Computational Intelligence is a broad and active research area that is growing rapidly due to the many successful applications of these new techniques in very diverse problems. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products developed using computational intelligence methods is evidence of this fact. The goal of this book is to provide highlights of the current research in computational intelligence area. The book consists of research papers in the fields of neural networks, fuzzy logic, evolutionary computing, hybrid evolutionary computing-fuzzy logic systems, hybrid neural networks-evolutionary computing and fuzzy logic systems, image processing and vision, advances in robotics, control and manufacturing, and rough sets.

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 thoroughly refereed joint post-proceedings of the 17th and 18th annual conferences of the Japanese Society for Artificial Intelligence, JSAI 2003 and JSAI 2004, and co-located international workshops, held in Niigata, Japan in June 2003 and in Kanazawa, Japan in May/June 2004 respectively. It features a number of award winning papers as well as revised full workshop papers from these conferences.

This book constitutes the thoroughly refereed post-conference proceedings of the JSAI-isAI 2015 Workshops LENLS 12, JURISIN 9, AAA 2015, HAT-MASH 2015, TSDAA 2015, ASD-HR 2015, and SKL 2015, held in Kanagawa, Japan, in November 2015. The 39 regular papers presented in this volume were carefully reviewed and selected from 114 submissions. LENLS 12 (Logic and Engineering of Natural Language Semantics) is an annual international workshop on formal semantics and pragmatics and focused on discourse particles; disjunction; truth; copredication; expressive content; categorial grammar; dependent type semantics; sequent calculus; and various aspects of formal pragmatics. JURISIN 9 (Juris-Informatics) is the 9th event in the series. The purpose of this workshop is to discuss fundamental and practical issues such as law, social science, information and intelligent technology, logic and philosophy, including the conventional “AI and law” area. AAA 2015 (Argument for Agreement and Assurance) has the goal of deepening a mutual understanding and exploring a new research field involving researchers/practitioners in formal and informal logic, artificial intelligence, and safety engineering working on agreement and assurance through argument. HAT-MASH 2015 (Healthy Aging Tech Mashup Service, Data and People) provides a forum to discuss important research questions and practical challenges in healthy aging and elderly care support to promote transdisciplinary approaches. TSDAA 2015 (Workshop on Time Series Data Analysis and its Applications) aimes at providing an interdisciplinary forum for discussion of different approaches and techniques of time series data analysis and their implementation in various real life applications. ASD-HR 2015 (Autism Spectrum Disorders Using a Humanoid Robot) presents the studies in the interdisciplinary field of research including both engineering and medical sides. SKL 2015 (Skill Science) discusses the theoretical foundations of skill science as well as practical and engineering issues.

This book constitutes the thoroughly refereed post-conference proceedings of the JSAI-isAI 2013 Workshops LENLS, JURISIN, MiMI, AAA, and DDS which tool place on October 2013, in Japan. The 28 contributions in this volume were carefully reviewed and selected from 48 submissions. LENLS (Logic and Engineering of Natural Language Semantics) is an annual international workshop on formal semantics and pragmatics. LENLS10 was the tenth event in the series, and it focused on the formal and theoretical aspects of natural language. JURISIN (Juris-Informatics) 2013 was the seventh event in the series. The purpose of this workshop was to discuss fundamental and practical issues for jurisinformatics, bringing together experts from a variety of relevant backgrounds, including law, social science, information and intelligent technology, logic,and philosophy (including the area of AI and law). MiMI (Multimodality in Multiparty Interaction) 2013 covers topics as follows interaction studies, communication studies, conversation analysis, and workplace studies, as well as their applications in other research fields. AAA (Argument for Agreement and Assurance) 2013 focused on the theoretical foundations of argumentation in AI, and the application of argumentation to various fields such as agreement formation and assurance. DDS (Data Discretization and Segmentation for Knowledge Discovery) 2013 discussed segmentation methods for various types of data, such as graphs, trees, strings, and continuous data, and their applications in the areas of Machine Learning and Knowledge Discovery.

"This book focuses on the integration of emotions into artificial environments such as computers and robotics"--Provided by publisher.

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).

Arti?cial intelligence has recently been re-energized to provide the clues needed to resolve complicated problems. AI is also expected to play a central role in enhancing a wide variety of daily activities. JSAI (The Japanese Society for Arti?cial Intelligence) is responsible for boosting the activities of AI researchers in Japan, and their series of annual conferences o?ers attractive forums for the exposition of the latest achievements and inter-group communication. In the past, the best papers of the conferences were published in the LNAI series. This book consists of award papers from the 22nd annual conference of the JSAI (JSAI 2008) and selected papers from the three co-located workshops. Eight papers were selected among more than 400 presentations at the conference and 18 papers were selected from the 34 presentations at the co-located wo- shops; Logic and Engineering of Natural Language Semantics 5 (LENLS 2008), the 2nd International Workshop on Juris-informatics (JURISIN 2008), and the First International Workshop on Laughter in Interaction and Body Movement (LIBM 2008). The award papers from JSAI 2008 were selected through a r- orous selection process. In the process, papers recommended by session chairs, session commentators, and PC members were carefully reviewed, before the ?nal decision was made.

The 7th Scandanavian Conference on Artificial Intelligence, held at the Maersk McKinney Moller Institute for Production Technology at the University of Southern Denmark, Odense, in Feb 2001 continued a tradition established by SCAI of being an important conference in Europe. It attracted submissions from all over the world. Contents include: robotics; sensor/motor intelligence; evolutionary robotics; behaviour-based systems; multi-agent systems; applications of AI in bioinformatics; soft computing and heuristic algorithms, where paradigms from nature are used to build learning and optimization systems; and control and optimization.