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John C. Kunz

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

3 papers
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3

EAAI Journal 1996 Journal Article

Rapid conceptual design evaluation using a virtual product model

  • Mark J. Clayton
  • John C. Kunz
  • Martin A. Fischer

This paper presents an architecture and test results for a computer-based system for assisting the conceptual phase of building design. The system uses 3D CAD to represent a graphic model of the design, and it uses AI symbolic models of the geometric forms, intended functions and computed and assigned behaviors of the design. The system uses A1 symbolic reasoning methods to analyze design behavior and compare predicted behavior with intended function. The Semantic Modeling Extension (SME) system incorporates a virtual product model: a small but extendible set of classes that define generic forms, functions and behaviors of facilities. After drawing a design using 3D CAD, a designer interactively creates interpretation objects as instances of the virtual product model. The interpretation objects express the meaning of the graphic representation with respect to a particular engineering issue, such as energy use or cost. The interpretation represents geometric and topological attributes of the features for use by automated design analysis tools. Interpretation objects unite support for graphically-oriented design thinking with support for automated symbolic reasoning. The paper includes an example building design scenario using the software prototype, illustrating how interpretation of the geometric model produces a symbolic model and supports multiple and changing analyses and evaluations during design. Students and practising engineers have tested the system in classes and workshops.

ICRA Conference 1991 Conference Paper

Validating knowledge systems: a scheduling example

  • John C. Kunz
  • Nizwer Husain

The models discussed are symbolic, explicitly describing concepts, parameters, and relations among concepts and parameters. They are formal in that they represent the design of the business and its processes as described by professional decision-makers. A methodology is presented for building such model-based systems, and some of the practical issues of building and validating models are discussed. >

AAAI Conference 1983 Conference Paper

Analysis of Physiological Behavior Using a Causal Model Based on First Principles

  • John C. Kunz

The objective of this research is to demonstrate a methodology for the design and use of a physiological model in a computer program that suggests medical decisions. The physiological model is based on first principles and facts of physiology and anatomy, and it includes inference rules for analysis of casual relations between physiological events. The model is used to analyze physiological behavior, identify the effects of abnormalities, suggest appropriate therapies, and predict the results of therapy. This methodology integrates heuristic knowledge traditionally used in artificial intelligence programs with mathematical knowledge traditionally used in mathematical modeling programs. In recognition of its origins in artificial intelligence and mathematical modeling, the system is named AI/MM. This paper briefly introduces the knowledge representation and examples of the system analysis of behavior in the domain of renal physiology.

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