Older blog entries for AI4U (starting at number 11)

Comparison of NL Comprehension Systems

MindForth as a natural-language (NL) comprehension system

In the MindForth artificial general intelligence (AGI) system, natural- language (NL) generation and comprehension are a two-way street. Just as MindForth generates a thought in English by letting sp reading activation link concept to concept to concept in a linguistic superstructure sprawling over the conceptual mindgrid, likewise NL comprehension in MindForth consists in laying down linkages from concept to concept to concept, so that the idea being comprehended is recoverable or regenerable at some future time when spreading activation follows a meandering chain of thought to the comprehended idea, or proposition, or assertion. Being still a primitive AGI, MindForth can comprehend only primitive natural language. In comparison with other NL comprehension systems, MindForth most likely stands out as being based on its own project-specific theory of mind which relies not on any ontological knowledge- base (KB) but rather on a conceptual knowledge-base as the substrate for both generation and comprehension. Other systems may generate responses to KB queries without actually generating a conceptual thought, and may therefore be incapable of comprehension for lack of conceptual underpinnings. To assess the capability of an AGI system in NL comprehension, one should look for the change in state that occurs before and after the input of the NL input to be comprehended. In MindForth, the input is integrated not only with the knowledge-base as a raw assertion, but may also be integrated in a broader sense as MindForth expands its ability to think recursively and inferentially about the raw assertions which it incorporates into its knowledge base.

A.T. Murray
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http://opencog.org/wiki/Comparison_of_NL_Compreh ension_Systems

AI Mind update

The AI4U Mind for MSIE has been updated with improvements to the ability of the robot AI Mind to carry on a conversation. The AI is free to be installed on any Web site just by copying the HTML file. Hopefully, it is part of an AI Landrush commencing now in 2009. For installation in a robot, you would probably need to port the free AI source code into your robot's programming language and you would need to flesh out the SensoryInput, EmotiOn and MotorOutput modules.

28 Jul 2005 (updated 31 Jul 2005 at 05:54 UTC) »
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10 Apr 2004 (updated 31 Jul 2005 at 05:47 UTC) »

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