NEWS: Chatbots.org survey on 3000 US and UK consumers shows it is time for chatbot integration in customer service!read more..
| by Nils J. Nilsson in Learning, Text recognition, Psychology (2005) |
I claim that achieving real human-level artificial intelligence would necessarily imply that most of the tasks that humans perform for pay could be automated. Rather than work toward this goal of automation by building special-purpose systems, I argue for the development of general-purpose, educable systems that can learn and be taught to perform any of the thousands of jobs that humans can perform. Joining others who have made similar proposals, I advocate beginning with a... Read more
| by Huma Shah and Odette Henry in Agent's perception of humans, Text recognition, Agent's Expression, Lexical formulation, Agent's Processing, Learning (2003) |
This paper presents a pilot study involving 99 participants analysing conversations between Judges 2, 4 and 7, hidden humans (Confederates), and Jabberwock, bronze prize winner for most human-like machine from Loebner’s 2003 Contest, instantiation of Turing’s Test for machine intelligence. The transcripts from these conversations were given to children (aged between 8 and 12), and adults (aged between 18-35). The machine was identified in its conversation with Judge 7, but the Confederate Effect featured in... Read more
| by Paolo Gaudiano and Klaus Kater in Human's perception of Agent, Text recognition, Lexical formulation (2000) |
This article describes Artificial Life, Inc.’s WebGuide, an intelligent software bot that helps users navigate a Web site using natural language. The article describes the technology behind ALife-WebGuide, discusses some of the issues involved in commercialization of this type of user interface, and summarizes possible enhancements for future versions of this product. Read more
| by Joseph Weizenbaum in Agent's perception of humans, Text recognition, Identification of humans, Speaker recognition, Agent's Expression, Lexical formulation, Applications (1966) |
ELIZA is a program operating within the MAC time-sharing system at MIT which makes certain kinds of natural language conversation between man and computer possible. Input sentences are analyzed on the basis of decomposition rules which are triggered by key words appearing in the input text. Responses are generated by reassembly rules associated with selected decomposition rules. The fundamental technical problems with which ELIZA is concerned are: (1) the identification of key words, (2) the... Read more
| by Daniel G. Bobrow in Text recognition (1964) |
The aim of the research reported here was to discover methods for building computer programs which can understand and communicate with people in a non-trivial subset of English. A computer program understands a subset of English if it accepts input sentences which are members of this subset, and answers questions based on information contained in the input. We describe in this paper a semantic theory of discourse, and utilize a first approximation to the analytical... Read more
