Books about Anticipatory from Amazon.com

What happens when an expert on grief is faced with the slow decline of her beloved mother? Like A Grief Observed by C. S. Lewis, Singing Mother Home offers an inside look at the struggles of an "expert" in coping with loss. Donna S. Davenport was forced to rethink the traditional academic approach to the process, which implied that the goal of grief resolution was to end the attachment to the loved one. Instead, she embarked on a personal exploration of her own anticipatory grief. This intimate narrative forms the core of her book. It is emotionally wrenching, but it also provides hope for those going through similar experiences. Just as Davenport used her family's tradition of singing to comfort her mother, readers will be encouraged to find their own sources of comfort in family and legacy. The book concludes by describing psychological approaches to grief and recommending further reading..
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This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2006, held in Rome, Italy, in September 2006, in association with SAB 2006, the 9th International Conference on Simulation of Adaptive Behavior.

The 20 revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The introductory chapter of this state-of-the-art survey not only provides an overview of the contributions included in this volume but also proposes a taxonomy of how anticipatory mechanisms can improve adaptive behavior and learning in cognitive systems. The papers are organized in topical sections on anticipatory aspects in brains, language, and cognition, individual anticipatory frameworks, learning predictions and anticipations, anticipatory individual behavior, as well as anticipatory social behavior.

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Price: $57.13 [Notify me when price goes down.]

Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to given situations. It can be used to simulate anticipatory adaptive behavior. Anticipatory Learning Classifier Systems highlights how anticipations influence cognitive systems and illustrates the use of anticipations for (1) faster reactivity, (2) adaptive behavior beyond reinforcement learning, (3) attentional mechanisms, (4) simulation of other agents and (5) the implementation of a motivational module. The book focuses on a particular evolutionary model learning mechanism, a combination of a directed specializing mechanism and a genetic generalizing mechanism. Experiments show that anticipatory adaptive behavior can be simulated by exploiting the evolving anticipatory model for even faster model learning, planning applications, and adaptive behavior beyond reinforcement learning. Anticipatory Learning Classifier Systems gives a detailed algorithmic description as well as a program documentation of a C++ implementation of the system. It is an excellent reference for researchers interested in adaptive behavior and machine learning from a cognitive science perspective as well as those who are interested in combining evolutionary learning mechanisms for learning and optimization tasks..
Price: $118.55 [Notify me when price goes down.]