TARGET: Rapid Capture of Process Knowledge

TARGET (Task Analysis/Rule Generation Tool) represents a new breed of tool that blends graphical process flow modeling capabilities with the function of a top-down reporting facility. Since NASA personnel frequently perform tasks that are primarily procedural in nature, TARGET models mission or task procedures and generates hierarchical reports as part of the process capture and analysis effort. Historically, capturing knowledge has proven to be one of the greatest barriers to the development of intelligent systems. Current practice generally requires lengthy interactions between the expert whose knowledge is to be captured and the knowledge engineer whose responsibility is to acquire and represent the expert's knowledge in a useful form. Although much research has been devoted to the development of methodologies and computer software to aid in the capture and representation of some types of knowledge, procedural knowledge has received relatively little attention. In essence, TARGET is one of the first tools of its kind, commercial or institutional, that is designed to support this type of knowledge capture undertaking. This paper will describe the design and development of TARGET for the acquisition and representation of procedural knowledge. The strategies employed by TARGET to support use by knowledge engineers, subject matter experts, programmers and managers will be discussed. This discussion includes the method by which the tool employs its graphical user interface to generate a task hierarchy report. Next, the approach to generate production rules for incorporation in and development of a CLIPS based expert system will be elaborated. TARGET also permits experts to visually describe procedural tasks as a common medium for knowledge refinement by the expert community and knowledge engineer making knowledge consensus possible. The paper briefly touches on the verification and validation issues facing the CLIPS rule generation aspects of TARGET. A description of efforts to support TARGET's interoperability issues on PCs, Macintoshes and UNIX workstations concludes the paper

The challenge of the e-Agora metrics: the social construction of meaningful measurements

'How are we progressing towards achieving sustainable development in the EU's desired knowledge society?' Current lists of indicators, indices and assessment tools, which have been developed for measuring and displaying performance at different spatial levels, show that progress has been made. However, there are still a very large number of indicators, perhaps the majority, most specifically those which relate to social and political issues, that are difficult to capture. Issues such as intergenerational equity, aesthetics and governance come into this category. 'How is it possible to measure these and capture their full meaning and represent this back meaningfully to disparate groups of stakeholders in a society?' This paper will discuss these issues, highlighting the need for new methods and an alternative view of how to go about the capture and representation of the types of data with which we need to wor

A failure management prototype: DR/Rx

This failure management prototype performs failure diagnosis and recovery management of hierarchical, distributed systems. The prototype, which evolved from a series of previous prototypes following a spiral model for development, focuses on two functions: (1) the diagnostic reasoner (DR) performs integrated failure diagnosis in distributed systems; and (2) the recovery expert (Rx) develops plans to recover from the failure. Issues related to expert system prototype design and the previous history of this prototype are discussed. The architecture of the current prototype is described in terms of the knowledge representation and functionality of its components

GATOR: Requirements capturing of telephony features

We are developing a natural language-based, requirements gathering system called GATOR (for the GATherer Of Requirements). GATOR assists in the development of more accurate and complete specifications of new telephony features. GATOR interacts with a feature designer who describes a new feature, set of features, or capability to be implemented. The system aids this individual in the specification process by asking for clarifications when potential ambiguities are present, by identifying potential conflicts with other existing features, and by presenting its understanding of the feature to the designer. Through user interaction with a model of the existing telephony feature set, GATOR constructs a formal representation of the new, 'to be implemented' feature. Ultimately GATOR will produce a requirements document and will maintain an internal representation of this feature to aid in future design and specification. This paper consists of three sections that describe (1) the structure of GATOR, (2) POND, GATOR's internal knowledge representation language, and (3) current research issues

Review of research in feature-based design

Research in feature-based design is reviewed. Feature-based design is regarded as a key factor towards CAD/CAPP integration from a process planning point of view. From a design point of view, feature-based design offers possibilities for supporting the design process better than current CAD systems do. The evolution of feature definitions is briefly discussed. Features and their role in the design process and as representatives of design-objects and design-object knowledge are discussed. The main research issues related to feature-based design are outlined. These are: feature representation, features and tolerances, feature validation, multiple viewpoints towards features, features and standardization, and features and languages. An overview of some academic feature-based design systems is provided. Future research issues in feature-based design are outlined. The conclusion is that feature-based design is still in its infancy, and that more research is needed for a better support of the design process and better integration with manufacturing, although major advances have already been made

Build Your Resume and Leave an Impact: Publish in The Cupola

The Cupola actively serves as a resistance to the academic publishing system that makes knowledge exclusive to the wealthy and privileged who have the ability to access it. Instead of keeping scholarship “behind the paywall” with high subscription costs, The Cupola and the other open repositories keep the knowledge freely accessible to everyone at any time, anywhere in the world. The Cupola has only existed since April 2012, but we have already reached 1 million downloads (...) To find out more about how The Cupola is perceived on the campus and how to make more students interested in student nominations, I talked to professors, current students and alumni from Gettysburg College. We discussed the issues of representation in writing and publishing and the role of The Cupola in comparison. Thus, this article is a collection of various accounts on the importance of student scholarship and a collection of advice on how to use The Cupola to your benefit. [excerpt

Application of AI Principles to Constraint Managementin Intelligent User Interfaces

This paper describes the application of artificial intelligence principles to constraint management in intelligent user interfaces. Following a description of the problem area, I discuss reasoning models, design knowledge representation, and implementation. User acceptance issues and a current study that applies AI principles to constraints also are addresse

Avatars Going Mainstream: Typology of Tropes in Avatar-Based Storytelling Practices

Due to the growing popularity of video games, gaming itself has become a shared experience among media audiences worldwide. The phenomenon of avatar-based games has led to the emergence of new storytelling practices. The paper proposes a typology of tropes in these avatar-based narratives focusing on non-game case studies. Suggested tropes are also confronted with the latest research on avatars in the area of game studies and current knowledge of the issues concerning the player-avatar relationship. Some of the most popular misconceptions regarding the gameplay experience and its representation in non-game media are exposed as a result of this analysis. The research confirms that popular culture perceives gaming experience as closely related to the player identity, as the latter inspires new genres of non-game narratives

How Is a Knowledge Representation System Like a Piano?

The research reported here was supported by National Institutes of Health Grant No. 1 P41 RR 01096-02 from the Division of Research Resources, and was conducted at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology.In the summer of 1978 a decision was made to devote a special issue of the SIGART newsletter to the subject of knowledge representation research. To assist in ascertaining the current state of people's thinking on this topic, the editors (Ron Brachman and myself) decided to circulate an informal questionnaire among the representation community. What was originally planned as a simple list of questions eventually developed into the current document, and we have decided to issue it as a report on its own merits. The questionnaire is offered here as a potential aid both for understanding knowledge representation research, and for analysing the philosophical foundations on which that research is based. The questionnaire consists of two parts. Part I focuses first on specific details, but moves gradually towards more abstract and theoretical questions regarding assumptions about what knowledge representation is; about the role played by the computational metaphor about the relationships among model, theory, and program; etc. In part II, in a more speculative vein, we set forth for consideration nine hypothesis about various open issues in representation research.MIT Artificial Intelligence Laboratory National Institutes of Healt