Search Results for "answer"

Since the method proposed in https://www.researchgate.net/publication/262599199_Unifying_Provenance_and_Debugging_for_Answer-Set_Programs?ev=prf_pub is based on meta-programming, it is possible to use existing state-of-the-art software systems that support well-founded and answer-set semantics, which allowed us to start developing this new tool by extending the one that exists related to a debugging approach: Spock, hence the name Cpt. Kirk. Furthermore and more importantly, one direction to explore is to use the technique of reification as described in "metaASP" to obtain the implicants via a saturation technique, and obtaining the prime implicants of provenance formulae by optimization and thus proper minimal justifications.

LSA-Bot is a new, powerful kind of Chat-bot incentred on Latent Semantic Analisys. Using LSA it's possible to make relationships among words and vectors, permitting to realize an intelligent chat-bot that can understand human language and answer as

...How many miles did they run altogether? 4) What is the sum of 7 and 2? 5) What is 8 divided by 2? 6) What is the 10 subtracted by 2? 7) What is 2 subtracted from 10? Also shows users how answer was achieved. Nominal user education level: 1st grade Educational software. Designed chiefly to aid elementary school students in the study of arithmetic word problems. This software utilizes parts-of-speech tagging software that was developed and published by the Natural Language Processing Group at Stanford University. Many thanks!!! ...

This article talks about how to create a chatterbot that can serve as an interactive help agent. The bot has been "taught" to answer FAQs about a system. It can help solve petty issues for users quickly or point them to a human agent.

JASPWrapper is a potential "universal" java wrapper for ASP (answer set programming) inferential engine. It invokes native compiled solver and grounder by Java Virtual Machine and computes answers set analyzing and reifying output stream.

...When vkas is run, it creates a population of chromosomes at random. This population is then genetically modified and next population is generated. Each population is subjected to fitness calculation and if a suitable answer chromosome is found then vkas stops and the answer is printed. If a suitable answer is not found then the program stops after specified max generations are over.