Connectionist-based information systems: a proposed research theme

2002

Proceedings of the 33rd Annual Hawaii International Conference on System Sciences

is one of six departments that make up the Division of Commerce at the University of Otago. The department offers courses of study leading to a major in Information Science within the BCom, BA and BSc degrees. In addition to undergraduate teaching, the department is also strongly involved in postgraduate research programmes leading to MCom, MA, MSc and PhD degrees. Research projects in spatial information processing, connectionist-based information systems, software engineering and software development, information engineering and database, software metrics, distributed information systems, multimedia information systems and information systems security are particularly well supported.

The Department of Information Science is one of six departments that make up the School of Business at the University of Otago. The department offers courses of study leading to a major in Information Science within the BCom, BA and BSc degrees. In addition to undergraduate teaching, the department is also strongly involved in postgraduate research programmes leading to MCom, MA, MSc and PhD degrees. Research projects in spatial information processing, connectionist-based information systems, software engineering and software development, information engineering and database, software metrics, distributed information systems, multimedia information systems and information systems security are particularly well supported.

Expert Systems, 1994

This paper presents the architecture of a neural network expert system shell. The system captures every rule as a rudimentary neural network, which is calleda network element (netel). The aim is topreserve the semantic struciure of the expert system rules, while incorporating the learning capability of neural networks into the inferencing mechanism. These netel rules are dynamically linked up to form the rule-tree during the inferencingprocess, just as a conventional expert system does. The system is also able to adjust its inference strategy according to diferent users and situations. A rule editor is provided to enable easy maintenance of the netel rules. These components are housed under a user-Fiendly interface. An application * This project is sponsored by the National Universily o/Singapore research grant RP900628. Please address aN correspondence to Tong-Seng Quah, quahtsaiss. nus.sg. expert system for USficture bonds trading is built upon this shell. The connectionist expert system has demonstrated its strength over the conventional rule-based system.

Computer, 2000

2004

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In this paper, a program for a research is outlined. Firstly, the concept of responsive information systems is defined and then the notion of the capacity planning and software performance engineering is clarified. Secondly, the purpose of the proposed methodology of capacity planning, the interface to information systems analysis and development methodologies (SSADM), the advantage of knowledge-based approach is discussed. In order to design a tool, which would support the system analysts and designers during their work in this area, a knowledge acquisition process is required. The KADS II methodology and its formal description language would be the suitable for modelling the required knowledge of software performance and capacity planning engineer; using this approach a research and knowledge acquisition process is outlined in order to create a model of generic tasks implicitly used during the performance planning exercise. Based on this model, the interfaces to CASE tools, more precisely to data dictionaries or repositories (IRDS) are examined in the context of a certain systems analysis and design methodology (e.g. SSADM), furthermore the techniques and procedures that can be applied in order to represent the acquired knowledge and to resolve the conflict or at least to support the problem solving procedures.

2018

Computers have been used in every sphere of life and their role is increasing day by day, as newer and newer technologies are being developed. Artificial intelligence is at the heart of many exciting innovations. Representation forms the vital part of any AI application. If the representation is correct the half of the work is done. The connectionist approach is one of the ways to represent and identify any object in AI field. This approach has been successfully used and implemented in many of the real-life areas. The connectionist approach is based on the linking and state of any object at any time. An object has to mean with respect to its state and its links at a particular instant. It has many advantages for representation in AI field. Keyword: Artificial Intelligent, connectionist approach, symbolic learning, neural network.

1997

The Department of Information Science is one of six departments that make up the Division of Commerce at the University of Otago. The department offers courses of study leading to a major in Information Science within the BCom, BA and BSc degrees. In addition to undergraduate teaching, the department is also strongly involved in postgraduate research programmes leading to MCom, MA, MSc and PhD degrees. Research projects in software engineering and software development, information engineering and database, software metrics, knowledge-based systems, natural language processing, spatial information systems, and information systems security are particularly well supported.

2016

Intelligent systems encompass a wide range of software technologies including heuristic and normative expert systems, case-based reasoning systems, and neural networks. This field has been augmented in recent years by Web-based applications, such as recommender systems and the semantic Web. The uses of explanation facilities have their roots in heuristic rule-based expert systems and have long been touted as an important adjunct in intelligent decision support systems. However, in recent years, their uses have been explored in many other intelligent system technologies- particularly those making an impact in e-commerce such as recommender systems. This paper shows how explanation facilities work with a range of symbolic intelligent techniques and, when carefully designed, provide a range of benefits. The paper also shows how, despite being more difficult to augment with non-symbolic technologies, hybrid methods predominantly using rule-extraction techniques have provided moderate su...