Testing And Validation In Artificial Intelligence Programming

J. Sztipanovits; S. Padalkar; C. Krishnamurthy; R. B. Purves

doi:10.1117/12.942907

31 October 1987 Testing And Validation In Artificial Intelligence Programming

J. Sztipanovits, S. Padalkar, C. Krishnamurthy, R. B. Purves

Proceedings Volume 0851, Space Station Automation III; (1987) https://doi.org/10.1117/12.942907
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

Abstract

The paper describes a test and validation toolset developed for artificial intelligence programs. The basic premises of this method are: (1) knowledge bases have a strongly declarative character and represent mostly structural information about different domains, (2) the conditions for integrity, consistency and correctness can be transformed to structural properties of knowledge bases and (3) structural information and structural properties can be uniformly represented by graphs and checked by graph algorithms. The interactive test and validation environment have been implemented on a SUN workstation.

Citation Download Citation

J. Sztipanovits, S. Padalkar, C. Krishnamurthy, and R. B. Purves "Testing And Validation In Artificial Intelligence Programming", Proc. SPIE 0851, Space Station Automation III, (31 October 1987); https://doi.org/10.1117/12.942907

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