A Bibliography Of The Field Of User Modeling In Artificial Intelligence Dialog Systems

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User Models in Dialog Systems

Author : Alfred Kobsa
Publisher : Springer Science & Business Media
ISBN 13 : 364283230X
Total Pages : 483 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis User Models in Dialog Systems by : Alfred Kobsa

Download or read book User Models in Dialog Systems written by Alfred Kobsa and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: User models have recently attracted much research interest in the field of artificial intelligence dialog systems. It has become evident that flexible user-oriented dialog behavior of such systems can be achieved only if the system has access to a model of the user containing assumptions about his/her background knowledge as well as his/her goals and plans in consulting the system. Research in the field of user models investigates how such assumptions can be automatically created, represented and exploited by the system in the course of an "on-line" interaction with the user. The communication medium in this interaction need not necessarily be a natural language, such as English or German. Formal interaction languages are also permit ted. The emphasis is placed on systems with natural language input and output, however. A dozen major and several more minor user modeling systems have been de signed and implemented in the last decade, mostly in the context of natural-language dialog systems. The goal of UM86, the first international workshop on user model ing, was to bring together the researchers working on these projects so that results could be discussed and analyzed, and hopefully general insights be found, that could prove useful for future research. The meeting took place in Maria Laach, a small village some 40 miles south of Bonn, West Germany. 25 prominent researchers were invited to participate.

Conversational AI

Author : Michael McTear
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636390323
Total Pages : 253 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Conversational AI by : Michael McTear

Download or read book Conversational AI written by Michael McTear and published by Morgan & Claypool Publishers. This book was released on 2020-10-30 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.

Automation and Systems Issues in Air Traffic Control

Author : John A. Wise
Publisher : Springer Science & Business Media
ISBN 13 : 3642765564
Total Pages : 571 pages
Book Rating : 4.6/5 (427 download)

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Book Synopsis Automation and Systems Issues in Air Traffic Control by : John A. Wise

Download or read book Automation and Systems Issues in Air Traffic Control written by John A. Wise and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, increases in the amount and changes in the distribution of air traffic have been very dramatic and are continuing. The need for changes in the current air traffic systems is equally clear. While automation is generally accepted as a method of improving system safety and performance, high levels of automation in complex human-machine systems can have a negative effect on total system performance and have been identified as contributing factors in many accidents and failures. Those responsible for designing the advanced air traffic control systems to be implemented throughout the alliance during the next decade need to be aware of recent progress concerning the most effective application of automation and artificial intelligence in human-computer systems. This volume gives the proceedings of the NATO Advanced Study Institute held in Maratea, Italy, June 18-29, 1990, at which these issues were discussed.

Artificial Intelligence and Operations Research in Business and Management

Author : Daniel Edmund O'Leary
Publisher :
ISBN 13 :
Total Pages : 246 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Artificial Intelligence and Operations Research in Business and Management by : Daniel Edmund O'Leary

Download or read book Artificial Intelligence and Operations Research in Business and Management written by Daniel Edmund O'Leary and published by . This book was released on 1996 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Progress in Artificial Intelligence

Author : Goreti Marreiros
Publisher : Springer Nature
ISBN 13 : 3030862305
Total Pages : 815 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Progress in Artificial Intelligence by : Goreti Marreiros

Download or read book Progress in Artificial Intelligence written by Goreti Marreiros and published by Springer Nature. This book was released on 2021-09-07 with total page 815 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th EPIA Conference on Artificial Intelligence, EPIA 2021, held virtually in September 2021. The 62 full papers and 6 short papers presented were carefully reviewed and selected from a total of 108 submissions. The papers are organized in the following topical sections: artificial intelligence and IoT in agriculture; artificial intelligence and law; artificial intelligence in medicine; artificial intelligence in power and energy systems; artificial intelligence in transportation systems; artificial life and evolutionary algorithms; ambient intelligence and affective environments; general AI; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; and text mining and applications.

Human-Computer Interaction: Design and Development Approaches

Author : Julie A. Jacko
Publisher : Springer
ISBN 13 : 3642216021
Total Pages : 736 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Human-Computer Interaction: Design and Development Approaches by : Julie A. Jacko

Download or read book Human-Computer Interaction: Design and Development Approaches written by Julie A. Jacko and published by Springer. This book was released on 2011-06-18 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume set LNCS 6761-6764 constitutes the refereed proceedings of the 14th International Conference on Human-Computer Interaction, HCII 2011, held in Orlando, FL, USA in July 2011, jointly with 8 other thematically similar conferences. The revised papers presented were carefully reviewed and selected from numerous submissions. The papers accepted for presentation thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The papers of this first volume are organized in topical sections on HCI design, model-based and patterns-based design and development, cognitive, psychological and behavioural issues in HCI, development methods, algorithms, tools and environments, and image processing and retrieval in HCI.

Adaptive Semantics Visualization

Author : Kawa Nazemi
Publisher : Springer
ISBN 13 : 3319308165
Total Pages : 433 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Adaptive Semantics Visualization by : Kawa Nazemi

Download or read book Adaptive Semantics Visualization written by Kawa Nazemi and published by Springer. This book was released on 2016-03-22 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a novel approach for intelligent visualizations that adapts the different visual variables and data processing to human’s behavior and given tasks. Thereby a number of new algorithms and methods are introduced to satisfy the human need of information and knowledge and enable a usable and attractive way of information acquisition. Each method and algorithm is illustrated in a replicable way to enable the reproduction of the entire “SemaVis” system or parts of it. The introduced evaluation is scientifically well-designed and performed with more than enough participants to validate the benefits of the methods. Beside the introduced new approaches and algorithms, readers may find a sophisticated literature review in Information Visualization and Visual Analytics, Semantics and information extraction, and intelligent and adaptive systems. This book is based on an awarded and distinguished doctoral thesis in computer science.

Spoken Natural Language Dialog Systems

Author : Ronnie W. Smith
Publisher : Oxford University Press
ISBN 13 : 0195357914
Total Pages : 314 pages
Book Rating : 4.1/5 (953 download)

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Book Synopsis Spoken Natural Language Dialog Systems by : Ronnie W. Smith

Download or read book Spoken Natural Language Dialog Systems written by Ronnie W. Smith and published by Oxford University Press. This book was released on 1995-02-02 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: As spoken natural language dialog systems technology continues to make great strides, numerous issues regarding dialog processing still need to be resolved. This book presents an exciting new dialog processing architecture that allows for a number of behaviors required for effective human-machine interactions, including: problem-solving to help the user carry out a task, coherent subdialog movement during the problem-solving process, user model usage, expectation usage for contextual interpretation and error correction, and variable initiative behavior for interacting with users of differing expertise. The book also details how different dialog problems in processing can be handled simultaneously, and provides instructions and in-depth result from pertinent experiments. Researchers and professionals in natural language systems will find this important new book an invaluable addition to their libraries.

Towards the Internet of Services: The THESEUS Research Program

Author : Wolfgang Wahlster
Publisher : Springer
ISBN 13 : 3319067559
Total Pages : 476 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Towards the Internet of Services: The THESEUS Research Program by : Wolfgang Wahlster

Download or read book Towards the Internet of Services: The THESEUS Research Program written by Wolfgang Wahlster and published by Springer. This book was released on 2014-09-01 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Services and the Internet of Things are major building blocks of the Future Internet. The digital enterprise of the future is based not only on mobile, social, and cloud technologies, but also on semantic technologies and the future Internet of Everything. Semantic technologies now enable mass customization for the delivery of goods and services that meet individual customer needs and tastes with near mass production efficiency and reliability. This is creating a competitive advantage in the industrial economy, the service economy, and the emerging data economy, leading to smart products, smart services, and smart data, all adaptable to specific tasks, locations, situations, and contexts of smart spaces. Such technologies allow us to describe, revise, and adapt the characteristics, functions, processes, and usage patterns of customization targets on the basis of machine-understandable content representation that enables automated processing and information sharing between human and software agents. This book explains the principal achievements of the Theseus research program, one of the central programs in the German government's Digital 2015 initiative and its High-Tech Strategy 2020. The methods, toolsets, and standards for semantic technologies developed during this program form a solid basis for the fourth industrial revolution (Industrie 4.0), the hybrid service economy, and the transformation of big data into useful smart data for the emerging data economy. The contributing authors are leading scientists and engineers, representing world-class academic and industrial research teams, and the ideas, technologies, and representative use cases they describe in the book derive from results in multidisciplinary fields, such as the Internet of Services; the Semantic Web, and semantic technologies, knowledge management, and search; user interfaces, multimodal interaction, and visualization; machine learning and data mining; and business process support, manufacturing, automation, medical systems, and integrated service engineering. The book will be of value to both researchers and practitioners in these domains.

Conversational AI

Author : Michael McTear
Publisher : Springer Nature
ISBN 13 : 3031021762
Total Pages : 234 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Conversational AI by : Michael McTear

Download or read book Conversational AI written by Michael McTear and published by Springer Nature. This book was released on 2022-05-31 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.

Research Handbook on Artificial Intelligence and Communication

Author : Seungahn Nah
Publisher : Edward Elgar Publishing
ISBN 13 : 1803920300
Total Pages : 453 pages
Book Rating : 4.8/5 (39 download)

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Book Synopsis Research Handbook on Artificial Intelligence and Communication by : Seungahn Nah

Download or read book Research Handbook on Artificial Intelligence and Communication written by Seungahn Nah and published by Edward Elgar Publishing. This book was released on 2023-11-03 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This forward-looking Research Handbook makes an insightful contribution to the emerging field of studies on communication of, by and with AI. Bringing together state-of-the-art research from over 50 leading international scholars across various fields, it provides a comprehensive overview of the complex intersections between AI and communication.

Plan Recognition in Natural Language Dialogue

Author : Sandra Carberry
Publisher : MIT Press
ISBN 13 : 9780262031677
Total Pages : 316 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Plan Recognition in Natural Language Dialogue by : Sandra Carberry

Download or read book Plan Recognition in Natural Language Dialogue written by Sandra Carberry and published by MIT Press. This book was released on 1990 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sandra Carberry addresses the problem of creating computational strategies that can improve user-computer communication by assimilating ongoing dialogue and reasoning on the acquired knowledge. In most current natural language systems each query is treated as an isolated request for information regardless of its context in dialogue. Sandra Carberry addresses the problem of creating computational strategies that can improve user-computer communication by assimilating ongoing dialogue and reasoning on the acquired knowledge. Plan Recognition in Natural Language Dialogue critically examines plan recognition - the inference of an agent's goals and how he or she intends to achieve them. It describes significant models of plan inference and presents in detail the author's own model, which infers new goals from user utterances and integrates them into the system's model of the user's plan, incrementally expanding and adding detail to its beliefs about what the information seeker wants to do. Carberry then outlines computational strategies for interpreting two kinds of problematic utterances: utterances that violate the pragmatic rules of the system's world model and intersentential elliptical fragments. She also suggests directions for future research. Plan Recognition in Natural Language Dialogue is included in the ACL-MIT Press Series in Natural Language Processing edited by Aravind Joshi.

User Modelling in Text Generation

Author : Cecile Paris
Publisher : Bloomsbury Publishing
ISBN 13 : 1474246516
Total Pages : 242 pages
Book Rating : 4.4/5 (742 download)

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Book Synopsis User Modelling in Text Generation by : Cecile Paris

Download or read book User Modelling in Text Generation written by Cecile Paris and published by Bloomsbury Publishing. This book was released on 2015-12-17 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the issue of how the user's level of domain knowledge affects interaction with a computer system. It demonstrates the feasibility of incorporating a model of user's domain knowledge into a natural language generation system.

Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

Author : Shilpa Mahajan
Publisher : John Wiley & Sons
ISBN 13 : 1394196466
Total Pages : 373 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection by : Shilpa Mahajan

Download or read book Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection written by Shilpa Mahajan and published by John Wiley & Sons. This book was released on 2024-03-22 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTION Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.

Explorations in Intelligent Tutoring and Help

Author : Radboud Winkels
Publisher : IOS Press
ISBN 13 : 9789051991123
Total Pages : 248 pages
Book Rating : 4.9/5 (911 download)

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Book Synopsis Explorations in Intelligent Tutoring and Help by : Radboud Winkels

Download or read book Explorations in Intelligent Tutoring and Help written by Radboud Winkels and published by IOS Press. This book was released on 1992 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Affective Feedback in Intelligent Tutoring Systems

Author : Samantha Jiménez
Publisher : Springer
ISBN 13 : 3319931970
Total Pages : 88 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Affective Feedback in Intelligent Tutoring Systems by : Samantha Jiménez

Download or read book Affective Feedback in Intelligent Tutoring Systems written by Samantha Jiménez and published by Springer. This book was released on 2018-07-09 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Affective components are as important as cognitive components in tutoring assisted learning process. Feedback from tutors is essential in keeping students motivated. Affectivity and motivation are also significant in computer-based tutoring systems. However, several educational frameworks do not include this kind of interaction between students and tutoring systems. In those cases, the students learning interest and motivation to learn could be negatively affected, and student profits from the system could be impoverished. This is why tutoring systems need to provide direct and affective interaction with students; it can encourage them and increase the motivation to learn. This book introduces a broad range of topics in affective learning in computer-based systems. The text offers a deep conceptual background, covering relevant concepts of affectivity, feedback and motivational components in learning environments. It describes the design of a proposed model for providing affective feedback, the mathematical validation of the conceptual model and its implementation. Moreover, it presents an analysis of the impact of the affective feedback on student motivation to learn. Finally, the book offers research perspectives of the impact and applicability of the affective feedback in computer-based tutoring environments. Affective Feedback in Intelligent Tutoring Systems can be used by human tutors who want to include motivational and affective elements in the learning process, researchers in Human-Computer Interaction and Education and by software developers who want to develop learning systems using these elements.

Recommender Systems Handbook

Author : Francesco Ricci
Publisher : Springer Nature
ISBN 13 : 1071621971
Total Pages : 1053 pages
Book Rating : 4.0/5 (716 download)

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Book Synopsis Recommender Systems Handbook by : Francesco Ricci

Download or read book Recommender Systems Handbook written by Francesco Ricci and published by Springer Nature. This book was released on 2022-04-21 with total page 1053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field. It consists of five parts: general recommendation techniques, special recommendation techniques, value and impact of recommender systems, human computer interaction, and applications. The first part presents the most popular and fundamental techniques currently used for building recommender systems, such as collaborative filtering, semantic-based methods, recommender systems based on implicit feedback, neural networks and context-aware methods. The second part of this handbook introduces more advanced recommendation techniques, such as session-based recommender systems, adversarial machine learning for recommender systems, group recommendation techniques, reciprocal recommenders systems, natural language techniques for recommender systems and cross-domain approaches to recommender systems. The third part covers a wide perspective to the evaluation of recommender systems with papers on methods for evaluating recommender systems, their value and impact, the multi-stakeholder perspective of recommender systems, the analysis of the fairness, novelty and diversity in recommender systems. The fourth part contains a few chapters on the human computer dimension of recommender systems, with research on the role of explanation, the user personality and how to effectively support individual and group decision with recommender systems. The last part focusses on application in several important areas, such as, food, music, fashion and multimedia recommendation. This informative third edition handbook provides a comprehensive, yet concise and convenient reference source to recommender systems for researchers and advanced-level students focused on computer science and data science. Professionals working in data analytics that are using recommendation and personalization techniques will also find this handbook a useful tool.