Artificial intelligence (AI) aims to build intelligent systems that can interact with and assist humans. During the interaction, a system learns the requirements from the human user and adapts to the needs to complete tasks. A popular type of interactive system is retrieval-based, where the system uses a retrieval function to retrieve relevant…

In this paper, the author reports the results of an empirical study on the relationship between a student's programming experience and their success in a traditional Systems Analysis and Design (SA&D) class where technical skills such as dataflow analysis and entity relationship data modeling are covered. While it is possible to teach these…

How do you dynamically customize the programming language available in a context within an existing system, without changing the underlying system? This dissertation introduces a language design approach that addresses this problem. The basic idea is to structure programs as systems of multiple interacting levels of abstraction, where all of the…

Provides a brief introduction to the basics of artificial intelligence and expert systems and explains terms in general use. (CLB)

Describes criteria for discriminating between appropriate and inappropriate problems for expert system solutions, and presents several examples of problem analysis. (CLB)

The constructive phases of system design are discussed with particular reference to information systems design. A preliminary attempt is made at definition of terms and an initial organization of research presented. A synopsis of work to date is presented within the framework of three thrust areas (1) creative and intuitive design methods, (2)…

Soar, an architecture for problem solving and learning based on heuristic search and chunking, has been applied to a variety of tasks during the development of the Soar project, the goal of which is to build a system capable of general intelligent behavior. The hypothesis being tested in this aspect of Soar research is that chunking, a simple…

Pepperdine University's decision support system provides: (1) user access to data through terminals; (2) the availability of retrieval modules and languages that allow the managers to structure ad hoc reports; (3) access to models through a national network; and (4) training, encouragement and consultation through coordinators. (Author/MLW)

The book of reading focuses on the state of job enrichment in the United States today, as well as some of its international implications. Featured in the book are 20 selected working papers analyzing the development and use of job enrichment in various types of organizations, union response to job enrichment, and its outlook for the future. The…

It is recognized that there is a major gap between the promises of large data bases and optimization and simulation models and their actual ability to solve real world problems. This document describes a Generalized Data Base Planning System (GPLAN), currently being developed at Purdue University, that is proposed as a system to bridge this gap. A…

This description of the development of expert systems designed to solve management problems focuses on the issue of corporate divestment as an example. Software needs are discussed, and an example of a management expert system for divestment analysis at James Madison University is briefly described. (Author/LRW)

Paper differentiates managerial performance from management capacity and management style. Methods of structured communication and problem-solving are proposed, in the context of an overall educational working structure, arising out of systematic principles, and oriented towards individualized, integrated and broadly based learning. (Author)

Describes a project aimed at developing a system to support managers of business software projects by incorporating knowledge acquisition and emphasizing the integration of the manager's tasks. The discussion covers the knowledge acquisition methodology, the architecture of an integrated system, and an overview of project management tasks. (15…

Increasingly, machine learning is entertained as a mechanism for improving the efficiency of planning systems. Research in this area has generated an impressive battery of techniques and a growing body of empirical successes. Unfortunately the formal properties of these systems are not well understood. This is highlighted by a growing corpus of…