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Modularity As a Concept Modern Ideas About Mental Modularity Typically Use Fodor (1983) As a Key Touchstone
COGNITIVE PROCESSING International Quarterly of Cognitive Science Mental modularity, metaphors, and the marriage of evolutionary and cognitive sciences GARY L. BRASE University of Missouri – Columbia Abstract - As evolutionary approaches in the behavioral sciences become increasingly prominent, issues arising from the proposition that the mind is a collection of modular adaptations (the multi-modular mind thesis) become even more pressing. One purpose of this paper is to help clarify some valid issues raised by this thesis and clarify why other issues are not as critical. An aspect of the cognitive sciences that appears to both promote and impair progress on this issue (in different ways) is the use of metaphors for understand- ing the mind. Utilizing different metaphors can yield different perspectives and advancement in our understanding of the nature of the human mind. A second purpose of this paper is to outline the kindred natures of cognitive science and evolutionary psychology, both of which cut across traditional academic divisions and engage in functional analyses of problems. Key words: Evolutionary Theory, Cognitive Science, Modularity, Metaphors Evolutionary approaches in the behavioral sciences have begun to influence a wide range of fields, from cognitive neuroscience (e.g., Gazzaniga, 1998), to clini- cal psychology (e.g., Baron-Cohen, 1997; McGuire and Troisi, 1998), to literary theory (e.g., Carroll, 1999). At the same time, however, there are ongoing debates about the details of what exactly an evolutionary approach – often called evolu- tionary psychology— entails (Holcomb, 2001). Some of these debates are based on confusions of terminology, implicit arguments, or misunderstandings – things that can in principle be resolved by clarifying current ideas. -
In Defense of Massive Modularity
3 In Defense of Massive Modularity Dan Sperber In October 1990, a psychologist, Susan Gelman, and three anthropolo- gists whose interest in cognition had been guided and encouraged by Jacques Mehler, Scott Atran, Larry Hirschfeld, and myself, organized a conference on “Cultural Knowledge and Domain Specificity” (see Hirsch- feld and Gelman, 1994). Jacques advised us in the preparation of the conference, and while we failed to convince him to write a paper, he did play a major role in the discussions. A main issue at stake was the degree to which cognitive development, everyday cognition, and cultural knowledge are based on dedicated do- main-specific mechanisms, as opposed to a domain-general intelligence and learning capacity. Thanks in particular to the work of developmental psychologists such as Susan Carey, Rochel Gelman, Susan Gelman, Frank Keil, Alan Leslie, Jacques Mehler, Elizabeth Spelke (who were all there), the issue of domain-specificity—which, of course, Noam Chomsky had been the first to raise—was becoming a central one in cognitive psychol- ogy. Evolutionary psychology, represented at the conference by Leda Cosmides and John Tooby, was putting forward new arguments for seeing human cognition as involving mostly domain- or task-specific evolved adaptations. We were a few anthropologists, far from the main- stream of our discipline, who also saw domain-specific cognitive pro- cesses as both constraining and contributing to cultural development. Taking for granted that domain-specific dispositions are an important feature of human cognition, three questions arise: 1. To what extent are these domain-specific dispositions based on truly autonomous mental mechanisms or “modules,” as opposed to being 48 D. -
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B. M ü ller, G ü nter P. Wagner, and Werner Callebaut, editors The Evolution of Cognition , edited by Cecilia Heyes and Ludwig Huber, 2000 Origination of Organismal Form: Beyond the Gene in Development and Evolutionary Biology , edited by Gerd B. M ü ller and Stuart A. Newman, 2003 Environment, Development, and Evolution: Toward a Synthesis , edited by Brian K. Hall, Roy D. Pearson, and Gerd B. M ü ller, 2004 Evolution of Communication Systems: A Comparative Approach , edited by D. Kimbrough Oller and Ulrike Griebel, 2004 Modularity: Understanding the Development and Evolution of Natural Complex Systems , edited by Werner Callebaut and Diego Rasskin-Gutman, 2005 Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution , by Richard A. Watson, 2006 Biological Emergences: Evolution by Natural Experiment , by Robert G. B. Reid, 2007 Modeling Biology: Structure, Behaviors, Evolution , edited by Manfred D. Laubichler and Gerd B. M ü ller, 2007 Evolution of Communicative Flexibility: Complexity, Creativity, and Adaptability in Human and Animal Communication , edited by Kimbrough D. Oller and Ulrike Griebel, 2008 Functions in Biological and Artifi cial Worlds: Comparative Philosophical Perspectives , edited by Ulrich Krohs and Peter Kroes, 2009 Cognitive Biology: Evolutionary and Developmental Perspectives on Mind, Brain, and Behavior , edited by Luca Tommasi, Mary A. Peterson, and Lynn Nadel, 2009 Innovation in Cultural Systems: Contributions from Evolutionary Anthropology , edited by Michael J. O ’ Brien and Stephen J. Shennan, 2010 The Major Transitions in Evolution Revisited , edited by Brett Calcott and Kim Sterelny, 2011 Transformations of Lamarckism: From Subtle Fluids to Molecular Biology , edited by Snait B. -
Evolutionary Psychology and Human Reasoning: Testing the Domain-Specificity Hypothesis Through Wason Selection Task
Evolutionary Psychology and Human Reasoning: Testing the Domain-Specificity Hypothesis through Wason Selection Task Fabrizio Ferrara ([email protected])* Amedeo Esposito ([email protected])* Barbara Pizzini ([email protected])* Olimpia Matarazzo ([email protected])* *Department of Psychology - Second University of Naples, Viale Ellittico 31, Caserta, 81100 Italy Abstract during phylogenetic development. Both these approaches, albeit based on a different conception of the human mind, The better performance in the selection task with deontic rules, compared to the descriptive version, has been share the assumption that it is better equipped for reasoning interpreted by evolutionary psychologists as the evidence that with general (e.g. Cummins 1996, 2013) or specific (e.g. human reasoning has been shaped to deal with either global or Cosmides, 1989; Cosmides & Tooby, 2013) deontic norms specific deontic norms. An alternative hypothesis is that the rather than with epistemic concepts (i.e. the concepts related two types of rules have been embedded in two different forms to knowledge and belief). of reasoning, about and from a rule, the former demanding Experimental evidence achieved mainly by means of the more complex cognitive processes. In a between-subjects study with 640 participants we manipulated the content of the selection task (Wason, 1966) is thought to support this rule (deontic vs. social contract vs. precaution vs. descriptive) claim. In the original formulation, this task consists in and the type of task (reasoning about, traditionally associated selecting the states of affairs necessary to determine the to indicative tasks, vs. reasoning from, traditionally associated truth-value of a descriptive (or indicative) rule expressed to deontic tasks). -
Review of Jerry Fodor, the Mind Doesn't Work That Way
The Mind Doesn't Work That Way: The Scope and Limits of Computational Psychology (review) Ray Jackendoff Language, Volume 78, Number 1, March 2002, pp. 164-170 (Review) Published by Linguistic Society of America DOI: https://doi.org/10.1353/lan.2002.0024 For additional information about this article https://muse.jhu.edu/article/19286 [ Access provided at 10 May 2020 20:12 GMT from Linguistic Society of America ] 164 LANGUAGE, VOLUME 78, NUMBER 1 (2002) malist studies as the brief summary of the chapters has hopefully shown. All articles complement the work of the festschrift’s honoree, are well-written, and contain interesting data as well as intriguing analyses, pushing the minimalist spirit further ahead. REFERENCES BOSˇKOVIC´,Zˇ ELJKO. 1994. D-structure, theta-criterion, and movement into theta-positions. Linguistic Analysis 24.247–86. MM. 1997. Superiority effects with multiple wh-fronting in Serbo-Croatian. Lingua 102.1–20. CHOMSKY,NOAM. 1995. The minimalist program. Cambridge, MA: MIT Press. MM. 2001. Derivation by phase. Ken Hale: A life in language, ed. by Michael Kenstowicz, 1–52. Cambridge, MA: MIT Press. GRIMSHAW,JANE, and ARMIN MESTER. 1988. Light verbs and -marking. Linguistic Inquiry 19.205–32. HORNSTEIN,NORBERT. 1995. Logical form: From GB to minimalism. Oxford: Blackwell. KAYNE,RICHARD S. 1994. The antisymmetry of syntax. Cambridge, MA: MIT Press. ZAS Ja¨gerstr. 10–11 10117 Berlin Germany [[email protected]] The mind doesn’t work that way: Thescopeand limits of computational psychology. By JERRY FODOR. Cambridge, MA: MIT Press, 2000. Pp. 126. Reviewed by RAY JACKENDOFF, Brandeis University* As has been his wont in recent years, Jerry Fodor offers here a statement of deepest pessimism about the possibility of doing cognitive science except in a very limited class of subdomains. -
The Impact of Component Modularity on Design Evolution: Evidence from the Software Industry
08-038 The Impact of Component Modularity on Design Evolution: Evidence from the Software Industry Alan MacCormack John Rusnak Carliss Baldwin Copyright © 2007 by Alan MacCormack, John Rusnak, and Carliss Baldwin. Working papers are in draft form. This working paper is distributed for purposes of comment and discussion only. It may not be reproduced without permission of the copyright holder. Copies of working papers are available from the author. Abstract Much academic work asserts a relationship between the design of a complex system and the manner in which this system evolves over time. In particular, designs which are modular in nature are argued to be more “evolvable,” in that these designs facilitate making future adaptations, the nature of which do not have to be specified in advance. In essence, modularity creates “option value” with respect to new and improved designs, which is particularly important when a system must meet uncertain future demands. Despite the conceptual appeal of this research, empirical work exploring the relationship between modularity and evolution has had limited success. Three major challenges persist: first, it is difficult to measure modularity in a robust and repeatable fashion; second, modularity is a property of individual components, not systems as a whole, hence we must examine these dynamics at the microstructure level; and third, evolution is a temporal phenomenon, in that the conditions at time t affect the nature of the design at time t+1, hence exploring this phenomenon requires longitudinal data. In this paper, we tackle these challenges by analyzing the evolution of a successful commercial software product over its entire lifetime, comprising six major “releases.” In particular, we develop measures of modularity at the component level, and use these to predict patterns of evolution between successive versions of the design. -
Task-Dependent Evolution of Modularity in Neural Networks1
Task-dependent evolution of modularity in neural networks1 Michael Husk¨ en, Christian Igel, and Marc Toussaint Institut fur¨ Neuroinformatik, Ruhr-Universit¨at Bochum, 44780 Bochum, Germany Telephone: +49 234 32 25558, Fax: +49 234 32 14209 fhuesken,igel,[email protected] Connection Science Vol 14, No 3, 2002, p. 219-229 Abstract. There exist many ideas and assumptions about the development and meaning of modu- larity in biological and technical neural systems. We empirically study the evolution of connectionist models in the context of modular problems. For this purpose, we define quantitative measures for the degree of modularity and monitor them during evolutionary processes under different constraints. It turns out that the modularity of the problem is reflected by the architecture of adapted systems, although learning can counterbalance some imperfection of the architecture. The demand for fast learning systems increases the selective pressure towards modularity. 1 Introduction The performance of biological as well as technical neural systems crucially depends on their ar- chitectures. In case of a feed-forward neural network (NN), architecture may be defined as the underlying graph constituting the number of neurons and the way these neurons are connected. Particularly one property of architectures, modularity, has raised a lot of interest among researchers dealing with biological and technical aspects of neural computation. It appears to be obvious to emphasise modularity in neural systems because the vertebrate brain is highly modular both in an anatomical and in a functional sense. It is important to stress that there are different concepts of modules. `When a neuroscientist uses the word \module", s/he is usually referring to the fact that brains are structured, with cells, columns, layers, and regions which divide up the labour of information processing in various ways' 1This paper is a revised and extended version of the GECCO 2001 Late-Breaking Paper by Husk¨ en, Igel, & Toussaint (2001). -
Modularity in Animal Development and Evolution: Elements of a Conceptual Framework for Evodevo
JOURNAL OF EXPERIMENTAL ZOOLOGY (MOL DEV EVOL) 285:307–325 (1999) Modularity in Animal Development and Evolution: Elements of a Conceptual Framework for EvoDevo GEORGE VON DASSOW*AND ED MUNRO Department of Zoology, University of Washington, Seattle, Washington 98195-1800 ABSTRACT For at least a century biologists have been talking, mostly in a black-box sense, about developmental mechanisms. Only recently have biologists succeeded broadly in fishing out the contents of these black boxes. Unfortunately the view from inside the black box is almost as obscure as that from without, and developmental biologists increasingly confront the need to synthesize known facts about developmental phenomena into mechanistic descriptions of com- plex systems. To evolutionary biologists, the emerging understanding of developmental mecha- nisms is an opportunity to understand the origins of variation not just in the selective milieu but also in the variability of the developmental process, the substrate for morphological change. Ultimately, evolutionary developmental biology (EvoDevo) expects to articulate how the diversity of organic form results from adaptive variation in development. This ambition demands a shift in the way biologists describe causality, and the central problem of EvoDevo is to understand how the architecture of development confers evolvability. We argue in this essay that it makes little sense to think of this question in terms of individual gene function or isolated morphometrics, but rather in terms of higher-order modules such as gene networks and homologous characters. We outline the conceptual challenges raised by this shift in perspective, then present a selection of case studies we believe to be paradigmatic for how biologists think about modularity in devel- opment and evolution. -
Reasoning Versus Text Processing in the Wason Selection Task: a Nondeontic Perspective on Perspective Effects
Memory & Cognition 2000,28 (6), 1060-1070 Reasoning versus text processing in the Wason selection task: A nondeontic perspective on perspective effects AMITALMOR University ofSouthern California, Los Angeles, California and STEVEN A. SLOMAN Brown University, Providence, Rhode Island Weargue that perspective effects in the Wason four-card selection task are a product of the linguis tic interpretation of the rule in the context of the problem text and not of the reasoning process un derlying card selection. In three experiments, participants recalled the rule they used in either a se lection or a plausibility rating task. The results showed that (1) participants tended to recall rules compatible with their card selection and not with the rule as stated in the problem and (2) recall was not affected by whether or not participants performed card selection. Weconclude that perspective ef fects in the Wason selection task do not concern how card selection is reasoned about but instead re flect the inferential text processing involved in the comprehension of the problem text. Together with earlier research that showed selection performance in nondeontic contexts to be indistinguishable from selection performance in deontic contexts (Almor & Sloman, 1996; Sperber, Cara, & Girotto, 1995), the present results undermine the claim that reasoning in a deontic context elicits specialized cognitive processes. A central question regarding the nature ofhuman rea 1966) and as a means ofstudying various factors that may soning is whether it operates solely on the basis ofgen help "rehabilitate" people's apparently illogical thinking eral domain-independent principles or whether reason (Griggs & Cox, 1982, 1983; Wason & Shapiro, 1971), the ing is domain-specific. -
The Emergence of Modularity in Biological Systems
The Emergence of Modularity in Biological Systems Zhenyu Wang Dec. 2007 Abstract: Modularity is a ubiquitous phenomenon in various biological systems, both in genotype and in phenotype. Biological modules, which consist of components relatively independent in functions as well as in morphologies, have facilitated daily performance of biological systems and their long time evolution in history. How did modularity emerge? A mechanism with horizontal gene transfer and a biological version of spin-glass model is addressed here. When the spontaneous symmetry is broken in an evolving environment, here comes modularity. Further improvement is also discussed at the end. 1 Introduction Modularity is an important concept with broad applications in computer science, especially in programming. A module, usually composed of various components, is a relatively independent entity in its operation with respect to other entities in the whole system. For a programmer, the employment of a module will increase the efficiency of coding, decrease the potential of errors, enhance the stability of the operation and facilitate the further improvement of the program. Coincidently, the nature thinks the same in its programming life: various biological systems are also in a modular fashion! Let us take the model organism fruit fly Drosophila melanogaster as an example to sip the ubiquitous modularity in biological systems. In view of morphology, Drosophila is a typical modular insect, whose adult is composed of an anterior head, followed by three thoracic segments, and eight abdominal segments at posterior[1](Fig. 1). Such a kind of segmentation is induced by a cascade of transcription factors in the embryo. First, maternal effect genes which are expressed in the mother’s ovary cells distribute cytoplasmic determinants unevenly in fertilized eggs, which thus determines anterior-posterior and dorsal-ventral axis. -
Conditional Reasoning: the Importance of Individual Differences*
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Repositorio Institucional da Universidade de Santiago de Compostela CONDITIONAL REASONING: THE IMPORTANCE OF INDIVIDUAL DIFFERENCES* Mª Dolores Valiña, Gloria Seoane, Mª José Ferraces & Montserrat Martín University of Santiago de Compostela (Spain) INTRODUCTION The study of thinking and reasoning is a topic of central interest for economists, anthropologists, logicians, pedagogues and of course for psychologists. A central problem in the experimental investigation in Psychology is to describe how people think and reason deductively and inductively. There are three fundamental theoretical approaches to deductive reasoning in the Cognitive Psychology: mental logic, mental models and pragmatic schemas (see Evans, Newstead & Byrne, 1993, for a detailed review). There are several proponents of a universal mental logic (Inhelder & Piaget, 1958) or natural logics (Braine, 1978, 1990, 1994; Braine & O´Brien, 1991; Braine & Rumain, 1983; Osherson, 1974, 1975; Rips, 1983, 1990, 1994). Other authors propose that reasoning is based on construction and evaluation of mental models (Johnson-Laird, 1983; Johnson-Laird & Byrne, 1991). A third approach asserts that reasoning is not based on general inference rules and assumes that people have domain-specific reasoning mechanisms such as pragmatic reasoning schemas inductively acquired (Cheng & Holyoak, 1985, 1989; Cheng, Holyoak, Nisbett & Oliver, 1986; Holyoak & Cheng, 1995) or innates procedures for identify potential deviations from social contracts (Cosmides 1985, 1989; Cosmides & Tooby, 1992) _______________________ * An extended version of this paper has been published in the chapter: “Conditional reasoning: The importance of individual differences”, of the book: Mental Models in Reasoning, J.A. -
How Emotions Affect Logical Reasoning: Evidence from Experiments with Mood-Manipulated Participants, Spider Phobics, and People with Exam Anxiety
Emotion Science How emotions affect logical reasoning: Evidence from experiments with mood-manipulated participants, spider phobics, and people with exam anxiety Nadine Jung, Christina Wranke, Kai Hamburger and Markus Knauff Journal Name: Frontiers in Psychology ISSN: 1664-1078 Article type: Original Research Article Received on: 29 Oct 2013 Accepted on: 22 May 2014 Provisional PDF published on: 22 May 2014 www.frontiersin.org: www.frontiersin.org Citation: Jung N, Wranke C, Hamburger K and Knauff M(2014) How emotions affect logical reasoning: Evidence from experiments with mood-manipulated participants, spider phobics, and people with exam anxiety. Front. Psychol. 5:570. doi:10.3389/fpsyg.2014.00570 /Journal/Abstract.aspx?s=361& /Journal/Abstract.aspx?s=361&name=emotion%20science& name=emotion%20science& ART_DOI=10.3389/fpsyg.2014.00570 ART_DOI=10.3389 /fpsyg.2014.00570: (If clicking on the link doesn't work, try copying and pasting it into your browser.) Copyright statement: © 2014 Jung, Wranke, Hamburger and Knauff. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. This Provisional PDF corresponds to the article as it appeared upon acceptance, after rigorous