Incorporating tutorial strategies into an intelligent assistant

2001 ◽  
Author(s):  
Jim R. Davies ◽  
Abigail S. Gertner ◽  
Neal Lesh ◽  
Charles Rich ◽  
Candace L. Sidner ◽  
...  
Keyword(s):  
Intelligent Assistant

A plan-based intelligent assistant that supports the software development

1989 ◽  
Vol 24 (2) ◽  
pp. 97-106 ◽  
Author(s):  
Karen E. Huff ◽  
Victor R. Lesser
Keyword(s):  
Software Development ◽  
Intelligent Assistant

scholarly journals Model for Profiler Agent during unexpected educational circumstances

2021 ◽  
Author(s):  
Georgi Cholakov ◽  
Asya Stoyanova-Doycheva
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Good Alternative ◽  
Traditional Education ◽  
Software Agent ◽  
Educational Materials ◽  
Knowledge Gaps ◽  
Specific Subject ◽  
Intelligent Assistant

Nowadays distance education helps when no other traditional possibility is allowed. But is it a good alternative to replace entirely the traditional education? Could it provide at least the same level of quality or it brings problems that we are not prepared for? The paper presents an observation of a problem with keeping students focused on their education – constant dropping of engagement and unintentional loss of attention during situation of distance learning. Appling measures to keep students’ attraction led to the need of some aspects’ automation – a model for a new intelligent assistant, software agent, was developed, along with the current ones in the existing system. This assistant will create profiles of students, helping with personalized tracking of each student’s progress in specific subject, recommending topics to improve knowledge and fill knowledge gaps. It will “live” in the extension of an existing system and cooperate with other agents to accomplish its goals, proactively assisting in students’ learning aspects, as well as teachers’ efforts to prepare better and more suitable educational materials.

An intelligent assistant for building inspection

1998 ◽  
Vol 22 (3) ◽  
pp. 257-275 ◽  
Author(s):  
Angela Barbanente ◽  
Nicola Maiellaro
Keyword(s):  
Intelligent Assistant

The Intelligent Assistant: An Overview

2000 ◽  
pp. 215-238 ◽  
Author(s):  
Behnam Azvine ◽  
David Djian ◽  
Kwok Ching Tsui ◽  
Wayne Wobcke
Keyword(s):  
Intelligent Assistant

Sentiment Analysis Technologies in AliMe — An Intelligent Assistant for E-commerce

2021 ◽  
pp. 2050016
Author(s):  
Shuangyong Song ◽  
Chao Wang ◽  
Siyang Liu ◽  
Haiqing Chen ◽  
Huan Chen ◽  
...  
Keyword(s):  
Sentiment Analysis ◽  
Customer Service ◽  
User Satisfaction ◽  
Business Value ◽  
Analysis Framework ◽  
Artificial Intelligent ◽  
Single Task ◽  
Sentiment Detection ◽  
Intelligent Assistant ◽  
Key Techniques

In this paper, we introduce a sentiment analysis framework and its corresponding key techniques used in AliMe, an artificial intelligent (AI) assistant for e-commerce customer service, whose fundamental ability of sentiment analysis provides support for five upper-layer application modules: user sentiment detection, user sentiment comfort, sentimental generative chatting, user service quality control and user satisfaction prediction. Detailed implementation of each module is demonstrated and experiments show our framework not only performs well on each single task but also manifests its competitive business value as a whole.

Building the Star Trek Computer

2017 ◽  
Author(s):  
Ed Finn
Keyword(s):  
Public Sphere ◽  
Star Trek ◽  
Cultural Algorithms ◽  
Human Identity ◽  
Interior Space ◽  
The Public ◽  
Self Knowledge ◽  
The Public Sphere ◽  
Intelligent Assistant ◽  
Epistemological Framework

This chapter explores the ways in which Google, Apple, and other corporations have turned the development of cultural algorithms into epistemological quests for both self-knowledge and universal knowledge. This effort to construct a new framework for reality has its roots in Diderot and d’Alembert’s Encyclopédie, a keystone of the European Enlightenment. Apple’s intelligent assistant Siri, Spike Jonze’s film Her, and Google’s ambition to realize the Star Trek computer serve as exemplars for the algorithmic pursuit of knowledge. These quests are both romantic and rational, seeking a transcendent state of knowing, a state that can be reached only with mechanisms that ultimately eclipse the human. Through their ambitions to develop algorithms that can “answer, converse, and anticipate” with ever-greater intimacy, the technology titans shaping our algorithmic future are constructing a new epistemological framework of what is knowable and desirable: an intellectual hierarchy of needs that will ultimately map out not only the public sphere of information but the interior space of human identity.

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