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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.
As the use of libraries changes, leaders need to improve their emotional intelligence and critical thinking in order to attract and retain users. Focused on practical management advice, this is an engaging discussion of how library leaders can grow in their role.
This book provides a rich collection of the work that has been informed by the ideas of the eminent family therapist and clinical psychologist, Dr David Campbell who died in August 2009. Contributors are drawn from different fields and describe models they have developed for organizational consultation, training, therapy and research. The book includes a range of important topics, key ideas which thread through contemporary theoretical frameworks, a research study into young people's experience of parental mental illness, and the application of Dr Campbell's use of semantic polarity theory in supervision, research and clinical practice. The innovative consultancy model developed by David Campbell with Marianne Groenbaek is elaborated here. Personal accounts of work in different contexts include a priest consulting within his community, the use of self in training systemic psychotherapists, the experience of consultation in academic settings, and a narrative of a training course for psychiatrists. Interspersed with these chapters are David Campbell's own reflections concerning the development of his ideas and practice over time.
This book constitutes the thoroughly refereed proceedings of the 31st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, held in Montreal, QC, Canada, in June 2018. The 53 full papers and 33 short papers presented were carefully reviewed and selected from 146 submissions. They are organized in the following topical sections: constraint solving and optimization; data mining and knowledge discovery; evolutionary computation; expert systems and robotics; knowledge representation, machine learning; meta-heuristics; multi-agent systems; natural language processing; neural networks; planning, scheduling and spatial reasoning; rough sets, Internet of Things (IoT), ubiquitous computing and big data; data science, privacy, and security; inelligent systems approaches in information extraction; and artificial intelligence, law and justice.
The gap between psychotherapeutic practice and clinical theory is ever widening. Therapists still don’t know what role interpersonal relations play in the development of the most common psychopathologies. Valeria Ugazio bridges this gap by examining phobias, obsessive-compulsions, eating disorders, and depression in the context of the family, using an intersubjective approach to personality. Her concept of “semantic polarities” gives a groundbreaking perspective to the construction of meaning in the family and other interpersonal contexts. At no point is theory left in the wasteland of abstraction. The concreteness of the many case studies recounted, and examples taken from well-known novels, will allow readers to immediately connect the topics discussed with their own experience.
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.
This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction
This book constitutes the refereed conference proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015. The 73 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers cover a wide range of topics in applied artificial intelligence including reasoning, robotics, cognitive modeling, machine learning, pattern recognition, optimization, text mining, social network analysis, and evolutionary algorithms. They are organized in the following topical sections: theoretical AI, knowledge-based systems, optimization, Web and social networks, machine learning, classification, unsupervised learning, vision, image and text processing, and intelligent systems applications.