AI Dialog Software Application

The theory behind the AI Dialog Software Application is described in the associated paper An Analysis of English Semantics based solely on Is-Has Relations; the Is-Has Mental Model; the AI Dialog software application. Briefly, AI Dialog is able to build a Mental Model from English Language input. Subsequently, comprehension may be tested using an English Language dialogue. AI Dialog is used to test the validity of the above theory and to assess its utility as a path to AI.

This is a download for the executable of the AI Dialog Software Version 3.1 Alpha Release.

The AI Dialog Software is protected by international copyright, but is made available to use for non-commercial personal study purposes.

The software will run on Windows 10 systems and requires about 1 M byte.

The download file is zipped and needs to be unzipped. After this, the content of the folder AI Dialog 3.1 Alpha Release is:

• Application Files (Folder) • Documentation (Folder) • NLP2016Autumn (Manifest) • Setup (Application)

In the Documentation folder are two PDF files:

• Specification (PDF) • Copy of Tuition Lessons (PDF)

The first is a specification of a subset of English for use with the AI Dialog system. The second is a hard copy of the tuition lessons. However, there is no need to consult either of these initially, as AI Dialog incorporates a quick start tuition module.

To install AI Dialog, double click the Setup file. This starts AI Dialog immediately after installation but places an application icon on the Start list for restarting later. After AI Dialog starts, just follow the pop-up message instructions.

Identifier
DOI https://doi.org/10.17632/zhv2wfnprv.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-i4-1ku4
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:185287
Provenance
Creator Belch, F
Publisher Data Archiving and Networked Services (DANS)
Contributor Francis R Belch
Publication Year 2020
Rights info:eu-repo/semantics/openAccess; License: https://creativecommons.org/licenses/by-nc/3.0; https://creativecommons.org/licenses/by-nc/3.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other