AI 2009 Advances in Artificial Intelligence

AI 2009  Advances in Artificial Intelligence
Author: Ann Nicholson,Xiaodong Li
Publsiher: Springer Science & Business Media
Total Pages: 688
Release: 2009-11-09
ISBN: 364210438X
Category: Computers
Language: EN, FR, DE, ES & NL

AI 2009 Advances in Artificial Intelligence Book Excerpt:

We are pleased to present this LNCS volume, the Proceedings of the 22nd A- tralasianJointConferenceonArti?cialIntelligence(AI2009),heldinMelbourne, Australia, December 1–4,2009.This long established annual regionalconference is a forum both for the presentation of researchadvances in arti?cial intelligence and for scienti?c interchange amongst researchers and practitioners in the ?eld of arti?cial intelligence. Conference attendees were also able to enjoy AI 2009 being co-located with the Australasian Data Mining Conference (AusDM 2009) and the 4th Australian Conference on Arti?cial Life (ACAL 2009). This year AI 2009 received 174 submissions, from authors of 30 di?erent countries. After an extensive peer review process where each submitted paper was rigorously reviewed by at least 2 (and in most cases 3) independent revi- ers, the best 68 papers were selected by the senior Program Committee for oral presentation at the conference and included in this volume, resulting in an - ceptance rate of 39%. The papers included in this volume cover a wide range of topics in arti?cial intelligence: from machine learning to natural language s- tems, from knowledge representation to soft computing, from theoretical issues to real-world applications. AI 2009 also included 11 tutorials, available through the First Australian Computational Intelligence Summer School (ACISS 2009). These tutorials – some introductory, some advanced – covered a wide range of research topics within arti?cial intelligence, including data mining, games, evolutionary c- putation, swarm optimization, intelligent agents, Bayesian and belief networks.

AI 2015 Advances in Artificial Intelligence

AI 2015  Advances in Artificial Intelligence
Author: Bernhard Pfahringer,Jochen Renz
Publsiher: Springer
Total Pages: 652
Release: 2015-11-21
ISBN: 3319263501
Category: Computers
Language: EN, FR, DE, ES & NL

AI 2015 Advances in Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 28th Australasian Joint Conference on Artificial Intelligence, AI 2015, held in Canberra, Australia, in November/December 2015. The 39 full papers and 18 short papers presented were carefully reviewed and selected from 102 submissions.

Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author: Cory Butz,Pawan Lingras
Publsiher: Springer Science & Business Media
Total Pages: 447
Release: 2011-05-09
ISBN: 3642210422
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 24th Conference on Artificial Intelligence, Canadian AI 2011, held in St. John’s, Canada, in May 2011. The 23 revised full papers presented together with 22 revised short papers and 5 papers from the graduate student symposium were carefully reviewed and selected from 81 submissions. The papers cover a broad range of topics presenting original work in all areas of artificial intelligence, either theoretical or applied.

KI 2009 Advances in Artificial Intelligence

KI 2009  Advances in Artificial Intelligence
Author: Marcus Hund
Publsiher: Springer Science & Business Media
Total Pages: 757
Release: 2009-09-18
ISBN: 3642046169
Category: Computers
Language: EN, FR, DE, ES & NL

KI 2009 Advances in Artificial Intelligence Book Excerpt:

This book constitutes the thoroughly refereed proceedings of the 32nd Annual German Conference on Artificial Intelligence, KI 2009, held in Paderborn, Germany, in September 2009. The 76 revised full papers presented together with 15 posters were carefully reviewed and selected from 126 submissions. The papers are divided in topical sections on planning and scheduling; vision and perception; machine learning and data mining; evolutionary computing; natural language processing; knowledge representation and reasoning; cognition; history and philosophical foundations; AI and engineering; automated reasoning; spatial and temporal reasoning; agents and intelligent virtual environments; experience adn knowledge management; and robotics.

Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author: Yong Gao
Publsiher: Springer Science & Business Media
Total Pages: 308
Release: 2009-05-07
ISBN: 3642018173
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 22nd Conference on Artificial Intelligence, Canadian AI 2009, held in Kelowna, Canada, in May 2009. The 15 revised full papers presented together with 19 revised short papers, 8 papers from the graduate student symposium and the abstracts of 3 keynote presentations were carefully reviewed and selected from 63 submissions. The papers present original high-quality research in all areas of Artificial Intelligence and apply historical AI techniques to modern problem domains as well as recent techniques to historical problem settings.

Artificial Intelligence and Games

Artificial Intelligence and Games
Author: Georgios N. Yannakakis,Julian Togelius
Publsiher: Springer
Total Pages: 337
Release: 2018-02-17
ISBN: 3319635190
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Games Book Excerpt:

This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.

Machine Learning Algorithms for Problem Solving in Computational Applications Intelligent Techniques

Machine Learning Algorithms for Problem Solving in Computational Applications  Intelligent Techniques
Author: Kulkarni, Siddhivinayak
Publsiher: IGI Global
Total Pages: 464
Release: 2012-06-30
ISBN: 1466618345
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning Algorithms for Problem Solving in Computational Applications Intelligent Techniques Book Excerpt:

Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

AI 2009

AI 2009
Author: Anonim
Publsiher: Unknown
Total Pages: 688
Release: 2009
ISBN: 1928374650XXX
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

AI 2009 Book Excerpt:

Annotation This book constitutes the refereed proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence, AI 2009, held in Melbourne, Australia, in December 2009. The 68 revised full papers presented were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on agents; AI applications; computer vision and image processing; data mining and statistical learning; evolutionary computing; game playing; knowledge representation and reasoning; natural language and speech processing; soft computing; and user modelling.

Machine Learning for Evolution Strategies

Machine Learning for Evolution Strategies
Author: Oliver Kramer
Publsiher: Springer
Total Pages: 124
Release: 2016-05-25
ISBN: 3319333836
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Machine Learning for Evolution Strategies Book Excerpt:

This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After giving an introduction to evolution strategies and machine learning, the book builds the bridge between both worlds with an algorithmic and experimental perspective. Experiments mostly employ a (1+1)-ES and are implemented in Python using the machine learning library scikit-learn. The examples are conducted on typical benchmark problems illustrating algorithmic concepts and their experimental behavior. The book closes with a discussion of related lines of research.

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Author: Kyandoghere Kyamakya,Fadi Al-Machot,Ahmad Haj Mosa,Hamid Bouchachia,Jean Chamberlain Chedjou,Antoine Bagula
Publsiher: MDPI
Total Pages: 550
Release: 2021-09-01
ISBN: 3036511385
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies Book Excerpt:

This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective. This book, emerging from the Special Issue of the Sensors journal on “Emotion and Stress Recognition Related Sensors and Machine Learning Technologies” emerges as a result of the crucial need for massive deployment of intelligent sociotechnical systems. Such technologies are being applied in assistive systems in different domains and parts of the world to address challenges that could not be addressed without the advances made in these technologies.

Ripple Down Rules

Ripple Down Rules
Author: Paul Compton,Byeong Ho Kang
Publsiher: CRC Press
Total Pages: 196
Release: 2021-05-30
ISBN: 1000363589
Category: Computers
Language: EN, FR, DE, ES & NL

Ripple Down Rules Book Excerpt:

Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), an alternative manual technique for rapidly building AI systems. With a human in the loop, RDR is much better able to deal with the limitations of data. Ripple-Down Rules: The Alternative to Machine Learning starts by reviewing the problems with data quality and the problems with conventional approaches to incorporating expert human knowledge into AI systems. It suggests that problems with knowledge acquisition arise because of mistaken philosophical assumptions about knowledge. It argues people never really explain how they reach a conclusion, rather they justify their conclusion by differentiating between cases in a context. RDR is based on this more situated understanding of knowledge. The central features of a RDR approach are explained, and detailed worked examples are presented for different types of RDR, based on freely available software developed for this book. The examples ensure developers have a clear idea of the simple yet counter-intuitive RDR algorithms to easily build their own RDR systems. It has been proven in industrial applications that it takes only a minute or two per rule to build RDR systems with perhaps thousands of rules. The industrial uses of RDR have ranged from medical diagnosis through data cleansing to chatbots in cars. RDR can be used on its own or to improve the performance of machine learning or other methods.

Proceedings of the Second Annual GIFT Users Symposium

Proceedings of the Second Annual GIFT Users Symposium
Author: Dr. Robert Sottilare
Publsiher: US Army Research Laboratory
Total Pages: 207
Release: 2015-02-05
ISBN: 0989392341
Category: Education
Language: EN, FR, DE, ES & NL

Proceedings of the Second Annual GIFT Users Symposium Book Excerpt:

This book contains the proceedings of the second annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium conducted in June 2014 at Carnegie Mellon University in Pittburgh, Pennsylvania, USA. GIFT, the Generalized Intelligent Framework for Tutoring, is a modular, service-oriented architecture developed to lower the skills and time needed to author effective adaptive training. Design goals for GIFT also include capturing best instructional practices, promoting standardization and reuse for adaptive instructional content and methods and evaluation of the effectiveness of tutoring technologies. Truly adaptive systems make intelligent (optimal) decisions about tailoring instruction in real-time and make these decisions based on information about the learner and the instructional context (training environment. The papers presented by experts in the field include authoring, ITS interoperability, user perspectives of GIFT, non-cognitive factors in intelligent tutoring, teachable agents, dialogue-based tutoring methods, and intelligent tutoring for teams.

Emotion in Games

Emotion in Games
Author: Kostas Karpouzis,Georgios N. Yannakakis
Publsiher: Springer
Total Pages: 338
Release: 2016-11-02
ISBN: 3319413163
Category: Medical
Language: EN, FR, DE, ES & NL

Emotion in Games Book Excerpt:

The core message of this book is: computer games best realise affective interaction. This book brings together contributions from specialists in affective computing, game studies, game artificial intelligence, user experience research, sensor technology, multi-modal interfaces and psychology that will advance the state-of-the-art in player experience research; affect modelling, induction, and sensing; affect-driven game adaptation and game-based learning and assessment. In 3 parts the books covers Theory, Emotion Modelling and Affect-Driven Adaptation, and Applications. This book will be of interest to researchers and scholars in the fields of game research, affective computing, human computer interaction, and artificial intelligence.

Internet Scale Pattern Recognition

Internet Scale Pattern Recognition
Author: Anang Hudaya Muhamad Amin,Asad I. Khan,Benny B. Nasution
Publsiher: CRC Press
Total Pages: 197
Release: 2012-11-20
ISBN: 1466510978
Category: Computers
Language: EN, FR, DE, ES & NL

Internet Scale Pattern Recognition Book Excerpt:

For machine intelligence applications to work successfully, machines must perform reliably under variations of data and must be able to keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational models that address performance and scalability to achieve higher levels of reliability. It explores different ways of implementing pattern recognition using machine intelligence. Based on the authors’ research from the past 10 years, the text draws on concepts from pattern recognition, parallel processing, distributed systems, and data networks. It describes fundamental research on the scalability and performance of pattern recognition, addressing issues with existing pattern recognition schemes for Internet-scale data deployment. The authors review numerous approaches and introduce possible solutions to the scalability problem. By presenting the concise body of knowledge required for reliable and scalable pattern recognition, this book shortens the learning curve and gives you valuable insight to make further innovations. It offers an extendable template for Internet-scale pattern recognition applications as well as guidance on the programming of large networks of devices.

The Geometry of Uncertainty

The Geometry of Uncertainty
Author: Fabio Cuzzolin
Publsiher: Springer Nature
Total Pages: 850
Release: 2020-12-17
ISBN: 3030631532
Category: Computers
Language: EN, FR, DE, ES & NL

The Geometry of Uncertainty Book Excerpt:

The principal aim of this book is to introduce to the widest possible audience an original view of belief calculus and uncertainty theory. In this geometric approach to uncertainty, uncertainty measures can be seen as points of a suitably complex geometric space, and manipulated in that space, for example, combined or conditioned. In the chapters in Part I, Theories of Uncertainty, the author offers an extensive recapitulation of the state of the art in the mathematics of uncertainty. This part of the book contains the most comprehensive summary to date of the whole of belief theory, with Chap. 4 outlining for the first time, and in a logical order, all the steps of the reasoning chain associated with modelling uncertainty using belief functions, in an attempt to provide a self-contained manual for the working scientist. In addition, the book proposes in Chap. 5 what is possibly the most detailed compendium available of all theories of uncertainty. Part II, The Geometry of Uncertainty, is the core of this book, as it introduces the author’s own geometric approach to uncertainty theory, starting with the geometry of belief functions: Chap. 7 studies the geometry of the space of belief functions, or belief space, both in terms of a simplex and in terms of its recursive bundle structure; Chap. 8 extends the analysis to Dempster’s rule of combination, introducing the notion of a conditional subspace and outlining a simple geometric construction for Dempster’s sum; Chap. 9 delves into the combinatorial properties of plausibility and commonality functions, as equivalent representations of the evidence carried by a belief function; then Chap. 10 starts extending the applicability of the geometric approach to other uncertainty measures, focusing in particular on possibility measures (consonant belief functions) and the related notion of a consistent belief function. The chapters in Part III, Geometric Interplays, are concerned with the interplay of uncertainty measures of different kinds, and the geometry of their relationship, with a particular focus on the approximation problem. Part IV, Geometric Reasoning, examines the application of the geometric approach to the various elements of the reasoning chain illustrated in Chap. 4, in particular conditioning and decision making. Part V concludes the book by outlining a future, complete statistical theory of random sets, future extensions of the geometric approach, and identifying high-impact applications to climate change, machine learning and artificial intelligence. The book is suitable for researchers in artificial intelligence, statistics, and applied science engaged with theories of uncertainty. The book is supported with the most comprehensive bibliography on belief and uncertainty theory.

10th European Conference on Information Systems Management

10th European Conference on Information Systems Management
Author: Paulo Silva,António Guerreiro,Rui Quaresma
Publsiher: Academic Conferences and publishing limited
Total Pages: 325
Release: 2016
ISBN: 1911218050
Category: Electronic Book
Language: EN, FR, DE, ES & NL

10th European Conference on Information Systems Management Book Excerpt:

Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author: Leila Kosseim,Diana Inkpen
Publsiher: Springer
Total Pages: 398
Release: 2012-05-26
ISBN: 3642303536
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, held in Toronto, Canada, in May 2012. The 23 regular papers, 16 short papers, and 4 papers from the Graduate Student Symposium presented were carefully reviewed and selected for inclusion in this book. The papers cover a broad range of topics presenting original work in all areas of artificial intelligence, either theoretical or applied.

Human Performance Technology Concepts Methodologies Tools and Applications

Human Performance Technology  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1946
Release: 2019-05-03
ISBN: 1522583572
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Human Performance Technology Concepts Methodologies Tools and Applications Book Excerpt:

Business practices are rapidly changing due to technological advances in the workplace. Organizations are challenged to implement new programs for more efficient business while maintaining their standards of excellence and achievement. Human Performance Technology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on real-world applications of digital tools for human performance enhancement across a variety of settings. This publication also examines the utilization of problem-based instructional techniques for challenges and solutions encountered by industry professionals. Highlighting a range of topics such as performance support systems, workplace curricula, and instructional technology, this multi-volume book is ideally designed for business executives and managers, business professionals, human resources managers, academicians, and researchers actively involved in the business industry.

Integrating Technology in Positive Psychology Practice

Integrating Technology in Positive Psychology Practice
Author: Villani, Daniela
Publsiher: IGI Global
Total Pages: 447
Release: 2016-02-29
ISBN: 1466699876
Category: Psychology
Language: EN, FR, DE, ES & NL

Integrating Technology in Positive Psychology Practice Book Excerpt:

Most research on the psychological impact of computers and the Internet has focused on the negative side of technology – i.e. how the use (abuse) of interactive systems and videogames can negatively affect mental health and behavior. On the other hand, less attention has been devoted to understanding how emerging technologies can promote optimal functioning at individual, group, and community levels. Integrating Technology in Positive Psychology Practice explores the various roles that technology can play in the development of psychological interventions aimed at helping people thrive. Exploring the ways in which ICT can be utilized to foster positive emotions, promote engagement in empowering activities, and support connectedness between individuals, groups, and communities, this timely publication is designed for use by psychologists, IT developers, researchers, and graduate students.

Computational Techniques for Dental Image Analysis

Computational Techniques for Dental Image Analysis
Author: Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar
Publsiher: IGI Global
Total Pages: 334
Release: 2018-10-30
ISBN: 1522562443
Category: Medical
Language: EN, FR, DE, ES & NL

Computational Techniques for Dental Image Analysis Book Excerpt:

With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.