional design system     

Contextual influences on self-control of is professionals engaged in systems development

In today's turbulent business environment, there is a move away from traditional hierarchical relations and governance within organizations, and a move toward increased reliance on self-control, where an individual sets his own goals, monitors his own work, and rewards or sanctions himself accordingly. Since the use of self control is often recommended in an environment of task complexity and ambiguity, systems development would seem to provide an excellent context in which to study it. The goal of this research is to examine contextual factors (work unit structure and knowledge technology) that influence IS project leaders' perceptions of self-control. To meet this goal, two studies were carried out: a survey of IS professionals and a series of three case studies of systems development efforts. Overall, the results suggest that IS project leaders' perceptions of self-control are highest when they have considerable job experience, when they are able to further refine existing development procedures, and when they are involved in smaller, less-complex systems development projects. Implications for the practice of systems development are discussed.     

ON THE PROBLEM OF REPRESENTATION IN LOCKEAN AND DIALECTICAL BELIEF SYSTEMS: A SYSTEMS APPROACH TO POLICY ANALYSIS

This paper explores the problems that are associated with building a model (representation) of two systems which are central to the field of policy analysis. The systems are the Lockean and Dialectical Inquiring Systems (ISs). Given two or more belief systems, a Lockean IS will attempt to secure maximum agreement between them, whereas a Dialectical IS will attempt to secure maximum disagreement as the basis for forming a policy.     

Model formulation as a problem-solving task: Computer-assisted engineering modeling

A central purpose of knowledge acquisition technology is to assist with the formulation of domain models that underlie knowledge systems. In this article we examine the model formulation process itself as a problem-solving task. Drawing from AI research in qualitative reasoning about physical systems, we characterize the model formulation task in terms of the inputs, the reasoning subtasks, and the knowledge needed to perform the problem solving. We describe the elements of a high-level representation of modeling knowledge, and techniques for providing intelligent assistance to the model builder. Applying the results from engineering modeling to knowledge acquisition in general, we identify properties of the representation that facilitate the construction of knowledge systems from libraries of reusable models. © 1993 John Wiley & Sons, Inc.     

Modeling and evaluating design alternatives for an on-lineinstrumentation system: a case study

This paper demonstrates the use of a model-based evaluation approach for instrumentation systems (ISs). The overall objective of this study is to provide early feedback to tool developers regarding IS overhead and performance; such feedback helps developers make appropriate design decisions about alternative system configurations and task scheduling policies. We consider three types of system architectures: network of workstations (NOW), symmetric multiprocessors (SMP), and massively parallel processing (MPP) systems. We develop a Resource OCCupancy (ROCC) model for an on-line IS for an existing tool and parameterize it for an IBM SP-2 platform. This model is simulated to answer several “what if” questions regarding two policies to schedule instrumentation data forwarding: collect-and-forward (CF) and batch-and-forward (BF). In addition, this study investigates two alternatives for forwarding the instrumentation data: direct and binary tree forwarding for an MPP system. Simulation results indicate that the BF policy can significantly reduce the overhead and that the tree forwarding configuration exhibits desirable scalability characteristics for MPP systems. Initial measurement-based testing results indicate more than 60 percent reduction in the direct IS overhead when the BF policy was added to Paradyn parallel performance measurement tool