The formal systems of logic have ordinarily been regarded as independent of biology, but recent developments in evolutionary theory suggest that biology and logic may be intimately interrelated. In this book, William Cooper outlines a theory of rationality in which logical law emerges as an intrinsic aspect of evolutionary biology. This biological perspective on logic, though at present unorthodox, could change traditional ideas about the reasoning process. Cooper examines the connections between logic and evolutionary biology and illustrates how logical rules are derived directly from evolutionary principles, and therefore have no independent status of their own. Laws of decision theory, utility theory, induction, and deduction are reinterpreted as natural consequences of evolutionary processes. Cooper's connection of logical law to evolutionary theory ultimately results in a unified foundation for an evolutionary science of reason. It will be of interest to professionals and students of philosophy of science, logic, evolutionary theory, and cognitive science.

In this book the authors draw on what is known, largely from recent research, about the nature of genes and cells, the genetics of development and animal and plant body plans, intra- and interorganismal communication, sensation and perception, to propose that a few basic generalizations, along with the modified application of the classical evolutionary theory, can provide a broader theoretical understanding of genes, evolution, and the diverse and complex nature of living organisms.

Biological evolution is the phenomenon concerning how species are born, are transformed or disappear over time. Its study relies on sophisticated methods that involve both mathematical modeling of the biological processes at play and the design of efficient algorithms to fit these models to genetic and morphological data. Models and Methods for Biological Evolution outlines the main methods to study evolution and provides a broad overview illustrating the variety of formal approaches used, notably including combinatorial optimization, stochastic models and statistical inference techniques. Some of the most relevant applications of these methods are detailed, concerning, for example, the study of migratory events of ancient human populations or the progression of epidemics. This book should thus be of interest to applied mathematicians interested in central problems in biology, and to biologists eager to get a deeper understanding of widely used techniques of evolutionary data analysis.

The central thesis of this book is that the semantic conception is a logical methodologically and heuristically richer and more accurate account of scientific theorizing, and in particular of theorizing in evolutionary biology, than the more widely adhered to syntactic conception. In this book, the author outlines both the conceptions indicating the significant problems with the syntactic conception; explains and criticizes two influential syntactic-conception accounts of the structure of evolutionary theorizing. Thompson also argues that the semantic conception provides a richer and more accurate understanding than the syntactic conception of sociobiological explanation, of the testability of sociobiology, and of the role of culture and cognition in evolutionary explanations of human behavior.

Oxford presents, in one convenient and coherently organized volume, 20 influential but until now relatively inaccessible articles that form the backbone of Boyd and Richerson's path-breaking work on evolution and culture. Their interdisciplinary research is based on two notions. First, that culture is crucial for understanding human behavior; unlike other organisms, socially transmitted beliefs, attitudes, and values heavily influence our behavior. Secondly, culture is part of biology: the capacity to acquire and transmit culture is a derived component of human psychology, and the contents of culture are deeply intertwined with our biology. Culture then is a pool of information, stored in the brains of the population that gets transmitted from one brain to another by social learning processes. Therefore, culture can account for both our outstanding ecological success as well as the maladaptations that characterize much of human behavior. The interest in this collection will span anthropology, psychology, economics, philosophy, and political science.

Atheists assert that the natural world has no meaning or purpose. Dr Denis Alexander, Emeritus Director of The Faraday Institute for Science and Religion at St. Edmunds College, Cambridge, draws a different conclusion. Not only do recent evolutionary biological data appear inconsistent with the claim that the world is purposeless, but the Christian doctrine of creation has provided and continues to provide both context and stimulus for the study of the natural world. Christians started biology! However, is a belief in an omnipotent, benign Creator consistent with a world of pain and suffering? From a lifetime's study in the biological sciences, Denis Alexander believes that whilst the cost of existence is extremely high, it can nonetheless be squared with the idea of a God of love whose ultimate purposes for humankind render that cost more comprehensible.

There are new and important advancements in today’s complexity theories in ICT and requires an extraordinary perspective on the interaction between living systems and information technologies. With human evolution and its continuous link with the development of new tools and environmental changes, technological advancements are paving the way for new evolutionary steps. Complexity Science, Living Systems, and Reflexing Interfaces: New Models and Perspectives is a collection of research provided by academics and scholars aiming to introduce important advancements in areas such as artificial intelligence, evolutionary computation, neural networks, and much more. This scholarly piece will provide contributions that will define the line of development in complexity science.

An anthology of essential writings that cover some of the most influential ideas about the philosophical implications of Darwinism, since the publication of "On the Origin of Species".

This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

A pioneer in evolutionary game theory looks at selfishness and cooperation How does cooperation emerge among selfish individuals? When do people share resources, punish those they consider unfair, and engage in joint enterprises? These questions fascinate philosophers, biologists, and economists alike, for the "invisible hand" that should turn selfish efforts into public benefit is not always at work. The Calculus of Selfishness looks at social dilemmas where cooperative motivations are subverted and self-interest becomes self-defeating. Karl Sigmund, a pioneer in evolutionary game theory, uses simple and well-known game theory models to examine the foundations of collective action and the effects of reciprocity and reputation. Focusing on some of the best-known social and economic experiments, including games such as the Prisoner's Dilemma, Trust, Ultimatum, Snowdrift, and Public Good, Sigmund explores the conditions leading to cooperative strategies. His approach is based on evolutionary game dynamics, applied to deterministic and probabilistic models of economic interactions. Exploring basic strategic interactions among individuals guided by self-interest and caught in social traps, The Calculus of Selfishness analyzes to what extent one key facet of human nature—selfishness—can lead to cooperation.