Tenth Anniversary of the Plastics Color Formulation Tool

AI Magazine

Since 1994, GE Plastics has employed a case-based reasoning (CBR) tool that determines color formulas that match requested colors. This tool, called FormTool, has saved GE millions of dollars in productivity and material (that is, colorant) costs. The technology developed in FormTool has been used to create an online color-selection tool for our customers called ColorXpress Select. A customer innovation center has been developed around the FormTool software.


Tenth Anniversary of the Plastics Color Formulation Tool

AAAI Conferences

Since 1994 GE Plastics has employed a case-based reasoning tool that determines color formulas which match requested colors. This tool, called FormTool, has saved GE millions of dollars in productivity and material (i.e.


Tenth Anniversary of the Plastics Color Formulation Tool

AITopics Original Links

Since 1994 GE Plastics has employed a case-based reasoning tool that determines color formulas which match requested colors. This tool, called FormTool, has saved GE millions of dollars in productivity and material (i.e. The technology developed in FormTool has been used to create an on-line color selection tool for our customers called ColorXpress Select. A customer innovation center has been developed around the FormTool software. This page is copyrighted by AAAI.


Tenth Anniversary of the Plastics Color Formulation Tool

AI Magazine

Since 1994, GE Plastics has employed a case-based reasoning (CBR) tool that determines color formulas that match requested colors. This tool, called FormTool, has saved GE millions of dollars in productivity and material (that is, colorant) costs. The technology developed in FormTool has been used to create an online color-selection tool for our customers called ColorXpress Select. A customer innovation center has been developed around the FormTool software.


Integrating Cases and Models Through Approximate-Model-Based 1 Adaptation L. Karl Branting

AAAI Conferences

This paper describes an approach to the integration of case and models called model-based adaptation (MBA). Under this approach, case-based reasoning is used to find an approximate solution, and model-based reasoning is then used to adapt this approximate solution into a more precise solution. This paper distinguishes two distinct forms of MBA--per]ect-model-based adaptation and approximate-model-based adaptation--sets forth the applicability conditions and potential benefits of each, and describes three systems that use approximate-model-based adaptation.