Programming languages for knowledge-based systems

Knowledge-based systems, Lisp, and very high level implementation languages

The Knowledge Engineering Review ◽

10.1017/s0269888900006263 ◽

1992 ◽

Vol 7 (2) ◽

pp. 147-155

Author(s):

Eric Sandewall

Keyword(s):

Operating System ◽

Programming Languages ◽

Knowledge Based Systems ◽

Machine Code ◽

Low Level ◽

Knowledge Based ◽

High Level ◽

Very High

AbstractIt is usually agreed that programming languages for implementing (other) programming languages, or ‘implementation languages’, should be simple low-level languages which are close to the machine code and to the operating system. In this paper it is argued that a very high level implementation language is a good idea, of particular importance for knowledge-based systems, and that Lisp (as a language and as a system) is very well suited to be a very high level implementation language. The significance of special-purpose programming languages is also discussed, and the requirements that they have for a very high level implementation language are considered.

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Book review: Introduction to Knowledge Based Systems

IEE Review ◽

10.1049/ir:19880012 ◽

1988 ◽

Vol 34 (1) ◽

pp. 36

Author(s):

S.H. Lavington

Keyword(s):

Knowledge Based Systems ◽

Knowledge Based

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Knowledge based systems for property valuation

10.15396/eres1997_184 ◽

1997 ◽

Keyword(s):

Knowledge Based Systems ◽

Property Valuation ◽

Knowledge Based

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Near-term applications of knowledge based systems to combat helicopters

10.2514/6.1990-3301 ◽

1990 ◽

Author(s):

FREDERICK HUBER ◽

FRANK KILMER

Keyword(s):

Knowledge Based Systems ◽

Knowledge Based ◽

Near Term

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Knowledge-Based Systems in Design of Mechatronic Products

10.26678/abcm.cobem2017.cob17-0521 ◽

2017 ◽

Author(s):

Paulo Rangel ◽

Jonny Silva

Keyword(s):

Knowledge Based Systems ◽

Knowledge Based

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Survey of the State-of-the-Art Expert/Knowledge Based Systems in Civil Engineering.

10.21236/ada175257 ◽

1986 ◽

Cited By ~ 10

Author(s):

Simon S. Kim ◽

Mary Lou Maher ◽

Raymond E. Levitt ◽

Martin F. Rooney ◽

Thomas J. Siller

Keyword(s):

Civil Engineering ◽

Expert Knowledge ◽

State Of The Art ◽

The State ◽

Knowledge Based Systems ◽

Knowledge Based

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Knowledge-Based Systems Research

10.21236/ada277505 ◽

1990 ◽

Author(s):

Edward A. Feigenbaum ◽

Robert S. Engelmore ◽

Paul C. Rosenbloom

Keyword(s):

Knowledge Based Systems ◽

Knowledge Based ◽

Systems Research

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Knowledge Acquisition for Knowledge-Based Systems

10.1007/3-540-57253-8 ◽

1993 ◽

Keyword(s):

Knowledge Acquisition ◽

Knowledge Based Systems ◽

Knowledge Based

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Investigation and Impact of Knowledge-Based Information on Programming Languages Based on Probabilistic Models

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.39.436 ◽

2010 ◽

Vol 39 ◽

pp. 436-440

Author(s):

Zhi Ming Qu

Keyword(s):

Expert Systems ◽

Programming Languages ◽

Probabilistic Models ◽

Role Playing ◽

Position Paper ◽

The Other ◽

Erasure Coding ◽

Role Playing Games ◽

Knowledge Based ◽

Other Hand

In recent years, much research has been devoted to the refinement of IPv6; on the other hand, few have investigated the confusing unification of interrupts and Internet QoS. In this position paper, it demonstrates the emulation of interrupts. In order to overcome this quagmire, a novel system is presented for the intuitive unification of expert systems and massive multiplayer online role-playing games. It is concluded that erasure coding can be verified to make heterogeneous, interposable, and event-driven, which is proved to be applicable.

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