Chatbot

About: Chatbot is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 24372 citations. The topic is also known as: IM bot & AI chatbot.

A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language

Abstract: This article describes a model of other-initiated self-repair for a chatbot that helps to practice conversation in a foreign language. The model was developed using a corpus of instant messaging conversations between German native and non-native speakers. Conversation Analysis helped to create computational models from a small number of examples. The model has been validated in an AIML-based chatbot. Unlike typical retrieval-based dialogue systems, the explanations are generated at run-time from a linguistic database.

Chatbots as Interface to Ontologies

Abstract: Chatbots are simple conversational agents using “pattern matching rules” to carry out the dialogue with the user and various expedients to improve their credibility. However, the rules on which they are based on are too restrictive and their language understanding capability is very limited. Nevertheless chatbots are widespread in several applications, especially to provide information to users in a new and enjoyable way. In this chapter we describe different chatbot architectures, exploiting the use of ontologies in order to create clever information suppliers overcoming the main limits of chatbots: the knowledge base building and the rigidness of the dialogue mechanism.

How My Program Passed the Turing Test

Abstract: In 1989, the author put an ELIZA-like chatbot on the Internet. The conversations this program had can be seen – depending on how one defines the rules (and how seriously one takes the idea of the test itself) – as a passing of the Turing Test. This is the first time this event has been properly written. This chatbot succeeded due to profanity, relentless aggression, prurient queries about the user, and implying that they were a liar when they responded. The element of surprise was also crucial. Most chatbots exist in an environment where people expectto find some bots among the humans. Not this one. What was also novel was the onlineelement. This was certainly one of the first AI programs online. It seems to have been the first (a) AI real-time chat program, which (b) had the element of surprise, and (c) was on the Internet. We conclude with some speculation that the future of all of AI is on the Internet, and a description of the “World- Wide-Mind” project that aims to bring this about.

Organizational Factors Affecting Successful Implementation of Chatbots for Customer Service

Abstract: While chatbots have become an important part of customer service operations, there is a knowledge gap concerning organizational aspects of chatbot implementation and management. In response to this...

Dial4JaCa - A Communication Interface Between Multi-agent Systems and Chatbots.

Abstract: Multi-agent techniques have become mature technologies with many tools, programming languages, and methodologies currently available. As a result, it is a practical approach for the development of complex AI systems. However, there are still challenges in developing an interface that enables a more natural communication interface between software agents and human agents, for example, using natural language. We believe chatbot technologies can provide the support needed to face this challenge. In this paper, we propose an approach to the integration of multi-agent systems and chatbot technologies named Dial4JaCa. The resulting integration makes it possible to apply both those technologies together to a variety of domains. In this particular work, we use JaCaMo as a multi-agent programming platform and Dialogflow as a chatbot platform. We evaluate the Dial4JaCa integration using two different multi-agent applications.