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JACIII Vol.9 No.4 pp. 415-422
doi: 10.20965/jaciii.2005.p0415
(2005)

Paper:

Human Intent Description in Environment Adaptive Product Model Objects

László Horváth, and Imre J. Rudas

John von Neumann Faculty of Informatics, Budapest Tech Polytechnical Institution, Népszínház u. 8, H-1081 Budapest, Hungary

Received:
November 4, 2004
Accepted:
January 20, 2005
Published:
July 20, 2005
Keywords:
product modeling, description of human intent, behavior based modeling, adaptive description of model objects, design intent based knowledge
Abstract

This paper discusses a method for intelligent computer modeling of engineering objects by extended application of advanced effective entities as features for intent of engineers, behavior of modeled objects, and adaptivities. These and other descriptions are organized in engineering process oriented environment adaptive model objects. Knowledge is defined for engineering activities by using intent of humans. Model objects apply embedded, integrated, and referred knowledge representations according to the source and nature of design intent. Behaviors of the modeled engineering objects are simulated for typical sets of circumstances called as situations. Results of a simulation are evaluated then applied at adaptive actions by the model objects. In this way, a solution has been stablished for human intent driven control of decision assistance. This paper starts with an introduction of a multilevel modeling in which knowledge represents human intent. Following this, process of modeling by human intent as well as essential approaches for creation and application of design intent description in decision making are outlined. Next, application of integrated and environment adaptive model object is proposed and a four leveled modeling by behavior and associativity features is explained. Finally, selected issues for implementation of the proposed modeling in CAD/CAM environments are concluded.

Cite this article as:
László Horváth and Imre J. Rudas, “Human Intent Description in Environment Adaptive Product Model Objects,” J. Adv. Comput. Intell. Intell. Inform., Vol.9, No.4, pp. 415-422, 2005.
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