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Polarity Intelligence helps leaders overcome conflict, diverse perspectives, and persistent problems which is central to their success in all areas of life. After decades as trusted workplace leaders and organizational coaches, Dr. Tracy Christopherson and Michelle Troseth believe that the missing logic in leadership is a skill called Polarity Intelligence. Polarity Intelligence allows individuals to look at the world through a both/and lens to identify polarities that need to be leveraged, rather than only using an either/or lens and seeing all challenges as problems to be solved. By applying these insights, polarity intelligent leaders will be able to uncover the deeply held beliefs, values, and biases that are inhibiting their own, their team, and their organization’s growth, speeding up organizational change and creating long-term success.
The aim of this book is to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., and to reveal synergies among various paradigms in the multi-disciplinary field of intelligent collaborative systems. It presents the Proceedings of the 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017), held on August 24–26, 2017 in Toronto, Canada. With the rapid evolution of the Internet, we are currently experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm that puts people at the very centre of networks and exploits the value of people’s connections, relations and collaborations. Social networks are also pla ying a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities and organizations effectively leverage intelligent networking and collaborative systems by tapping into a broad range of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and autonomously. In addition, the latest and powerful technologies based on Grid and wireless infrastructure as well as Cloud computing are now greatly enhancing collaborative and networking applications, but are also facing new issues and challenges. The principal objective of the research and development community is to stimulate research that leads to the creation of responsive environments for networking and, in the longer-term, the developmen t of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning.
This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.
This book constitutes the refereed proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008, held in Hanoi, Vietnam, in December 2008. The 49 revised long papers, 33 revised regular papers, and 32 poster papers presented together with 1 keynote talk and 3 invited lectures were carefully reviewed and selected from 234 submissions. The papers address all current issues of modern AI research with topics such as AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc. as well as various exciting and innovative applications of AI to many different areas. Particular importance is attached to the areas of machine learning and data mining, intelligent agents, language and speech processing, information retrieval and extraction.
With 13 contributors, and edited by Dr. Kerrie Fleming and Roger Delves, Inspiring Leadership showcases the best of leadership development practice and the most effective leadership styles that have evolved in recent years or are currently gaining attention. Enhanced by a perspective and vision of the types of leaders and leadership skills that will be needed to meet future global demand, the book has three distinctive characteristics: · it will help leaders to translate the latest thinking and offers a simple way of applying this to their current role; · it offers leaders a means by which to develop themselves and their teams, while assessing how their organization may need to evolve in the changing business environment around them; and · it offers a diverse view of leadership perspectives, from which readers can choose in order to enhance their own leadership style and practice. By mapping out the context of the past, present and future of leadership, including a focus on values, Inspiring Leadership looks at developing authenticity and using emotional intelligence to better cultivate a high level of self-awareness in every leader. The book offers invaluable insights on how best to 'practise' leadership, using the techniques and leadership perspectives that are most commonly used in business school interventions around the world.
University level text. Some complex problems simply do not have "solutions." The key to being an effective leader is being able to recognize and manage such problems. Polarity Management presents a unique model and set of principles that will challenge you to look at situations in new ways. Also included are exercises to strengthen your skills, and case studies to help you begin applying the model to your own unsolvable problems.
Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book. - Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN) - Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making - Edited by high-level academics and researchers in intelligent systems and neural networks
Current and comprehensive, Formal Methods in Developmental Psychology reviews and explains the advantages and details of recent methodological advances in developmental psychology. The latest progress in the use of mathematical and computer-based tools in the formulation of theories and data analysis are discussed. Individual chapters describe different approaches to computer simulation and to mathematical modeling, as well as the use of these models in a number of substantive areas including infant vision, perception of intelligence, spatial knowledge, and memory processes. This unique contribution to the "Springer Series in Cognitive Development" allows the reader a better understanding of the many forms of modeling through explicit descriptions of the steps involved in the use of various methods.
This book reflects on the various ways in which intelligence can manifest itself in the wide range of diverse contexts in which people live. Intelligence is often viewed as being tantamount to a score or set of scores on a decontextualized standardized intelligence test. But intelligence always acts within a sociocultural context. Indeed, early theorists defined intelligence in terms of adaptation to the environment in which one lives. The tradition of decontextualization is old, dating back to the very beginning of the 20th century with the development of the Binet-Simon Intelligence Scales. This tradition is not only old, however, but obsolete. Because people live in different sociocultural as well as physical environments, intelligence can take somewhat different forms in different places and even at different times. The chapters in this edited volume show that intelligence viewed in the abstract is a somewhat vacuous concept - it needs to be contextualized in terms of people’s physical and sociocultural surroundings.