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Author | : Bruce H. Lipton |
Publisher | : Hay House, Inc |
Total Pages | : 433 |
Release | : 2010-08-01 |
Genre | : Body, Mind & Spirit |
ISBN | : 1401926312 |
We’ve all heard stories of people who’ve experienced seemingly miraculous recoveries from illness, but can the same thing happen for our world? According to pioneering biologist Bruce H. Lipton, it’s not only possible, it’s already occurring. In Spontaneous Evolution, this world-renowned expert in the emerging science of epigenetics reveals how our changing understanding of biology will help us navigate this turbulent period in our planet’s history and how each of us can participate in this global shift. In collaboration with political philosopher Steve Bhaerman, Dr. Lipton invites readers to reconsider: •the "unquestionable" pillars of biology, including random evolution, survival of the fittest, and the role of DNA; •the relationship between mind and matter; •how our beliefs about nature and human nature shape our politics, culture, and individual lives; and •how each of us can become planetary "stem cells" supporting the health and growth of our world.By questioning the old beliefs that got us to where we are today and keep us stuck in the status quo, we can trigger the spontaneous evolution of our species that will usher in a brighter future. .
Author | : Armin W. Schulz |
Publisher | : MIT Press |
Total Pages | : 281 |
Release | : 2022-11-01 |
Genre | : Psychology |
ISBN | : 0262546736 |
An argument that representational decision making is more cognitively efficient, allowing an organism to adjust more easily to changes in the environment. Many organisms (including humans) make decisions by relying on mental representations. Not simply a reaction triggered by perception, representational decision making employs high-level, non-perceptual mental states with content to manage interactions with the environment. A person making a decision based on mental representations, for example, takes a step back from her perceptions at the time to assess the nature of the world she lives in. But why would organisms rely on representational decision making, and what evolutionary benefits does this reliance provide to the decision maker? In Efficient Cognition, Armin Schulz argues that representational decision making can be more cognitively efficient than non-representational decision making. Specifically, he shows that a key driver in the evolution of representational decision making is that mental representations can enable an organism to save cognitive resources and adjust more efficiently to changed environments. After laying out the foundations of his argument—clarifying the central questions, the characterization of representational decision making, and the relevance of an evidential form of evolutionary psychology—Schulz presents his account of the evolution of representational decision making and critically considers some of the existing accounts of the subject. He then applies his account to three open questions concerning the nature of representational decision making: the extendedness of decision making, and when we should expect cognition to extend into the environment; the specialization of decision making and the use of simple heuristics; and the psychological sources of altruistic behaviors.
Author | : Roger Frantz |
Publisher | : Routledge |
Total Pages | : 249 |
Release | : 2007-06-14 |
Genre | : Business & Economics |
ISBN | : 1135994161 |
Economists working on behavioral economics have been awarded the Nobel Prize four times in recent years. This book explores this innovative area and in particular focuses on the work of Harvey Leibenstein, one of the pioneers of the discipline. The topics covered in the book include agency theory; dynamic efficiency; evolutionary economics; X-efficiency; the effect of emotions, specifically affect on decision-making; market pricing; experimental economics; human resource management; the Carnegie School, and intra-industry efficiency in less developed countries.
Author | : Neil M. Kay |
Publisher | : Springer |
Total Pages | : 186 |
Release | : 1982-06-18 |
Genre | : Business & Economics |
ISBN | : 1349061123 |
Author | : Heike Trautmann |
Publisher | : Springer |
Total Pages | : 717 |
Release | : 2017-02-17 |
Genre | : Computers |
ISBN | : 3319541579 |
This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Münster, Germany in March 2017. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.
Author | : Jörgen W. Weibull |
Publisher | : MIT Press |
Total Pages | : 292 |
Release | : 1997 |
Genre | : Business & Economics |
ISBN | : 9780262731218 |
Introduces current evolutionary game theory--where ideas from evolutionary biology and rationalistic economics meet--emphasizing the links between static and dynamic approaches and noncooperative game theory. This text introduces current evolutionary game theory--where ideas from evolutionary biology and rationalistic economics meet--emphasizing the links between static and dynamic approaches and noncooperative game theory. Much of the text is devoted to the key concepts of evolutionary stability and replicator dynamics. The former highlights the role of mutations and the latter the mechanisms of selection. Moreover, set-valued static and dynamic stability concepts, as well as processes of social evolution, are discussed. Separate background chapters are devoted to noncooperative game theory and the theory of ordinary differential equations. There are examples throughout as well as individual chapter summaries. Because evolutionary game theory is a fast-moving field that is itself branching out and rapidly evolving, Jörgen Weibull has judiciously focused on clarifying and explaining core elements of the theory in an up-to-date, comprehensive, and self-contained treatment. The result is a text for second-year graduate students in economic theory, other social sciences, and evolutionary biology. The book goes beyond filling the gap between texts by Maynard-Smith and Hofbauer and Sigmund that are currently being used in the field. Evolutionary Game Theory will also serve as an introduction for those embarking on research in this area as well as a reference for those already familiar with the field. Weibull provides an overview of the developments that have taken place in this branch of game theory, discusses the mathematical tools needed to understand the area, describes both the motivation and intuition for the concepts involved, and explains why and how it is relevant to economics.
Author | : Carlos A. Coello Coello |
Publisher | : Springer Science & Business Media |
Total Pages | : 927 |
Release | : 2005-02-17 |
Genre | : Computers |
ISBN | : 3540249834 |
This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005. The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.
Author | : Kalyanmoy Deb |
Publisher | : Springer |
Total Pages | : 768 |
Release | : 2019-02-28 |
Genre | : Computers |
ISBN | : 303012598X |
This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019. The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.
Author | : Paramvir Singh |
Publisher | : Springer Nature |
Total Pages | : 601 |
Release | : |
Genre | : |
ISBN | : 9819713390 |
Author | : Randal Berry |
Publisher | : Springer Nature |
Total Pages | : 84 |
Release | : 2022-05-31 |
Genre | : Computers |
ISBN | : 3031792548 |
Packet delay and energy consumption are important considerations in wireless and sensor networks as these metrics directly affect the quality of service of the application and the resource consumption of the network; especially, for a rapidly growing class of real-time applications that impose strict restrictions on packet delays. Dynamic rate control is a novel technique for adapting the transmission rate of wireless devices, almost in real-time, to opportunistically exploit time-varying channel conditions as well as changing traffic patterns. Since power consumption is not a linear function of the rate and varies significantly with the channel conditions, adapting the rate has significant benefits in minimizing energy consumption. These benefits have prompted significant research in developing algorithms for achieving optimal rate adaptation while satisfying quality of service requirements. In this book, we provide a comprehensive study of dynamic rate control for energy minimization under packet delay constraints. We present several formulations and approaches adopted in the literature ranging from discrete-time formulations and dynamic programming based solutions to continuous-time approaches utilizing ideas from network calculus and stochastic optimal control theory. The goal of this book is to expose the reader to the important problem of wireless data transmission with delay constraints and to the rich set of tools developed in recent years to address it. Table of Contents: Introduction / Transmission Rate Adaptation under Deadline Constraints / Average Delay Constraints