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Evolutionary:     more books (99)

THEOLOGY AND EVOLUTIONARY PSYCHOLOGY.: An article from: Skeptic (Altadena, CA) by Kari Konkola, Glenn Sunshine, 1999-03-22 Not at the edge of contemplation.(common sense): An article from: Journal of Evolutionary Psychology by Howard W. Bischoff, 2006-10-01 Outlines & Highlights for Evolutionary Psychology: The New Science of the Mind by Buss, ISBN: 0205370713 (Cram101 Textbook Outlines) by Cram101 Textbook Reviews, 2006-06-02 The Functional Mind: Readings in Evolutionary Psychology by Douglas T. Kenrick, Carol L. Luce, 2003-10-17 An Evolutionary Psychology of Leader-Follower Relations by Patrick McNamara, David Trumbull, 2008-10 Evolutionary Psychology and Information Systems Research: A New Approach to Studying the Effects of Modern Technologies on Human Behavior (Integrated Series in Information Systems) Evolutionary Psychology and Economic Theory, Volume 7 (Advances in Austrian Economics) Darwin's Bass: The Evolutionary Psychology of Fishing Man by Quinnett, 1998-09 The Puzzle: Exploring the Evolutionary Puzzle of Male Homosexuality by Louis A. Berman, 2003-06-15 Free Will, Consciousness and Self: Anthropological Perspectives on Psychology by Preben Bertelsen, 2006-11 Peer Prejudice And Discrimination: Evolutionary, Cultural, And Developmental Dynamics (Developmental Psychology Series) by Harold Fishbein, 1996-04-11 Research on Altruism and Love: An Annotated Bibliography of Major Studies in Psychology, Sociology, Evolutionary Biology, and Theology The Debated Mind: Evolutionary Psychology versus Ethnography Neo-liberal Genetics: The Myths and Moral Tales of Evolutionary Psychology by Susan McKinnon, 2006-02-01

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101. Introduction
     Researches and develops applications using evolutionary algorithms and genetic algorithms for finance and engineering.  
     http://www.revolutionaryengineering.com/
     
     Extractions: The robust capability of EAs to find solutions to difficult problems has permitted them to become the optimization and search techniques of choice by many industries. From the design of jet engines to the scheduling of airline crews, EAs, in their various forms, are routinely solving a multitude of complex, multi-dimensional, multi-modal optimization problems. But what happens if the information that has been provided to the EA changes? Despite the obviously successful application of evolutionary techniques to complex problems, the resultant solutions are often fragile, and prone to failure when subjected to even minor changes in the problem. Many practical engineering, economic, and information technology problems require systems that adapt to changes over time. Examples of problems where environmental changes could cause the fitness landscape to be dynamic include: target recognition, where the sensor performance varies based on environmental conditions; scheduling problems, where available resources vary over time; financial trading models, where market conditions can change abruptly; investment portfolio evaluation, where the assessment of investment risk varies over time; and data mining, where the contents of the database are continuously updated. Our motivation for designing EAs for solving dynamic problems is simple. With the continuing increases in available processing power, it is becoming computationally possible to assign an EA to continuously solve actual dynamic problems without the need for human intervention. This requires that the EA continuously provide a “satisfactory” level of performance when subjected to a dynamic fitness landscape, and we strive to ensure such performance.

102. DEMO
     Research on dynamical systems approach to cognitive modeling and evolutionary approaches to developing intelligent systems.  
     http://demo.cs.brandeis.edu
     
     Extractions: Brandeis University DEMO attacks problems in agent cognition using complex machine organizations that are created from simple components with minimal human design effort. We study recurrent neural networks, evolutionary computation, and dynamical systems as substrates. We build working systems to test our theories. Here are some of our themes. Coevolution

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