Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment : a case study

The issue of information sharing and exchanging is one of the most important issues in the areas of artificial intelligence and knowledge-based systems (KBSs), or even in the broader areas of computer and information technology. This paper deals with a special case of this issue by carrying out a case study of information sharing between two well-known heterogeneous uncertain reasoning models: the certainty factor model and the subjective Bayesian method. More precisely, this paper discovers a family of exactly isomorphic transformations between these two uncertain reasoning models. More interestingly, among isomorphic transformation functions in this family, different ones can handle different degrees to which a domain expert is positive or negative when performing such a transformation task. The direct motivation of the investigation lies in a realistic consideration. In the past, expert systems exploited mainly these two models to deal with uncertainties. In other words, a lot of stand-alone expert systems which use the two uncertain reasoning models are available. If there is a reasonable transformation mechanism between these two uncertain reasoning models, we can use the Internet to couple these pre-existing expert systems together so that the integrated systems are able to exchange and share useful information with each other, thereby improving their performance through cooperation. Also, the issue of transformation between heterogeneous uncertain reasoning models is significant in the research area of multi-agent systems because different agents in a multi-agent system could employ different expert systems with heterogeneous uncertain reasonings for their action selections and the information sharing and exchanging is unavoidable between different agents. In addition, we make clear the relationship between the certainty factor model and probability theory.

Towards a framework for exploring children's analytical thinking and creativity in technology

Technology education provides children with opportunities to be creative as they engage in problem solving and make products that address human needs. When thinking creatively, children generate new ideas through remote associations and brainstorming and this type of thinking is enhanced when attention is allowed to wander in a relaxed and uncompetitive environment. Research shows that the two mental states (generative and nongenerative/analytical) cannot exist simultaneously (Howard-Jones 2002). It follows that at some point in the technological process a child’s generative mental state needs to give way to a nongenerative, analytical state so that the child can focus on analysing information. This research project aims to investigate the impact of analytical thinking on creativity in the context of technology education in young children.

Building information modelling project decision support framework

Building Information Modelling (BIM) is an information technology [IT] enabled approach to managing design data in the AEC/FM (Architecture, Engineering and Construction/ Facilities Management) industry. BIM enables improved interdisciplinary collaboration across distributed teams, intelligent documentation and information retrieval, greater consistency in building data, better conflict detection and enhanced facilities management. Despite the apparent benefits the adoption of BIM in practice has been slow. Workshops with industry focus groups were conducted to identify the industry needs, concerns and expectations from participants who had implemented BIM or were BIM “ready”. Factors inhibiting BIM adoption include lack of training, low business incentives, perception of lack of rewards, technological concerns, industry fragmentation related to uneven ICT adoption practices, contractual matters and resistance to changing current work practice. Successful BIM usage depends on collective adoption of BIM across the different disciplines and support by the client. The relationship of current work practices to future BIM scenarios was identified as an important strategy as the participants believed that BIM cannot be efficiently used with traditional practices and methods. The key to successful implementation is to explore the extent to which current work practices must change. Currently there is a perception that all work practices and processes must adopt and change for effective usage of BIM. It is acknowledged that new roles and responsibilities are emerging and that different parties will lead BIM on different projects. A contingency based approach to the problem of implementation was taken which relies upon integration of BIM project champion, procurement strategy, team capability analysis, commercial software availability/applicability and phase decision making and event analysis. Organizations need to understand: (a) their own work processes and requirements; (b) the range of BIM applications available in the market and their capabilities (c) the potential benefits of different BIM applications and their roles in different phases of the project lifecycle, and (d) collective supply chain adoption capabilities. A framework is proposed to support organizations selection of BIM usage strategies that meet their project requirements. Case studies are being conducted to develop the framework. The results of the preliminary design management case study is presented for contractor led BIM specific to the design and construct procurement strategy.

Telecommunication technology and the professional development of teachers : challenge and opportunity

The thesis explores an effective model for using the internet in a distance training program for secondary school teachers. The professional development program, the dissertation, titled The Virtual University: Professional development for teachers, was initiated based on aspects of telecommunication technology and the professional development for Thai school teachers. The question of this program was “How could information technology be used in developing an appropriate professional development model for Thai teachers?” Prior to the project, the four research studies were conducted to formulate the related base line information and supported framework for the program development. The four researches are: (1) Telecommunication Technology in Thai Schools, (2) The Role of University on Science Teachers Development, (3) Computer Education Curriculum for Student Teachers: Theory and Practice, and (4) Teachers’ Perceptions of the Academic Link Project Between Schools and Universities for Teacher Professional Development. The first research study provides the information about the necessary basic factors for change in Thai secondary schools and the new insights and understandings about change in Thai schooling. The major findings were the understandings about teachers’ need for professional development, the available support in Thai school for professional development, and the limitations of professional development of teachers. The second research study provides the information about the roles of university faculty on initiation and operation of science teacher development programs, science teaching and learning resources centers, science instructional media design and production services, science teaching clinics, and science teachers’ associations. The third research study provides the conceptual framework for both preservice and inservice curriculum development program for teacher development. The last research study provides a base of descriptive information about the perspectives of school teachers towards the academic link project between schools and universities and the partnership which can assist in its establishment. The findings of these four research tasks were used for the formation of the framework of the dissertation. The EDNET Project, an example of teachers’ professional development through the information technology based training, was developed and implemented with ten school teachers in Khon Kaen.

Modeling intelligent agents for web-based information gathering

The recent emergence of intelligent agent technology and advances in information gathering have been the important steps forward in efficiently managing and using the vast amount of information now available on the Web to make informed decisions. There are, however, still many problems that need to be overcome in the information gathering research arena to enable the delivery of relevant information required by end users. Good decisions cannot be made without sufficient, timely, and correct information. Traditionally it is said that knowledge is power, however, nowadays sufficient, timely, and correct information is power. So gathering relevant information to meet user information needs is the crucial step for making good decisions. The ideal goal of information gathering is to obtain only the information that users need (no more and no less). However, the volume of information available, diversity formats of information, uncertainties of information, and distributed locations of information (e.g. World Wide Web) hinder the process of gathering the right information to meet the user needs. Specifically, two fundamental issues in regard to efficiency of information gathering are mismatch and overload. The mismatch means some information that meets user needs has not been gathered (or missed out), whereas, the overload means some gathered information is not what users need. Traditional information retrieval has been developed well in the past twenty years. The introduction of the Web has changed people's perceptions of information retrieval. Usually, the task of information retrieval is considered to have the function of leading the user to those documents that are relevant to his/her information needs. The similar function in information retrieval is to filter out the irrelevant documents (or called information filtering). Research into traditional information retrieval has provided many retrieval models and techniques to represent documents and queries. Nowadays, information is becoming highly distributed, and increasingly difficult to gather. On the other hand, people have found a lot of uncertainties that are contained in the user information needs. These motivate the need for research in agent-based information gathering. Agent-based information systems arise at this moment. In these kinds of systems, intelligent agents will get commitments from their users and act on the users behalf to gather the required information. They can easily retrieve the relevant information from highly distributed uncertain environments because of their merits of intelligent, autonomy and distribution. The current research for agent-based information gathering systems is divided into single agent gathering systems, and multi-agent gathering systems. In both research areas, there are still open problems to be solved so that agent-based information gathering systems can retrieve the uncertain information more effectively from the highly distributed environments. The aim of this thesis is to research the theoretical framework for intelligent agents to gather information from the Web. This research integrates the areas of information retrieval and intelligent agents. The specific research areas in this thesis are the development of an information filtering model for single agent systems, and the development of a dynamic belief model for information fusion for multi-agent systems. The research results are also supported by the construction of real information gathering agents (e.g., Job Agent) for the Internet to help users to gather useful information stored in Web sites. In such a framework, information gathering agents have abilities to describe (or learn) the user information needs, and act like users to retrieve, filter, and/or fuse the information. A rough set based information filtering model is developed to address the problem of overload. The new approach allows users to describe their information needs on user concept spaces rather than on document spaces, and it views a user information need as a rough set over the document space. The rough set decision theory is used to classify new documents into three regions: positive region, boundary region, and negative region. Two experiments are presented to verify this model, and it shows that the rough set based model provides an efficient approach to the overload problem. In this research, a dynamic belief model for information fusion in multi-agent environments is also developed. This model has a polynomial time complexity, and it has been proven that the fusion results are belief (mass) functions. By using this model, a collection fusion algorithm for information gathering agents is presented. The difficult problem for this research is the case where collections may be used by more than one agent. This algorithm, however, uses the technique of cooperation between agents, and provides a solution for this difficult problem in distributed information retrieval systems. This thesis presents the solutions to the theoretical problems in agent-based information gathering systems, including information filtering models, agent belief modeling, and collection fusions. It also presents solutions to some of the technical problems in agent-based information systems, such as document classification, the architecture for agent-based information gathering systems, and the decision in multiple agent environments. Such kinds of information gathering agents will gather relevant information from highly distributed uncertain environments.

Quality as the criterion for delivered information systems effectiveness

One of the major challenges of MIS activities is the difficulty in measuring the effectiveness of delivered systems. The principal purpose of my research is to explore this field in order to develop an instrument by which to measure such effectiveness. Conceptualisation of Information System (IS) Effectiveness has been substantially framed by DeLone and McLean's (1992) Success; Model. But with the innovation in Information Technology (IT) over the past decade, and the constant pressure in IT to improve performance, there is merit in undertaking a fresh appraisal of the issue. This study built on the model of IS Success developed by DeLone and MeLean, but was broadened to include related research from the domains of IS, Management and Marketing. This analysis found that an effective IS function is built on three pillars: the systems implemented; the information held and delivered by these systems; and, the service provided in support of the IS function. A common foundation for these pillars is the concept of stakeholder needs. In seeking to appreciate the effectiveness: of delivered IS applications in relation to the job performance of stakeholders, this research developed an understanding of what quality means in an IT context I argue that quality is a more useful criterion for effectiveness than the more customary measures of use and user satisfaction. Respecification of the IS Success Model was then proposed. The second phase of the research was to test this model empirically through judgment panels, focus groups and interviews. Results consistently supported the structure and components of the respecified model. Quality was determined as a multi-dimensional construct, with the key dimensions for the quality of delivered IS differing from those used in the research from other disciplines. Empirical work indicated that end-user stakeholders derived their evaluations of quality by internally evaluating perceived performance of delivered IS in relation to their expectations for such performance. A short trial explored whether, when overt measurement of expectations was concurrent with the measurement of perceptions, a more revealing appraisal of delivered IS quality was provided than when perceptions alone were measured. Results revealed a difference between the two measures. Using the New IS Success Model as the foundation, and drawing upon the related theoretical and empirical research, an instrument was developed to measure the quality/effectiveness of delivered IS applications. Four trials of this instrument, QUALIT, are documented. Analysis of results from preliminary trials indicates promise in terms of business value: the instrument is simple to administer and has the capacity to pinpoint areas of weakness. The research related to the respecification of the New IS Success Model and the associated empirical studies, including the development of QTJALIT, have both contributed to the development of theory about IS Effectiveness. More precisely, my research has reviewed the components of an information system, the dimensions comprising these components and the indicators of each, and based upon these findings, formulated an instrument by which to measure the effectiveness of a delivered IS.

Critical success factors for the requirements engineering process, with reference to quality management of information systems development

Preliminary research into the critical factors associated with software development/implementation identified three dimensions for successful implementation based on alignment of the requirements engineering process with business needs, change management process and quality of the implementation process. Research results demonstrate the link between the conceptual model for process quality and the process management attributes determined during the research.

Management framework for corporate telecommunication and data centre information security

Network security, particularly Internet security, is at the forefront of business and government networks. This research has discovered weaknesses in current professional practice, particularly in mitigation strategies to reduce the impacts of security violations in corporate telecommunications and data centres. The importance of integrating security policies, processes and operational practice is demonstrated. Leadership models and innovation mechanisms best suited to improved security design are also identified.

Managing realtime information flow between distributed discrete event simulation models

Investigates the creation of a method for the connection and communication of commercial off the shelf discrete-event simulation packages for simulation models of manufacturing systems. Through this research a method to connect different commercial off the shelf discrete-event simulation packages was successfully developed facilitating parallel development of models and the creation of extremely large models.

Using information and communications technology in higher education

A folio-based doctoral study comprising a dissertation, a major literature review, and a website. The dissertation identified key dimensions of blended learning environments created by the teachers in the study. These environments were characterised by different media blends and learning activities underpinned by resource-based learning approaches to teaching and learning.

Supporting information needs of senior citizens in community aged care

To address the challenge of an ageing population in an information society, it is important to introduce information systems to assist the aged people in maintaining and improving their quality of life. An understanding of what information aged people need, how they seek and use information, and how they adopt Information and Communication Technology (ICT) is required. This paper reports the findings of an empirical study undertaken in Australia to understand the information needs of senior citizens who reside in the community. The study aims to understand how ICT can support the independent living of senior people in the community from both the social and health perspectives. We offer a new understanding of the information needs of aged people in the community and extend the information systems research in aged care. This research also contributes to the development of innovative ICT enabled aged care service solutions in community aged care.

An empirical examination of alliances in the Australian technology industry

This paper attempts to reduce the research gap in the alliance learning literature by reporting the results of a study based on a conceptual model on the Australian ICT industry, which is tested through Structural Equation Modelling (SEM). The conceptual model includes six constructs (alliance performance, learning orientation, market orientation, relational norms, trust and knowledge intensity). Suggestions for practitioners involved in alliances and directions for future research are espoused.

The implementation of mobile technology in organizations : expanding individual use contexts

Mobile computing devices such as personal digital assistants, smart mobile phones, and other handheld computing devices hold much promise in terms of their organizational application. Many existing models of the individual acceptance and implementation of information technology in organizational contexts have been developed in the era of “at the office” computing such as MIS, office automation, groupware, and so forth. We conducted two in-depth case studies of the implementation of mobile technology in healthcare organizations. The studies highlight interrelated individual use contexts due to the mobility of the technology: the individual as employee, as professional, as private user, and as member of society. The cases show that influences emanating from these use contexts impacted on the individual adoption of the technology within the organization. While broad extra-organizational influences are incorporated in some existing individual technology adoption models, we show that it becomes relevant to accommodate these influences more specifically in research models of mobile computing in organizations. Based on the extant literature and the case study data we pave the way toward more comprehensive models of the adoption and implementation of mobile technologies in organizations.

A conceptual framework for the implementation of enterprise information portals in large organizations

Addressing the diversity in information requirements across the enterprise is a central challenge in enterprise content management. Enterprise information portals (EIPs) hold promise in this regard, offering each user a gateway to customized and personalized content. However, in large organizations EIP implementers face the complexity of tailoring portals for potentially thousands of users. A conceptual framework based on marketing fundamentals is developed to inform EIP implementation in this respect. It is argued that EIP implementers should view their user community as a number of distinct segments in order to address divergent needs more specifically (as opposed to a ‘one size fits all’ approach). For each identified segment, a ‘mix’ of content (product), distribution (place), promotion and price (cost) should be considered. The framework is applied to two cases of EIP implementation in large organizations. It is proposed that segmentation enables better planning of the overall EIP implementation effort. Considerations such as the number of user segments, customization, and personalization of content, and the funding of EIP development in large organizations are also discussed. The concepts elaborated here also hold theoretical relevance for other IS implementation contexts that involve very large usercommunities with diverse information

Cross-cultural research issues in developing international tourist markets for cultural events

Cross-cultural issues and research are fundamental to much tourism marketing and especially to developing international tourist markets for cultural events and festivals. With increasing globalization aided by developments in travel and information technology, growing international tourist markets present potentially significant and increasing market opportunities for cultural events throughout the world. In an increasingly competitive marketplace, in order to attract tourist markets, events and festivals need an understanding of these markets and the relevant marketing theories, practices, and strategies. Understanding tourists’ motivation and behavior is essential to identifying attractive tourist market segments in the first instance and then to developing appropriate marketing strategies to attract these segments. Within this environment, the importance of cross-cultural issues and research to tourism marketing and the development of tourist markets are apparent, and yet cross-cultural tourism research to date has been limited. Cross-cultural tourism research in relation to cultural events is even more limited. Cross-cultural tourism marketing research also presents some unique challenges, numerous environmental and methodological problems, and associated costs. These numerous problems, challenges, and costs may in their own right prevent cross-cultural issues and problems from being investigated. Some of these problems can also make the results of some of the existing crosscultural research suspect. Such problems could well account for the limited amount of cross-cultural tourism marketing research that has been undertaken, even though the potential benefits from such research can be great. This article examines the use and application of cross-cultural tourism research by cultural events. It also outlines some of the unique challenges, issues, and problems that need to be addressed in future crosscultural tourism marketing research to improve its application, use, and findings, and ensure the benefits outweigh the costs.