Development of a knowledge acquisition tool for an expert system flight status monitor

Two of the main issues in artificial intelligence today are knowledge acquisition dion and knowledge representation. The Dryden Flight Research Facility of NASA's Ames Research Center is presently involved in the design and implementation of an expert system flight status monitor that will provide expertise and knowledge to aid the flight systems engineer in monitoring today's advanced high-performance aircraft. The flight status monitor can be divided into two sections: the expert system itself and the knowledge acquisition tool. The knowledge acquisition tool, the means it uses to extract knowledge from the domain expert, and how that knowledge is represented for computer use is discussed. An actual aircraft system has been codified by this tool with great success. Future real-time use of the expert system has been facilitated by using the knowledge acquisition tool to easily generate a logically consistent and complete knowledge base

The Effects of Finger-Walking in Place (FWIP) on Spatial Knowledge Acquisition in Virtual Environments

Spatial knowledge, necessary for efficient navigation, comprises route knowledge (memory of landmarks along a route) and survey knowledge (overall representation like a map). Virtual environments (VEs) have been suggested as a power tool for understanding some issues associated with human navigation, such as spatial knowledge acquisition. The Finger-Walking-in-Place (FWIP) interaction technique is a locomotion technique for navigation tasks in immersive virtual environments (IVEs). The FWIP was designed to map a human’s embodied ability overlearned by natural walking for navigation, to finger-based interaction technique. Its implementation on Lemur and iPhone/iPod Touch devices was evaluated in our previous studies. In this paper, we present a comparative study of the joystick’s flying technique versus the FWIP. Our experiment results show that the FWIP results in better performance than the joystick’s flying for route knowledge acquisition in our maze navigation tasks

Constructing a second language: some final thoughts

All the papers in this special section address issues central to cognitive linguistics research: usage-based models with their focus on frequency; multi-word units and the relationship between lexical and grammatical knowledge; and the nature of lexical meaning, especially construal or “thinking for speaking”. Cognitive Linguistics is thus clearly a useful paradigm for L2 research. The contributors also emphasise that many of the processes operating in L1 acquisition are relevant in L2A as well. In this paper, I discuss the opposite side of the coin: how cognitively-inspired L2 research can inform work on first language learning and theoretical linguistics, focussing in particular on three issues that have been extensively studied in an L2 context but neglected by the other language sciences: transfer of knowledge between constructions, the role of explicit learning, and individual differences in linguistic knowledg

Language learning and language acquisition in online forums

Innovations in computer technology have made possible new platforms for supporting and building shared knowledge in meaningful and creative ways to enhance language learning and acquisition. Platforms like web forums, webinars, and bulletin boards in most Learner Management Systems (LMS) provide the additional platform for learning but are seldom utilized effectively to promote student interaction in language learning and acquisition. This paper reports on English Language Studies (ELS) students’ voices of how they participated and benefitted in online forums (OLFs) during their language courses. Findings from the focus group interviews with undergraduate students showed that they are more than ready to adopt OLFs as a learning platform in addition to classroom interactions. However, better effort on the part of the instructors is needed for OLFs to be beneficial. The issues that emerged in the utilization of these forums will propose future directions in the implementation of OLFs to enhance learning and acquisition among ESL students

European Acquisitions in the United States:Re-examining Olivetti-Underwood Fifty Years Later

While Italy's catch-up in the course of the 20th century has been nothing short of extraordinary, it has failed to produce a large number of global business players. Nonetheless, half a century ago an Italian company concluded what was at the time the largest-ever foreign takeover of a US company. The paper analyzes the Olivetti's acquisition of Underwood and frames it in the broader picture of the literature on the management and performance of foreign companies in the United States. We provide a historical narrative focused on three main issues: 1) head office control and subsidiary autonomy; 2) Olivetti's adaptation to the American business system; 3) the development of internal knowledge resources within the subsidiary. Lessons and implications are relevant for business historians and management scholars in general.FDI, acquisition, control, adaptation, knowledge resources, Olivetti, Underwood

Young influences

The major environmental issues in Malta are related to its small size and high population density, which is augmented by an influx of visitors each year. Not much is known about the environmental knowledge of young people in the Maltese islands, or of the main actors that are responsible for the acquisition and development of environmental knowledge amongst young Maltese. Research was undertaken during 2007 and 2008 to address this gap, comprising a class administered questionnaire survey completed by 447 students in the post secondary age range. Stratified sampling was used within the studied colleges and schools to ensure that youth studying languages, sciences, business, and humanities were represented according to the actual percentages at the school level.peer-reviewe

Here where it lives … bioscleave

This essay introduces the work of Arakaw and Gins to interdisciplinary specialists and scholars and practitioners who are concerned with issues of art-science convergence. The co-authors discuss several points of view to the work of these artist-turned-architects and address the difficulties and challenges that their work represents in terms of the convergence and complexity of multiple dicourse and the practical challenges to embodied experience, technlogy-based approaches ot knowledge acquisition and perceptually-based learning environments

Knowledge management, absorptive capacity and organisational culture: A case study from Chinese SMEs

Copyright © 2008 Inderscience Enterprises Ltd. This is the author's accepted manuscript. The final published article is available from the link below.Based on the analysis of an innovative medium sized enterprise from mainland China, this paper investigated the Knowledge Management (KM) issues by focusing on its KM enablers and process. This paper attempts to investigate how Chinese enterprises absorb knowledge from external sources; how they developed culture to facilitate Knowledge Management Processes (KMPs) and what major challenges they raise for the future by looking at the case study of a Chinese Small and Medium-sized Enterprises (SMEs). The case study indicates that Chinese enterprises emphasised knowledge acquisition and the capacities of knowledge absorption, application, creation, sharing and integration as vital to sustaining competitive advantage for these firms. Corporative organisational culture also has significant impact on the KM in those enterprises

Meta-tools for software development and knowledge acquisition

The effectiveness of tools that provide support for software development is highly dependent on the match between the tools and their task. Knowledge-acquisition (KA) tools constitute a class of development tools targeted at knowledge-based systems. Generally, KA tools that are custom-tailored for particular application domains are more effective than are general KA tools that cover a large class of domains. The high cost of custom-tailoring KA tools manually has encouraged researchers to develop meta-tools for KA tools. Current research issues in meta-tools for knowledge acquisition are the specification styles, or meta-views, for target KA tools used, and the relationships between the specification entered in the meta-tool and other specifications for the target program under development. We examine different types of meta-views and meta-tools. Our current project is to provide meta-tools that produce KA tools from multiple specification sources--for instance, from a task analysis of the target application

Corpus-Driven Knowledge Acquisition for Discourse Analysis

The availability of large on-line text corpora provides a natural and promising bridge between the worlds of natural language processing (NLP) and machine learning (ML). In recent years, the NLP community has been aggressively investigating statistical techniques to drive part-of-speech taggers, but application-specific text corpora can be used to drive knowledge acquisition at much higher levels as well. In this paper we will show how ML techniques can be used to support knowledge acquisition for information extraction systems. It is often very difficult to specify an explicit domain model for many information extraction applications, and it is always labor intensive to implement hand-coded heuristics for each new domain. We have discovered that it is nevertheless possible to use ML algorithms in order to capture knowledge that is only implicitly present in a representative text corpus. Our work addresses issues traditionally associated with discourse analysis and intersentential inference generation, and demonstrates the utility of ML algorithms at this higher level of language analysis. The benefits of our work address the portability and scalability of information extraction (IE) technologies. When hand-coded heuristics are used to manage discourse analysis in an information extraction system, months of programming effort are easily needed to port a successful IE system to a new domain. We will show how ML algorithms can reduce thisComment: 6 pages, AAAI-9