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This book constitutes the refereed proceedings of the 21st International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2008, held in Wroclaw, Poland, in June 2008. The 75 revised full papers presented were carefully reviewed and selected from 302 submissions. The papers are organized in topical sections on computer vision, fuzzy system applications, robot and manufacturing, data mining and KDS, neural networks, machine learning, natural language processing, internet application and education, heuristic search, application systems, agent-based system, evolutionary and genetic algorithms, knowledge management, and other applications. The book concludes with 15 contributions from the following special sessions: knowledge driven manufacturing systems, joint session on adaptive networked systems and fuzzy knowledge bases, and software agents and multi-agent systems.
Get the tools, resources and insights you need to explore artificial intelligence in the classroom and explore what students need to know about living in a world with AI. For many, artificial intelligence, or AI, may seem like science fiction, or inherently overwhelming. The reality is that AI is already being applied in industry and, for many of us, in our daily lives as well. A better understanding of AI can help you make informed decisions in the classroom that will impact the future of your students. Drawing from a broad variety of expert voices from countries including Australia, Japan, and South Africa, as well as educators from around the world and underrepresented student voices, this book explores some of the ways AI can improve education. These include educating learners about AI, teaching them about living in a world where they will be surrounded by AI and helping educators understand how they can use AI to augment human ability. Each chapter offers activities and questions to help you deepen your understanding, try out new concepts and reflect on the information presented. Links to media artifacts from trusted sources will help make your learning experience more dynamic while also providing additional resources to use in your classroom. This book: • Offers a unique approach to the topic, with chapter opening scenes, case studies, and featured student voices. • Discusses a variety of ways to teach students about AI, through design thinking, project-based learning and STEM connections. • Includes lesson ideas, activities and tools for exploring AI with your students. • Includes references to films and other media you can use in class to start discussions on AI or inspire design thinking and STEM projects. In Teaching AI, you’ll learn what AI is, how it works and how to use it to better prepare students in a world with increased human-computer interaction.
This book constitutes the proceedings of the PAKDD Workshops 2008, namely ALSIP 2008, DMDRM 2008, and IDM 2008. The workshops were held in conjunction with the PAKDD conference in Osaka, Japan, during May 20-23, 2008. The 17 papers presented were carefully reviewed and selected from 38 submissions. The International Workshop on Algorithms for Large-Sale Information Processing in Knowledge Discovery (ALSIP) focused on exchanging fresh ideas on large-scale data processing in the problems of data mining, clustering, machine learning, statistical analysis, and other computational aspects of knowledge discovery problems. The Workshop on Data Mining for Decision Making and Risk Management (DMDRM) covered data mining and machine learning approaches, statistical approaches, chance discovery, active mining and application of these techniques to medicine, marketing, security, decision support in business, social activities, human relationships, chemistry and sensor data. The Workshop on Interactive Data Mining Overview (IDM) discussed various interactive data mining researches such as interactive information retrieval, information gathering sysetms, personalization systems, recommendation systems, user interfaces.
This book presents a summary of recent work on the interface between artificial intelligence and statistics. It does this through a series of papers by different authors working in different areas of this interface. These papers are a selected and referenced subset of papers presented at the 3rd Interntional Workshop on Artificial Intelligence and Statistics, Florida, January 1991.
This book constitutes the refereed proceedings of 4 workshops held at the JSAI International Symposia on Artificial Intelligence 2010, in Tokyo, Japan, in November 2009. The 24 revised full papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the workshop sections Logic and Engineering of Natural Language Semantics (LENLS), Juris-Informatics (JURISIN), Knowledge Collaboration in Software Development (KCSD), and Learning with Logics and Logics for Learning (LLLL).
In this issue of Surgical Pathology Clinics, guest editor Dr. Alain Borczuk brings his considerable expertise to the topic of New Frontiers in Thoracic Pathology. Top experts provide new insights into emerging technology that will affect thoracic pathology in both neoplastic and non-neoplastic disease. This issue covers updates in the utilization of molecular testing in surgical pathology of lung cancer and mesothelioma, highlights uncommon tumors in the differential of common tumors, and shares new approaches to non-neoplastic disease, including new clinicopathologic entities. - Contains 13 relevant, practice-oriented topics including silicosis and non-asbestos associated pneumoconiosis; pathology of COVID-19 lung disease; salivary gland type lung cancer; microsatellite instability, mismatch repair and tumor mutation burden in lung cancer; artificial intelligence in lung pathology; and more. - Provides in-depth clinical reviews on new frontiers in thoracic pathology, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
The chapters of the book are evolved from presentations made by selected participants at the 2005 BISC International Special Event, held at the University of California at Berkely. The papers include reports from the different front of soft computing in various industries and address the problems of different fields of research in fuzzy logic, fuzzy set and soft computing. The book provides a collection of forty-four articles in two volumes.
This book constitutes the refereed proceedings of the 20th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2007, held in Kyoto, Japan. Coverage includes text processing, fuzzy system applications, real-world interaction, data mining, machine learning chance discovery and social networks, e-commerce, heuristic search application systems, and other applications.
Recent years have witnessed an increasing awareness of the importance and relevance of creativity in social and psychological life. This has led to an awakening of research into creativity. The book "New Frontiers in Creativity" deals with themes that have emerged due to the expanding boundaries of research in creativity. These concern primarily new perspectives in regard to creativity, discovering of creativity in new populations and nurturing of creativity in new domains and spheres of action. The book presents four new perspectives concerning creativity. The first is a comprehensive model of creativity (by Kreitler) that does justice to the complexity of creativity in terms of the constitutive components, ranging from cognition through motivation, emotions, personality, psychopathology, behavior and the environment, focusing on the rich variety of variables in each of the components and their interactions. Another perspective focuses on creativity in the study and research of creativity (by Runco) by adopting meta-cognitive powerful tactics in the study and nurturing of creativity. A third new perspective describes the innovative methods and findings in neurophysiology of creativity, particularly in brain studies (by Shemyakina and Nagornova). The set of new perspectives is complemented by a description of the social processes characterizing the spread and maintenance of innovative ideas (by Fokas). The innovation in terms of populations is presented in the discussion of creativity in individuals diagnosed with dyslexia (by Cancer and Antonietti), in the controversial sphere of psychopathology (by Thys) and in the elderly (by Cohen-Shalev). Notably, the creativity of all three populations has been increasingly recognized in recent years. The third part of the book is devoted to creativity in various domains, including painting (by Vardi), psychotherapy (by Buzdugan, Grigore and Dinca), engineering (by Engel), architecture (by Casakin), sports (by Santos, Sampaio and Memmert) and nature (by Edlinger). The book includes 13 chapters, written by internationally known experts from different countries -- Austria, Belgium, Hungary, Italy, Israel, Portugal, Romania, Russia, and USA -- responsible for discoveries in the specific aspect of creativity with which they deal. The different chapters of the book present innovative approaches, based on empirical evidence and innovative methodologies. Thereby they contribute to the setting of the scene for new developments and new applications of creativity in the rapidly changing world that is in increasing need for creativity.
Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of meaningful symbols, prominent in knowledge representation. In the past, these two fields of AI have been largely separate, with very little crossover, but the so-called “third wave” of AI is now bringing them together. This book, Neuro-Symbolic Artificial Intelligence: The State of the Art, provides an overview of this development in AI. The two approaches differ significantly in terms of their strengths and weaknesses and, from a cognitive-science perspective, there is a question as to how a neural system can perform symbol manipulation, and how the representational differences between these two approaches can be bridged. The book presents 17 overview papers, all by authors who have made significant contributions in the past few years and starting with a historic overview first seen in 2016. With just seven months elapsed from invitation to authors to final copy, the book is as up-to-date as a published overview of this subject can be. Based on the editors’ own desire to understand the current state of the art, this book reflects the breadth and depth of the latest developments in neuro-symbolic AI, and will be of interest to students, researchers, and all those working in the field of Artificial Intelligence.