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A Memetic Framework for Cooperative Coevolution of Recurrent Neural Networks
Proceedings of International Joint Conference on Neural Networks, San Jose, California, USA, July 31 – August 5, 2011 A Memetic Framework for Cooperative Coevolution of Recurrent Neural Networks Rohitash Chandra, Marcus Frean and Mengjie Zhang Abstract— Memetic algorithms and cooperative coevolution refinement techniques has been a major focus of study in are emerging fields in evolutionary computation which have memetic computation. There is a need to use non-gradient shown to be powerful tools for real-world application problems based local search, especially in problems where gradient- and for training neural networks. Cooperative coevolution decomposes a problem into subcomponents that evolve inde- based approaches fail, as in the case of training recurrent net- pendently. Memetic algorithms provides further enhancement works in problems with long-term dependencies. Crossover- to evolutionary algorithms with local refinement. The use based local search methods are non-gradient based and have of crossover-based local refinement has gained attention in recently gained attention [8], [9]. In crossover based local memetic computing. This paper employs a cooperative coevo- search, efficient crossover operators which have local search lutionary framework that utilises the strength of local refine- ment via crossover. The framework is evaluated by training properties are used for local refinement with a population recurrent neural networks on grammatical inference problems. of a few individuals. They have shown promising results in The results show that the proposed approach can achieve comparison to other evolutionary approaches for problems better performance than the standard cooperative coevolution with high dimensions [9]. framework. Cooperative coevolution (CC) divides a large problem into smaller subcomponents and solves them independently I. -
A Transdiagnostic Cultural Neuroscience Approach
Journal of Experimental Psychopathology JEP Volume 4 (2013), Issue 5, 502-528 ISSN 2043-8087 / DOI:10.5127/jep.030412 Positive Emotion Regulation and Psychopathology: A Transdiagnostic Cultural Neuroscience Approach Lisa A. Hechtmana, Hannah Railab, Joan Y. Chiaoa, & June Gruberb a Northwestern University, Evanston, IL b Yale University, New Haven, CT Abstract There is burgeoning interest in the study of positive emotion regulation and psychopathology. Given the significant public health costs and the tremendous variance in national prevalence rates associated with many disorders of positive emotion, it is critical to reach an understanding of how cultural factors, along with biological factors, mutually influence positive emotion regulation. Progress in this domain has been relatively unexplored, however, underscoring the need for an integrative review and empirical roadmap for investigating the cultural neuroscientific contributions to positive emotion disturbance for both affective and clinical science domains. The present paper thus provides a multidisciplinary, cultural neuroscience approach to better understand positive emotion regulation and psychopathology. We conclude with a future roadmap for researchers aimed at harnessing positive emotion and alleviating the burden of mental illness cross-culturally. © Copyright 2013 Textrum Ltd. All rights reserved. Keywords: Emotion Regulation; Positive Emotion; Psychopathology; Culture; Neuroscience Correspondence to: June Gruber, Department of Psychology, Yale University, P.O. Box 208205, New Haven, CT 06520. Email: [email protected] 1. Department of Psychology, Northwestern University, 2029 Sheridan Road - 102 Swift Hall, Evanston, IL 60208, USA. 2. Department of Psychology, Yale University, P.O. Box 208205, New Haven, CT 06520, USA. Received 03-Jul-2012; received in revised form 23-Sep-2012; accepted 24-Sep-2012 Journal of Experimental Psychopathology, Volume 4 (2013), Issue 5, 502-528 503 Table of Contents Introduction Positive Emotion Regulation (PER) and Psychopathology BD. -
Biol B242 - Coevolution
BIOL B242 - COEVOLUTION http://www.ucl.ac.uk/~ucbhdjm/courses/b242/Coevol/Coevol.html BIOL B242 - COEVOLUTION So far ... In this course we have mainly discussed evolution within species, and evolution leading to speciation. Evolution by natural selection is caused by the interaction of populations/species with their environments. Today ... However, the environment of a species is always partly biotic. This brings up the possiblity that the "environment" itself may be evolving. Two or more species may in fact coevolve. And coevolution gives rise to some of the most interesting phenomena in nature. What is coevolution? At its most basic, coevolution is defined as evolution in two or more evolutionary entities brought about by reciprocal selective effects between the entities. The term was invented by Paul Ehrlich and Peter Raven in 1964 in a famous article: "Butterflies and plants: a study in coevolution", in which they showed how genera and families of butterflies depended for food on particular phylogenetic groupings of plants. We have already discussed some coevolutionary phenomena: For example, sex and recombination may have evolved because of a coevolutionary arms race between organisms and their parasites; the rate of evolution, and the likelihood of producing resistance to infection (in the hosts) and virulence (in the parasites) is enhanced by sex. We have also discussed sexual selection as a coevolutionary phenomenon between female choice and male secondary sexual traits. In this case, the coevolution is within a single species, but it is a kind of coevolution nonetheless. One of our problem sets involved frequency dependent selection between two types of players in an evolutionary "game". -
Balanced Biosocial Theory for the Social Sciences
UNLV Retrospective Theses & Dissertations 1-1-2004 Balanced biosocial theory for the social sciences Michael A Restivo University of Nevada, Las Vegas Follow this and additional works at: https://digitalscholarship.unlv.edu/rtds Repository Citation Restivo, Michael A, "Balanced biosocial theory for the social sciences" (2004). UNLV Retrospective Theses & Dissertations. 1635. http://dx.doi.org/10.25669/5jp5-vy39 This Thesis is protected by copyright and/or related rights. It has been brought to you by Digital Scholarship@UNLV with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in UNLV Retrospective Theses & Dissertations by an authorized administrator of Digital Scholarship@UNLV. For more information, please contact [email protected]. BALANCED BIOSOCIAL THEORY FOR THE SOCIAL SCIENCES by Michael A. Restivo Bachelor of Arts IPIoridkijSjlarrhcIJiuAHsrsity 2001 A thesis submitted in partial fulfillm ent ofdœnxpnnnnenkfbrthe Master of Arts Degree in Sociology Departm ent of Sociology College of Liberal Arts Graduate College University of Nevada, Las Vegas M ay 2004 Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. UMI Number: 1422154 INFORMATION TO USERS The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleed-through, substandard margins, and improper alignment can adversely affect reproduction. -
Evolutionary Cognitive Neuroscience Cognitive Neuroscience Michael S
MD DALIM #870693 9/24/06 GREEN PURPLE Evolutionary Cognitive Neuroscience Cognitive Neuroscience Michael S. Gazzaniga, editor Gary Lynch, Synapses, Circuits, and the Beginning of Memory Barry E. Stein and M. Alex Meredith, The Merging of the Senses Richard B. Ivry and Lynn C. Robertson, The Two Sides of Perception Steven J. Luck, An Introduction to the Event-Related Potential Technique Roberto Cabeza and Alan Kingstone, eds., Handbook of Functional Neuroimaging of Cognition Carl Senior, Tamara Russell, and Michael S. Gazzaniga, eds., Methods in Mind Steven M. Platek, Julian Paul Keenan, and Todd K. Shackelford, eds., Evolutionary Cognitive Neuroscience Evolutionary Cognitive Neuroscience Edited by Steven M. Platek, Julian Paul Keenan, and Todd K. Shackelford The MIT Press Cambridge, Massachusetts London, England © 2007 Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or informa- tion storage and retrieval) without permission in writing from the publisher. MIT Press books may be purchased at special quantity discounts for business or sales promotional use. For information, please email special_sales@mitpress. mit.edu or write to Special Sales Department, The MIT Press, 55 Hayward Street, Cambridge, MA 02142. This book printed and bound in the United States of America. Library of Congress Cataloging-in-Publication Data Evolutionary cognitive neuroscience / edited by Steven M. Platek, Julian Paul Keenan, and Todd K. Shackelford. p. cm.—(Cognitive neuroscience) Includes bibliographical references and index. ISBN 13: 978-0-262-16241-8 ISBN 10: 0-262-16241-5 1. Cognitive neuroscience. 2. -
The Coevolution Theory of Autumn Colours Marco Archetti1* and Sam P
Received 3 December 2003 FirstCite Accepted 25 February 2004 e-publishing Published online The coevolution theory of autumn colours Marco Archetti1* and Sam P. Brown2 1De´partement de Biologie, Section E´ cologie et E´ volution, Universite´ de Fribourg, Chemin du Muse´e 10, 1700 Fribourg, Switzerland 2Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK According to the coevolution theory of autumn colours, the bright colours of leaves in autumn are a warning signal to insects that lay their eggs on the trees in that season. If the colour is linked to the level of defensive commitment of the tree and the insects learn to avoid bright colours, this may lead to a coevolutionary process in which bright trees reduce their parasite load and choosy insects locate the most profitable hosts for the winter. We try to clarify what the theory actually says and to correct some misun- derstandings that have been put forward. We also review current research on autumn colours and discuss what needs to be done to test the theory. Keywords: autumn colours; coevolution; biological signalling; trees; evolution 1. INTRODUCTION that is also variable. Leaf abscission and senescence may be preadaptations to the phenomenon of autumn colours, Why do leaves change their colour in autumn? Bright aut- but they are by no means the same thing. umn colours occur in many deciduous tree species and The second is that bright colours are not just the effect are well known to everybody. However, an evolutionary of the degradation of chlorophyll, but new pigments are explanation to this question has only recently been put actively produced in autumn (Duggelin et al. -
Cultural Neuroscience: a Historical Introduction and Overview Nicholas O
Unit 9 Biological Psychology, Neuropsychology and Culture Article 1 Subunit 2 Neuropsychology and Culture 8-1-2014 Cultural Neuroscience: A Historical Introduction and Overview Nicholas O. Rule University of Toronto, [email protected] Please address correspondence to: Nicholas O. Rule, Department of Psychology, University of Toronto, [email protected]; this work was supported in part by NSERC 491593. Recommended Citation Rule, N. O. (2014). Cultural Neuroscience: A Historical Introduction and Overview. Online Readings in Psychology and Culture, 9(2). https://doi.org/10.9707/2307-0919.1128 This Online Readings in Psychology and Culture Article is brought to you for free and open access (provided uses are educational in nature)by IACCP and ScholarWorks@GVSU. Copyright © 2014 International Association for Cross-Cultural Psychology. All Rights Reserved. ISBN 978-0-9845627-0-1 Cultural Neuroscience: A Historical Introduction and Overview Abstract The integration of cognitive neuroscience with the study of culture emerged from independent ascensions among both fields in the early 1990s. This marriage of the two previously unconnected areas of inquiry has generated a variety of empirical and theoretical works that have provided unique insights to both partners that might have otherwise gone overlooked. Here, I provide a brief historical introduction to the emergence of cultural neuroscience from its roots in cultural psychology and cognitive neuroscience to its present stature as one of the most challenging but rewarding sub-disciplines to have come from the burgeoning growth of the study of the brain and behavior. In doing so, I overview some of the more studied areas within cultural neuroscience: language, music, mathematics, visual perception, and social cognition. -
Information Systems Theorizing Based on Evolutionary Psychology: an Interdisciplinary Review and Theory Integration Framework1
Kock/IS Theorizing Based on Evolutionary Psychology THEORY AND REVIEW INFORMATION SYSTEMS THEORIZING BASED ON EVOLUTIONARY PSYCHOLOGY: AN INTERDISCIPLINARY REVIEW AND THEORY INTEGRATION FRAMEWORK1 By: Ned Kock on one evolutionary information systems theory—media Division of International Business and Technology naturalness theory—previously developed as an alternative to Studies media richness theory, and one non-evolutionary information Texas A&M International University systems theory, channel expansion theory. 5201 University Boulevard Laredo, TX 78041 Keywords: Information systems, evolutionary psychology, U.S.A. theory development, media richness theory, media naturalness [email protected] theory, channel expansion theory Abstract Introduction Evolutionary psychology holds great promise as one of the possible pillars on which information systems theorizing can While information systems as a distinct area of research has take place. Arguably, evolutionary psychology can provide the potential to be a reference for other disciplines, it is the key to many counterintuitive predictions of behavior reasonable to argue that information systems theorizing can toward technology, because many of the evolved instincts that benefit from fresh new insights from other fields of inquiry, influence our behavior are below our level of conscious which may in turn enhance even more the reference potential awareness; often those instincts lead to behavioral responses of information systems (Baskerville and Myers 2002). After that are not self-evident. This paper provides a discussion of all, to be influential in other disciplines, information systems information systems theorizing based on evolutionary psych- research should address problems that are perceived as rele- ology, centered on key human evolution and evolutionary vant by scholars in those disciplines and in ways that are genetics concepts and notions. -
Insufficient Emotion: Soul-Searching by a Former Indicter of Strong
Emotion Review Vol. 2, No. 3 (July 2010) 234–239 © 2010 SAGE Publications and The International Society for Research on Emotion Insufficient Emotion: Soul-searching by a Former ISSN 1754-0739 DOI: 10.1177/1754073910362598 Indicter of Strong Emotions er.sagepub.com George Loewenstein Department of Social & Decision Sciences, Carnegie Mellon University, USA Abstract Contrary to the many accounts of the destructive effects of strong emotions, this article argues that the most serious problems facing the world are caused by a deficiency rather than an excess of emotions. It then shows how an evolutionary account of emotion can explain when and why such deficiencies occur. Keywords decision making, emotion At that moment I was fully aware for the first time how far advanced the researchers have argued that these types of emotions are benefi- process of paralysis already was in me – it was if I were moving through cial, based on the finding that their absence, whether due to brain flowing, bright water without being halted or taking root anywhere, and I damage (Damasio, 1994) or experimental intervention (e.g., knew very well that this chill was something dead and corpse-like, not yet Wilson & Schooler, 1991) tends to degrade the quality of decision surrounded by the foul breath of decomposition but already numbed beyond recover, a grimly cold lack of emotions. making. Representing a similar perspective, there are myriad (Stefan Zweig, 1922 / 2004, p. 19) stories, presented in books such as The Gift of Fear: Survival Signals That Protect Us From Violence (De Becker, 1997), of Do emotions help or hurt decision making? This question has people who report having survived against the odds as a result of been the focus of much implicit and explicit debate. -
Oxytocin Is a Nonapeptide Involved in a Wide Range of Physiologic OXT Activity Depends on Adequate Interaction with Its Unique and Behavioral Functions
Evolutionary pattern in the OXT-OXTR system in primates: Coevolution and positive selection footprints Pedro Vargas-Pinillaa,1, Vanessa Rodrigues Paixão-Côrtesa,1, Pamela Paréa, Luciana Tovo-Rodriguesa, Carlos Meton de Alencar Gadelha Vieiraa, Agatha Xaviera, David Comasb, Alcides Pissinattic, Marialva Sinigagliaa, Maurício Menegatti Rigoa, Gustavo Fioravanti Vieiraa, Aldo B. Luciond, Francisco Mauro Salzanoa,2, and Maria Cátira Bortolinia,2 aDepartamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, 91501-970 Porto Alegre, RS, Brazil; bInstitut de Biologia Evolutiva, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Spain; cCentro de Primatologia do Rio de Janeiro, 20940-200 Rio de Janeiro, RJ, Brazil; and dDepartamento de Fisiologia, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, 90050-170 Porto Alegre, RS, Brazil Contributed by Francisco Mauro Salzano, November 26, 2014 (sent for review July 11, 2014; reviewed by Guido Barbujani and Rafal Slusarz) Oxytocin is a nonapeptide involved in a wide range of physiologic OXT activity depends on adequate interaction with its unique and behavioral functions. Until recently, it was believed that an receptor, OXTR, although it can also bind to the vasopressin unmodified oxytocin sequence was present in all placental mam- receptors (AVPR1a, AVPR1b, and AVPR2) with lower affinity mals. This study analyzed oxytocin (OXT) in 29 primate species and (11–13). Similar to other receptors that use G proteins as OXTR the oxytocin receptor ( ) in 21 of these species. We report transducer signals across the cell membranes, OXTR is com- here three novel OXT forms in the New World monkeys, as well posed of seven transmembrane (TM1–TM7), four extracellular as a more extensive distribution of a previously described variant (N-terminal tail-ECL3), and four intracellular (ICL1-C-terminal (Leu8Pro). -
8. Primate Evolution
8. Primate Evolution Jonathan M. G. Perry, Ph.D., The Johns Hopkins University School of Medicine Stephanie L. Canington, B.A., The Johns Hopkins University School of Medicine Learning Objectives • Understand the major trends in primate evolution from the origin of primates to the origin of our own species • Learn about primate adaptations and how they characterize major primate groups • Discuss the kinds of evidence that anthropologists use to find out how extinct primates are related to each other and to living primates • Recognize how the changing geography and climate of Earth have influenced where and when primates have thrived or gone extinct The first fifty million years of primate evolution was a series of adaptive radiations leading to the diversification of the earliest lemurs, monkeys, and apes. The primate story begins in the canopy and understory of conifer-dominated forests, with our small, furtive ancestors subsisting at night, beneath the notice of day-active dinosaurs. From the archaic plesiadapiforms (archaic primates) to the earliest groups of true primates (euprimates), the origin of our own order is characterized by the struggle for new food sources and microhabitats in the arboreal setting. Climate change forced major extinctions as the northern continents became increasingly dry, cold, and seasonal and as tropical rainforests gave way to deciduous forests, woodlands, and eventually grasslands. Lemurs, lorises, and tarsiers—once diverse groups containing many species—became rare, except for lemurs in Madagascar where there were no anthropoid competitors and perhaps few predators. Meanwhile, anthropoids (monkeys and apes) emerged in the Old World, then dispersed across parts of the northern hemisphere, Africa, and ultimately South America. -
Advancing the Study of Cultural Evolution: Academic Integration and Policy Applications Description of Conceptual Framework
Advancing the Study of Cultural Evolution: Academic Integration and Policy Applications A workshop held at the University of Maryland College Park Campus March 19th and 20th, 2015 Organizers: Michele Gelfand and David Sloan Wilson Description of Conceptual Framework and Workshop Sessions 1 A Conceptual Framework for the Study of Cultural Evolution The study of genetic evolution has had over a century and a half to mature. The mechanisms of human cultural evolution evolved by genetic evolution and qualify as an evolutionary process in their own right. The study of cultural evolution may therefore make use of the same conceptual framework that has been developed for the study of genetic evolution. Our workshop was organized with this possibility in mind, while also leaving room for discussing the merits of other conceptual frameworks. Session 1: The proximate/ultimate distinction and Tinbergen’s four questions Evolutionary theory draws heavily on the distinction between ultimate and proximate causation (Mayr 1959), which notes that all products of evolution require two explanations: 1) Why a given trait exists, compared to many other traits that could exist (ultimate causation); and 2) How a given trait exists in a physical sense (proximate causation). Niko Tinbergen (1963) independently stressed four questions that need to be asked for all products of evolution, concerning function, phylogeny, mechanism, and development. Tinbergen’s fourfold distinction adds a temporal dimension to Mayr’s two-fold distinction, such that ultimate causation explains the nature of adaptations and the history of their evolution, while proximate causation explains the physical basis of traits and their development during the lifetime of the organism.