Oxytocin Is a Nonapeptide Involved in a Wide Range of Physiologic OXT Activity Depends on Adequate Interaction with Its Unique and Behavioral Functions
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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. -
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". -
Order Representations + a Rich Memetic Substrate
Language Needs A 2nd Order Representations + A Rich Memetic Substrate Joanna J. Bryson ([email protected]) Artificial models of natural Intelligence (AmonI) Group, University of Bath, England, UK Recent research has shown that human semantics can be 2nd-ord. soc. rep. no 2nd-ord reps replicated by surprisingly simple statistical algorithms for vocal imit. people birds memorizing the context in which words occur (McDonald no voc. imit. other primates most animals and Lowe, 1998; Landauer and Dumais, 1997). Assum- ing one accepts the point that semantics is the way that the word is used (which cannot be argued in one page, but see Figure 1: Human-like cultural evolution might require both Wittgenstein (1958) or Quine (1960), and which is the un- a rich memetic substrate as provided by vocal imitation, and derlying assumption of memetics) then why wouldn’t more the capacity for second order social representations. species have supported the evolution of this useful system of rapidly evolving cultural intelligence? Recent work in primatology tells us three relevant facts. might have evolved a sign language as rich as our vocal one. First, we know that apes and even monkeys do have cul- However, if I am correct, and the trick is that the richness of ture (de Waal and Johanowicz, 1993; Whiten et al., 1999). the substrate representing the strictly semantic, ungrounded That is, behavior is reliably and consistently transmitted be- cultural transmission is the key, then we now have an ex- tween individuals by non-genetic means. So we know that planation for why other primates don’t share our level of the question is not “why doesn’t animal culture exist”, but culture. -
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. -
The Evolution of Human Vocal Emotion
EMR0010.1177/1754073920930791Emotion ReviewBryant 930791research-article2020 SPECIAL SECTION: EMOTION IN THE VOICE Emotion Review Vol. 13, No. 1 (January 2021) 25 –33 © The Author(s) 2020 ISSN 1754-0739 DOI:https://doi.org/10.1177/1754073920930791 10.1177/1754073920930791 The Evolution of Human Vocal Emotion https://journals.sagepub.com/home/emr Gregory A. Bryant Department of Communication, Center for Behavior, Evolution, and Culture, University of California, Los Angeles, USA Abstract Vocal affect is a subcomponent of emotion programs that coordinate a variety of physiological and psychological systems. Emotional vocalizations comprise a suite of vocal behaviors shaped by evolution to solve adaptive social communication problems. The acoustic forms of vocal emotions are often explicable with reference to the communicative functions they serve. An adaptationist approach to vocal emotions requires that we distinguish between evolved signals and byproduct cues, and understand vocal affect as a collection of multiple strategic communicative systems subject to the evolutionary dynamics described by signaling theory. We should expect variability across disparate societies in vocal emotion according to culturally evolved pragmatic rules, and universals in vocal production and perception to the extent that form–function relationships are present. Keywords emotion, evolution, signaling, vocal affect Emotional communication is central to social life for many ani- 2001; Pisanski, Cartei, McGettigan, Raine, & Reby, 2016; mals. Beginning with Darwin -
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. -
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. -
Biological and Biomedical Implications of the Co-Evolution of Pathogens and Their Hosts
progress Biological and biomedical implications of the co-evolution of pathogens and their hosts Mark E.J. Woolhouse1, Joanne P. Webster2, Esteban Domingo3, Brian Charlesworth4 & Bruce R. Levin5 Co-evolution between host and pathogen is, in principle, a powerful determinant of the biology and genetics of infection and disease. Yet co-evolution has proven difficult to demonstrate rigorously in practice, and co-evolutionary thinking is only just beginning to inform medical or veterinary research in any meaningful way, even though it can have a major influence on how genetic variation in biomedically important traits is interpreted. Improving our understanding of the biomedical significance of co-evo- lution will require changing the way in which we look for it, complementing the phenomenological approach traditionally favored by evolutionary biologists with the exploitation of the extensive data becoming available on the molecular biology and molecular genetics of host–pathogen interactions. http://www.nature.com/naturegenetics That pathogens and hosts have evolutionary effects on one In this review, we assess the evidence for co-evolution in another and that these effects might be reciprocal—that is, host–pathogen systems. We then explore the complexities of pathogens and hosts co-evolve—are attractive, plausible and studying co-evolution in the ‘real world’, where there are many powerful ideas whose implications for the medical and veteri- different constraints on the potential for pathogen and host to nary sciences are only just beginning to be recognized1. An co-evolve. We proceed to consider the largely untapped oppor- important instance concerns the genetics of susceptibility to and tunity for studying co-evolution at the mechanistic as well as pathogenicity of infectious diseases. -
The Evolution of Cooperation Robert Axelrod; William D. Hamilton Science, New Series, Vol
The Evolution of Cooperation Robert Axelrod; William D. Hamilton Science, New Series, Vol. 211, No. 4489. (Mar. 27, 1981), pp. 1390-1396. Stable URL: http://links.jstor.org/sici?sici=0036-8075%2819810327%293%3A211%3A4489%3C1390%3ATEOC%3E2.0.CO%3B2-6 Science is currently published by American Association for the Advancement of Science. Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at http://www.jstor.org/journals/aaas.html. Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission. The JSTOR Archive is a trusted digital repository providing for long-term preservation and access to leading academic journals and scholarly literature from around the world. The Archive is supported by libraries, scholarly societies, publishers, and foundations. It is an initiative of JSTOR, a not-for-profit organization with a mission to help the scholarly community take advantage of advances in technology. For more information regarding JSTOR, please contact [email protected]. http://www.jstor.org Fri Jan 4 15:02:00 2008 The latest data for 1978 suggests that the situa- ary 1975) the Committee on Science and Tech- budget appropriations." In other words, it tion may, in fact, be deteriorating. -
Primatology & Human Evolution
Anthropology 350 syllabus p. 1 Primatology & Human Evolution S. Cachel Anthropology 350 (070:350:01) Spring, 2018 This sylabus can be downloaded from the from the class Sakai site, accessible via the Rutgers Sakai portal (http://sakai.rutgers.edu/portal). Course Venue: Monday, Wednesday, 2:15-3:35 P.M. Hickmann 130, Douglass Campus Instructor: Susan Cachel Office: Room 203C, Biological Sciences Building, Douglass Campus. Use the left staircase to the second floor; my office is in the complex of offices immediately to the right of the stairwell. Office phone: 848-932-9270 848-932-9886 (departmental office) email: [email protected] Office Hours (Spring Semester): Monday, 12-2 P.M., or by appointment Required Texts: Shea, J.J. 2017. Stone Tools in Human Evolution. New York: Cambridge University Press. Tuttle, R.H. 2014. Apes and Human Evolution. Cambridge, MA: Harvard University Press. The textbooks are on order from the University Bookstore, Somerset Street and College Avenue, in downtown New Brunswick. Pdf files of other class readings will be posted on the class Sakai site under “Resources.” Course Description: This is a course in physical anthropology that deals with the history of primatology and paleoanthropology. It integrates knowledge of the anatomy and behavior of non-human primates with knowledge of human anatomy and behavior. It also uses comparative animal behavior to deal with general questions about how behavior evolves, as well as specific questions about the origins of intelligence and technology. The course also uses archaeological evidence and mammal and primate models to examine the origins of complex sociality.