The papers in this volume comprise the refereed proceedings of the conference Arti- cial Intelligence in Theory and Practice (IFIP AI 2010), which formed part of the 21st World Computer Congress of IFIP, the International Federation for Information Pr- essing (WCC-2010), in Brisbane, Australia in September 2010. The conference was organized by the IFIP Technical Committee on Artificial Int- ligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Program Committee. - nal decisions were made by the Executive Program Committee, which comprised John Debenham (University of Technology, Sydney, Australia), Ilias Maglogiannis (University of Central Greece, Lamia, Greece), Eunika Mercier-Laurent (KIM, France) and myself. The best papers were selected for the conference, either as long papers (maximum 10 pages) or as short papers (maximum 5 pages) and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. I should like to thank the Conference Chair, Tharam Dillon, for all his efforts and the members of our Program Committee for reviewing papers under a very tight de- line.

This book represents a new stage in the author’s project to contribute at the development of the humanistic social work theory and methodology, with special attention paid to the professional/ practitioner (social worker, caregiver, psychologist, etc.), to his psychological-spiritual and humane qualities and conducts in practice. * In the PART I is presented THE HUMANISTIC SOCIAL WORK PROJECT – the author’s initiative, started in 2009, with the assumed aim to enhance the effective presence of the humanistic values, theories and practices in contemporary social work, a theoretical, axiological and methodological framework, a heuristic laboratory, a philosophical, scientific and professional forum wherein it can be set, what could be called, the theory, axiology and methodology of the Humanistic Social Work. * PART II, HUMANE AND SPIRITUAL QUALITIES OF THE PROFESSIONAL IN HUMANISTIC SOCIAL WORK is the basic body of the paper, and is composed predominantly of three chapters. The Chapter 1, Humanistic Social Work - The Third Way in Social Work Theory and Practice, is devoted to present, theoretically, the concept, doctrine and specific of humanistic social work, with emphasis on its main sources, values, theories, practices and methods, to circumscribe, philosophically and doctrinally, Humanistic Social Work as the third way, alongside Traditional/ Conventional Social Work and Radical/ Critical Social Work, in the contemporary social work practice and theory, with the assumed claim to imposing even as dominant in the future. The Chapter 2, Humane Personality and Soul – Personal-Psychological Sources of the Professional’s Humane and Spiritual Qualities, shows what might be called, in the author’s view, the personal-psychological sources of the professional’s humane and spiritual qualities in humanistic social work practice, mainly the soul (as the main component of the psychological-ontological sphere of the humane personality), with the sub-spheres: affective (social) soul, spiritual soul (mystical, playful, aesthetic, moral, intellectual) and humane soul. It is not negligible nor the role of the axiological-moral/prosocial sphere, or of the motivational-energetical sphere. In the Chapter 3, Humane and Spiritual Qualities of The Professional in Humanistic Social Work Practice - effectively is reached the content of the topic proposed by the book’s main title, approaching so the theme regarding the humane and spiritual qualities of the professional starting from the category of ”humane personality of the professional”, and insisting on the necessity to define it in connection with the spiritual-humanistic mode/ way of representation and approach of the customer. * The PART III of the book, IDEAS, FRAGMENTS, ELEMENTS OF SOME NEW TEXTS (in working) IN THE HUMANISTIC SOCIAL WORK PROJECT, includes three works, in preparation, to whom is working to appear, in the near future, within the project, respectively “Humanistic Social Work: The Third Way in Social Work Theory and Practice”, “Humanistic Social Work Practice” and “Humanistic Social Work: Humane Personality and Humane Relationships – Basic Resources of Practice”. * The paper ends with some CONCLUSIVE CONSIDERATIONS, where it is inferred the key conclusion that, operating into the sphere of human relations, the main purpose of the professional’s activity, with his humane and spiritual qualities, is that to transform them in HUMANE relationships. To this end, his qualities represents essential personal-professional resources that can facilitate the change, that can humanize the troubled social relationships, the dehumanized, dysfunctional microcommunity, This new environment will impose,

This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a challenging process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions. This book offers a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Also included is an analysis of the set of quality measures most widely used in the field of pattern mining with evolutionary algorithms. This book serves as a review of the most important evolutionary algorithms for pattern mining. It considers the analysis of different algorithms for mining different type of patterns and relationships between patterns, such as frequent patterns, infrequent patterns, patterns defined in a continuous domain, or even positive and negative patterns. A completely new problem in the pattern mining field, mining of exceptional relationships between patterns, is discussed. In this problem the goal is to identify patterns which distribution is exceptionally different from the distribution in the complete set of data records. Finally, the book deals with the subgroup discovery task, a method to identify a subgroup of interesting patterns that is related to a dependent variable or target attribute. This subgroup of patterns satisfies two essential conditions: interpretability and interestingness.

Linear Genetic Programming presents a variant of Genetic Programming that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Typical GP phenomena, such as non-effective code, neutral variations, and code growth are investigated from the perspective of linear GP. This book serves as a reference for researchers; it includes sufficient introductory material for students and newcomers to the field.

This book constitutes the refereed proceedings of the 7th International RuleML Symposium, RuleML 2013, held in Seattle, WA, USA, in July 2013 - collocated with the 27th AAAI 2013. The 22 full papers,12 technical papers in main track, 3 technical papers in human language technology track, and 4 tutorials presented together with 3 invited talks were carefully reviewed and selected from numerous submissions. The accepted papers address topics such as rule-based programming and rule-based systems including production rules systems, logic programming rule engines, and business rules engines/business rules management systems; Semantic Web rule languages and rule standards; rule-based event processing languages (EPLs) and technologies; and research on inference rules, transformation rules, decision rules, production rules, and ECA rules.

Preparing professionals to meet the demands of changes in practice is a compelling issue for the development of society, professions and individual professionals. A key tenet of this book is that we currently prepare professionals for the world of work in ways that are generally limited in scope and inadequate for addressing contemporary professional practice. The book critically investigates professional education programmes and the assumptions upon which they are based. It argues for an ontological turn in which professional education attends not only to what students know and can do, but also who they are becoming as professionals. In a scholarly, well-grounded account, the book closely interweaves theory and empirical material on learning to be professionals. It provides a fresh, innovative approach to designing professional education programmes, as well as to research about this important enterprise. This book makes a timely, insightful contribution to debate about educating for the professions.

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.

Control Systems: Classical, Modern, and AI-Based Approaches provides a broad and comprehensive study of the principles, mathematics, and applications for those studying basic control in mechanical, electrical, aerospace, and other engineering disciplines. The text builds a strong mathematical foundation of control theory of linear, nonlinear, optimal, model predictive, robust, digital, and adaptive control systems, and it addresses applications in several emerging areas, such as aircraft, electro-mechanical, and some nonengineering systems: DC motor control, steel beam thickness control, drum boiler, motional control system, chemical reactor, head-disk assembly, pitch control of an aircraft, yaw-damper control, helicopter control, and tidal power control. Decentralized control, game-theoretic control, and control of hybrid systems are discussed. Also, control systems based on artificial neural networks, fuzzy logic, and genetic algorithms, termed as AI-based systems are studied and analyzed with applications such as auto-landing aircraft, industrial process control, active suspension system, fuzzy gain scheduling, PID control, and adaptive neuro control. Numerical coverage with MATLAB® is integrated, and numerous examples and exercises are included for each chapter. Associated MATLAB® code will be made available.

This book presents the proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision (AICV’2023) which will be held in Marrakesh, Morocco, during March 05–07, 2023. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the computer, Networks, Mobility and Modeling Laboratory (IR2M), Faculty of Sciences and Techniques, Hassan First University, Settat, Morocco, the Scientific Research Group in Egypt (SRGE), Cairo University, and the Automated Systems & Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia. The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, sentiment analysis, and recommendation systems, and software-defined network and telecommunication.