Proposals for R&D in Intelligent Knowledge Based Systems (IKBS)

Proposals for long-term research and development in intelli gent knowledge based systems (IKBS) were first made by the U.K. Science and Engineering Research Council Computer and Communications Subcommittee in May 1982 [1], and similar proposals for IKBS R&D, but on a larger scale and in the context of an overall programme in advanced information technology, were put forward by the Alvey Committee in September 1982 [2,3]. The Alvey programme has now been endorsed by the Government, and the object of this paper is to present the IKBS proposals, and specifically the IKBS pro gramme proposed by the Alvey Committee, for industrial and business consumption.

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Nonlinear Model Predictive Controller for Kick Attenuation in Managed Pressure Drilling**This work was supported by Natural Science and Engineering Research Council of Canada (NSERC) and Research and Development Corporation of Newfoundland and Labrador (RDC).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2016.07.268 ◽

2016 ◽

Vol 49 (7) ◽

pp. 248-253 ◽

Cited By ~ 3

Author(s):

Anirudh Nandan ◽

Syed Imtiaz

Keyword(s):

Research And Development ◽

Nonlinear Model ◽

Newfoundland And Labrador ◽

Research Council ◽

Science And Engineering ◽

Model Predictive Controller ◽

Engineering Research ◽

Managed Pressure Drilling ◽

Development Corporation ◽

Predictive Controller

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Task Ontology-Based Human-Computer Interaction

Human Computer Interaction ◽

10.4018/978-1-87828-991-9.ch058 ◽

2009 ◽

pp. 950-960

Author(s):

Kazuhisa Seta

Keyword(s):

Problem Solving ◽

Real World ◽

Practical Knowledge ◽

Building Blocks ◽

Research Field ◽

Knowledge Based Systems ◽

Engineering Research ◽

Knowledge Based ◽

Task Ontology ◽

Problem Solving Task

In ontological engineering research field, the concept of “task ontology” is well-known as a useful technology to systemize and accumulate the knowledge to perform problem-solving tasks (e.g., diagnosis, design, scheduling, and so on). A task ontology refers to a system of a vocabulary/ concepts used as building blocks to perform a problem-solving task in a machine readable manner, so that the system and humans can collaboratively solve a problem based on it. The concept of task ontology was proposed by Mizoguchi (Mizoguchi, Tijerino, & Ikeda, 1992, 1995) and its validity is substantiated by development of many practical knowledge-based systems (Hori & Yoshida, 1998; Ikeda, Seta, & Mizoguchi, 1997; Izumi &Yamaguchi, 2002; Schreiber et al., 2000; Seta, Ikeda, Kakusho, & Mizoguchi, 1997). He stated: …task ontology characterizes the computational architecture of a knowledge-based system which performs a task. The idea of task ontology which serves as a system of the vocabulary/concepts used as building blocks for knowledge-based systems might provide an effective methodology and vocabulary for both analyzing and synthesizing knowledge-based systems. It is useful for describing inherent problem-solving structure of the existing tasks domain-independently. It is obtained by analyzing task structures of real world problem. ... The ultimate goal of task ontology research is to provide a theory of all the vocabulary/concepts necessary for building a model of human problem solving processes. (Mizoguchi, 2003) We can also recognize task ontology as a static user model (Seta et al., 1997), which captures the meaning of problem-solving processes, that is, the input/output relation of each activity in a problem-solving task and its effects on the real world as well as on the humans’ mind.

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Locations and Contents11Preparation of this chapter was aided by Grant A7655 from National Science and Engineering Research Council Canada.

Eye Movements in Reading ◽

10.1016/b978-0-12-583680-7.50009-6 ◽

1983 ◽

pp. 53-61 ◽

Cited By ~ 1

Author(s):

Paul A. Kolers

Keyword(s):

Research Council ◽

Science And Engineering ◽

Engineering Research ◽

National Science

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Task Ontology-Based Human-Computer Interaction

Encyclopedia of Human Computer Interaction ◽

10.4018/978-1-59140-562-7.ch087 ◽

2006 ◽

pp. 588-596

Author(s):

Kazuhisa Seta

Keyword(s):

Problem Solving ◽

Real World ◽

Practical Knowledge ◽

Building Blocks ◽

Research Field ◽

Knowledge Based Systems ◽

Engineering Research ◽

Knowledge Based ◽

Task Ontology ◽

Problem Solving Task

In ontological engineering research field, the concept of “task ontology” is well-known as a useful technology to systemize and accumulate the knowledge to perform problem-solving tasks (e.g., diagnosis, design, scheduling, and so on). A task ontology refers to a system of a vocabulary/concepts used as building blocks to perform a problem-solving task in a machine readable manner, so that the system and humans can collaboratively solve a problem based on it. The concept of task ontology was proposed by Mizoguchi (Mizoguchi, Tijerino, & Ikeda, 1992, 1995) and its validity is substantiated by development of many practical knowledge-based systems (Hori & Yoshida, 1998; Ikeda, Seta, & Mizoguchi, 1997; Izumi &Yamaguchi, 2002; Schreiber et al., 2000; Seta, Ikeda, Kakusho, & Mizoguchi, 1997). He stated: …task ontology characterizes the computational architecture of a knowledge-based system which performs a task. The idea of task ontology which serves as a system of the vocabulary/concepts used as building blocks for knowledge-based systems might provide an effective methodology and vocabulary for both analyzing and synthesizing knowledge-based systems. It is useful for describing inherent problem-solving structure of the existing tasks domain-independently. It is obtained by analyzing task structures of real world problem. ... The ultimate goal of task ontology research is to provide a theory of all the vocabulary/concepts necessary for building a model of human problem solving processes. (Mizoguchi, 2003) We can also recognize task ontology as a static user model (Seta et al., 1997), which captures the meaning of problem-solving processes, that is, the input/output relation of each activity in a problem-solving task and its effects on the real world as well as on the humans’ mind.

Download Full-text