Dan Simon

Mediators have long debated whether “evaluative mediation,” the kind commonly practiced by retired judges and others who frequently mediate in the context of litigation, should be called mediation. The crux of that debate concerns whether evaluations by the mediator undermine party self-determination. Simon and West’s book is intended to advance the conversation beyond the question of evaluation to include subtler ways in which mediators may undermine or support self-determination. Self-determination is a principle that distinguishes mediation from other forms of dispute resolution and is a topic taught in most introductory mediator training courses. Discussions generally focus on the experience of participants and the techniques employed to nurture and safe-guard self-determination. Much of the writings that touch on self-determination talk about the techniques and strategies mediators use in order to support party self-determination. Uniquely, Tara West and Dan Simon follow a different path. They too are interested in the methods used by mediators, but what distinguishes their book is their examination of the mediator’s decision-making process. In a step-by-step exploration, they show first how mediators assess the situation, then generate a possible explanation for the parties’ attitudes, behaviors and ways of communicating, and finally choose an approach intended to encourage party self-determination. As part of examining the mediators thought process, the authors also describe how, in generating an explanation, mediators purposefully examine their own reactions to the parties as well as their own beliefs and theories. In this, they show how beliefs influence action—a key aspect of reflective practice. In the practice examples they explore throughout the book, the authors also emphasize the importance of and methods for learning from and through experience.

Mediators have long debated whether “evaluative mediation,” the kind commonly practiced by retired judges and others who frequently mediate in the context of litigation, should be called mediation. The crux of that debate concerns whether evaluations by the mediator undermine party self-determination. Simon and West’s book is intended to advance the conversation beyond the question of evaluation to include subtler ways in which mediators may undermine or support self-determination. Self-determination is a principle that distinguishes mediation from other forms of dispute resolution and is a topic taught in most introductory mediator training courses. Discussions generally focus on the experience of participants and the techniques employed to nurture and safe-guard self-determination. Much of the writings that touch on self-determination talk about the techniques and strategies mediators use in order to support party self-determination. Uniquely, Tara West and Dan Simon follow a different path. They too are interested in the methods used by mediators, but what distinguishes their book is their examination of the mediator’s decision-making process. In a step-by-step exploration, they show first how mediators assess the situation, then generate a possible explanation for the parties’ attitudes, behaviors and ways of communicating, and finally choose an approach intended to encourage party self-determination. As part of examining the mediators thought process, the authors also describe how, in generating an explanation, mediators purposefully examine their own reactions to the parties as well as their own beliefs and theories. In this, they show how beliefs influence action—a key aspect of reflective practice. In the practice examples they explore throughout the book, the authors also emphasize the importance of and methods for learning from and through experience.

An intimate portrait of one of the most fascinating and complex history-makers of our century, published to coincide with the 30th anniversary of his death Intertwining the details of Abbie Hoffman's intense personal life with the dramatic politics of the sixties, seventies, and eighties, Jack Hoffman creates a full and poignant portrait of his older brother. From the creation of the Yippies in 1967, the tumult of the 1968 Democratic Natonal Convention protests, the humor and agaony of the Chicago conspiracy trial, the scandal of Abbie's 1973 cocaine bust and his six and half years as a fugitive, to his reemergence as environmentalist "Barry Freed" and his final struggle with manic-depressive illness, this biography offers a compelling examination of the contradictions that make Abbie Hoffman such a compelling figure. With the information and affection only a brother could bring to the complexities of Abbie's life, Jack Hoffman, together with Daniel Simon, portrays Abbie's public persona alongside his private aspirations and fears, romances, and enduring family relationships.

Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based optimization (BBO) is an optimization algorithm that is based on the science of biogeography, which researches the migration patterns of species. These migration paradigms provide the main logic behind BBO. Due to the cross-disciplinary nature of the optimization problems, there is a need to develop multiple approaches to tackle them and to study the theoretical reasoning behind their performance. This book explains the mathematical model of BBO algorithm and its variants created to cope with continuous domain problems (with and without constraints) and combinatorial problems.

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear?but theoretically rigorous?understanding of evolutionary algorithms, with an emphasis on implementationGives a careful treatment of recently developed EAs?including opposition-based learning, artificial fish swarms, bacterial foraging, and many others? and discusses their similarities and differences from more well-established EAsIncludes chapter-end problems plus a solutions manual available online for instructorsOffers simple examples that provide the reader with an intuitive understanding of the theoryFeatures source code for the examples available on the author's websiteProvides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.

The criminal justice process is unavoidably human. Police detectives, witnesses, suspects, and victims shape the course of investigations, while prosecutors, defense attorneys, jurors, and judges affect the outcome of adjudication. In this sweeping review of psychological research, Dan Simon shows how flawed investigations can produce erroneous evidence and why well-meaning juries send innocent people to prison and set the guilty free. The investigator’s task is genuinely difficult and prone to bias. This often leads investigators to draw faulty conclusions, assess suspects’ truthfulness incorrectly, and conduct coercive interrogations that can lead to false confessions. Eyewitnesses’ identification of perpetrators and detailed recollections of criminal events rely on cognitive processes that are often mistaken and can easily be skewed by the investigative procedures used. In the courtroom, jurors and judges are ill-equipped to assess the accuracy of testimony, especially in the face of the heavy-handed rhetoric and strong emotions that crimes arouse. Simon offers an array of feasible ways to improve the accuracy of criminal investigations and trials. While the limitations of human cognition will always be an obstacle, these reforms can enhance the criminal justice system’s ability to decide correctly whom to release and whom to punish.

A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimationSimple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practiceMATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.