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The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multimodal application management; and web\/social media mining for multimodal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers, and professionals and a useful reference guide for newcomers to the field. 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AmI is a paradigm emerging from Artificial Intelligence, in which computers are used as proactive tools for assisting people with their day-to-day activities, making everyone’s lives more comfortable. Another main concern of AmI originates from the human–computer interaction domain and focuses on offering ways to interact with systems in a more natural way by means of user-friendly interfaces. The published book correspond to technical and novel works carried out by scientists conducting research within the AmI area in one of the areas mentioned above. The intended readers are those with mainly technical profiles who are already working in the area of AmI or who want to focus their current work in this area. The papers collected in this book were presented at a symposium which was jointly organized by the Universidade do Minho and University of Salamanca. The latest installment was held in Salamanca, Spain, from October 6th to 8th, 2021. 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Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. 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The book pays big attention to novel important CI technology- fuzzy logic (FL) systems and fuzzy neural networks (FNN).  Different FNN including new class of FNN- cascade neo-fuzzy neural networks are considered and their training algorithms are described and analyzed.  The applications of FNN to the forecast in macroeconomics and at stock markets are examined. The book presents the problem of portfolio optimization under uncertainty, the novel theory of fuzzy portfolio optimization free of drawbacks of classical model of Markovitz as well as an application for portfolios optimization at   Ukrainian, Russian and American stock exchanges. The book also presents the problem of corporations bankruptcy risk forecasting under incomplete and fuzzy information, as well as new methods based on fuzzy sets theory and fuzzy neural networks and results of their application for bankruptcy risk forecasting are presented and compared with Altman method. This monograph also focuses on an inductive modeling method of self-organization – the so-called Group Method of Data Handling (GMDH) which enables to construct the structure of forecasting models almost automatically. The results of experimental investigations of GMDH for forecasting at stock exchanges are presented. The final chapters are devoted to theory and applications of evolutionary modeling (EM) and genetic algorithms. The distinguishing feature of this monograph is a great number of practical examples  of CI technologies and methods application for  solution of real problems  in technology, economy  and financial sphere, in particular forecasting, classification, pattern recognition, portfolio optimization, bankruptcy risk prediction  under uncertainty which were developed by authors and published in this book for thefirst time. 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The second section consists of seven chapters describing radically different applications of GE.   The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems.  Topics include: •         Grammar design •         Bias in GE •         Mapping in GE •         Theory of disruption in GE ·               Structured GE·               Geometric semantic GE ·               GE and semantics ·               Multi- and Many-core heterogeneous parallel GE ·               Comparing methods to creating constants in GE ·               Financial modelling with GE ·               Synthesis of parallel programs on multi-cores ·               Design, architecture and engineering with GE ·               Computational creativity and GE ·               GE in the prediction of glucose for diabetes ·               GE approaches to bioinformatics and system genomics ·               GE with coevolutionary algorithms in cybersecurity·               Evolving behaviour trees with GE for platform games ·               Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":52911448391959,"sku":null,"price":17479.59,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9783319787176.jpg?v=1781270234"},{"product_id":"evolve-a-bridge-between-probability-set-oriented-numerics-and-evolutionary-computation-vi-9783319697109","title":"EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI","description":"\u003cp\u003eThis book comprises selected research papers from the 2015 edition of the EVOLVE conference, which was held on June 18–June 24, 2015 in Iași, Romania. 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The 2015 edition shows a major progress in the aim to bring disciplines together and the research on a number of topics that have been discussed in previous editions of the conference matured over time and methods have found their ways in applications. 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