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Summary of Formalization Of Dialogue in the Decision Support System Of Dr. Watson Type, by Saveli Goldberg (1) et al.


Formalization of Dialogue in the Decision Support System of Dr. Watson Type

by Saveli Goldberg, Vladimir Sluchak

First submitted to arxiv on: 27 Jul 2024

Categories

  • Main: Artificial Intelligence (cs.AI)
  • Secondary: None

     Abstract of paper      PDF of paper


GrooveSquid.com Paper Summaries

GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!

Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
This paper develops a theory for an AI System like Dr. Watson, aiming to guide users towards solutions through friendly dialogue. The approach involves analyzing user input and collecting data to generate questions that facilitate problem-solving. Building upon previous work, this study formalizes the concept of friendly dialogue in AI systems.
Low GrooveSquid.com (original content) Low Difficulty Summary
Imagine an AI chatbot that helps you solve a puzzle or find information. This paper is about creating a framework for such a system to have a conversation with you in a helpful and polite way. The idea is to ask questions based on what you’ve told the AI and what it’s learned from your interactions.

Keywords

» Artificial intelligence