Gentner, D. and Gentner, D.R

Total Page:16

File Type:pdf, Size:1020Kb

Gentner, D. and Gentner, D.R Generative Analogies as Mental Models Dedre Gentner Subject explaining electric current: If you in- to predict the set of inferences that should follow crease resistance in the circuit, the current slows from use of a given analogy; (2) contrast two analogi- down. Now thats like a high--cars on a highway cal models for the domain and show that they lead to where you--if you notice as you close down a lane, different indirect inferences; (3) to show that peoples you have cars moving along. Okay, as you go down inferences concerning simple circuits vary according to into the thing, the cars move slower through that which of these models they use; and finally (4) to narrow point. discuss the general issue of analogical models and structure-mapping. When people are reasoning about an unfamiliar do- main, they often appear to use analogies, as in the A structure-mapping theory of analogy. The claim above example from a protocol. Analogies are also used here is that analogies select certain aspects of exist- in teaching, as in the following excerpt: ing knowledge, and that this selected knowledge can be The idea that electricity flows as water does is a structurally characterized. First, lets consider what Picture the wires as pipes carrying good analogy. an analogy is not. An analogy such as water (electrons). Your wall plug is a high-pres- (1) An electric circuit with a battery and resistor sure source which you can tap simply by inserting much like a plumbing system with a reservoir a plug. The plug has two prongs--one to take the and a constricted section of pipe. flow to the lamp, radio, or air conditioner, the clearly does not convey that all of ones knowledge second to conduct the flow back to the wall. A about the plumbing system should be attributes! to the valve (switch) is used to start or stop flow. circuit. The inheritance of characteristics is only If implicit or explicit analogies are an important partial. This might suggest that an analogy is a weak determinant of the way people think about complex sys- similarity statement, conveying that some but not tems, then it becomes crucial to know exactly how such all of the characteristics of the base system apply to analogies work. This paper considers the psychological the target system. But this weak characterization fails role of these analogies in structuring the target to capture the distinction between literal similarity domain. and analogical relatedness. Contrast statement (1) with The first question that must be posed is whether a literal similarity statement like such seeming analogical models do in fact strongly (2) A hose is like a pipe. affect the persons conceptualization of the target The literal domain (the Generative Analogy hypothesis), or whether similarity statement (2) conveys that the pipe and they are merely convenient ways of talking about the the hose share object attributes--e.g. cylindrical domain (the Mere Terminology hypothesis). The mere use shape--as well as sharing similar relationships with of terms borrowed from a given domain--as, for example, other objects--e.g. CONVEY (hose, water)/CONVEY (pipe, when electricity is discussed in terms of moving vehi- water). Statement (1) also conveys considerable overlap cles or flowing water--is not in itself proof that the in functional relations: e.g. I MPEDE (resistor, current) speaker is conceiving of electricity as deeply analo- /IMPEDE (constriction, water). However, it does not gous to traffic or to water flow. convey overlap of objects and their attributes. The To demonstrate that an analogy has generative con- resistor as a separ to object need not have any quali- ceptual power, we must show that nontrivial inferences ties in common with A constriction. The analogy, in specific to the base occur in the target. These infer- short, conveys overlap in the system of relations ences must be such that they cannot be attributed to among objects, but no particular overlap in the charac- shallow lexical associations; e.g. it is not enough to teristics of the objects themselves. The literal find that the person who speaks of electricity as similarity statement conveys overlap both in relations "flowing" also uses terms such as "capacity" or among the objects and in the attributes of the indivi- "pressure". Such usage is certainly suggestive of a dual objects. Generative Analogy, but it could also occur under the The analogical models used in science can be Mere Terminology hypothesis. characterized as structure-mappings between complex The goal here is to show that, at least some of systems. In these analogies, the objects of the known the time, the Generative Analogy hypothesis holds: domain, the base domain, are mapped onto the objects of that deep, indirect inferences in the target follow the domain of inquiry, the target domain; the predicates from use of a given base domain as an analogical model. of the base domain--particularly the relations that hold To do this, we must first decide what inferences should among the nodes--are then applied in the target domain. follow from use of a given analogy, and then observe Structure-mapping analogy asserts that identical opera- whether the analogies people adopt appear to affect the tions and relationships hold among nonidentical things. set of inferences they readily make. The relational structure is preserved, but not the The plan of this paper is (1) to propose a objects. structure-mapping theory of analogy that will allow us Given a particular propositional representation of knowledge we can proceed with an explicit charac- terization of analogical mapping. A structure-mapping analogy between a target system T and a base system B This research was supported by the Office of Naval Re- search and was carried out at Bolt Beranek and Newman and at U.C.S.D. Donald Gentner collaborated on all aspects of this work, but particularly in developing the two analogical models of electricity. I thank Allan Collins, Ken Forbus, Ed Smith and Al Stevens for many insightful comments on this research. Please address correspondence to Dedre Gentner, Bolt Beranek Newman, 50 Moulton Street, Cambridge, MA 02138. 9 7 To model of imple elecic cici. One common analog ed o each imple elecici i baed on plmbing em. Fige 1 ho he ce-mapping coneed b hi analog. The objec-node of he hdalic bae domain (e.g. he eeoi and conic- ion) ae mapped ono he objec-node (he bae and eio) of he cici. Gien hi coepondence of node, he analog cone ha he elaionhip ha hold beeen he objec and objec-aibe of he hdalic em alo hold beeen he node of he elecic em: fo eample, ha cen inceae ih olage j a ae of ae flo inceae ih Combinaional poblem. One a o obee deep pee; and ha cen deceae ih eiance indiec infeence in he age domain i o ak j a he ae of ae flo deceae ih degee abo diffeen combinaion of componen. Fo eample, of conicion. e can ak ho he cen in a cici ih o ei- A econd kind of analog fo elecic cici i o in eie o in paallel compae ih ha in a baed on objec moing hogh che. Cen i imple one-eio cici. The ane ae no ob- een a a moing cod of mall objec: olage i he io. The fo cici geneaed b eie and paa- foad pee o phine of he objec. Like he llel combinaion of baeie and eio ae non- plmbing model, he moing-objec model poide ela- anpaen. The poide an ecellen a o obee ion ha map efll ino he elecical em: If e infeence, a oppoed o hallo ebal aocia- e imagine a oce of phine coeponding o he ion. To dedce he cen in hee fo cici, bae, and gae in he che coeponding o he he peon m moe beond he fi-age naie model eio, hen he moe phine, he highe he ae of cici (hon in Fige 1). Thi fi leel of of aggegae moion; he naoe he gae, he loe i nigh i ha baeie make fo moe cen, ei- he ae of aggegae moion. o make fo le cen. Thee le hold fo baeie and eio in eie, b no fo paallel combinaion, a hon in Fige 2. Paallel baeie Alhogh hee o analogie cone man of he gie he ame cen a a ingle em, no moe; ame elaion, in ome epec he diffe in he hile paallel eio allo moe cen han in a apne of he elaional mach ih he age domain, imple cici, no le. paiclal if e conide lighl moe comple cici (ee Genne and Genne, in pe.) 98 Figure 2. CROWD MODEL Current and voltage in simple serial and parallel Again I have all these people coming along configuration circuits. here. I have this big area here where people are milling around. I think it is crucial SIMPLE CIRCUIT CURRENT VOLTAGE that I separate them though before they get x At x At x to the gates . I can model the two gate system by just putting the two gates right into the arena just like that. So this is one possible model of the two gate system. There are two gates instead of one which seems to imply that the resistance would be y I V half as great if there were only one gate R for all those people. SERIAL' BATTERIES This protocol suggests that models do affect infer- x ences. The following study tests this possibility more on a larger scale.
Recommended publications
  • Philósophos N. 2 V. 9
    DOSSIÊS MODELS AND THE DYNAMICS OF THEORIES Paulo Abrantes Universidade de Brasília [email protected] Abstract: This paper gives a historical overview of the ways various trends in the philosophy of science dealt with models and their relationship with the topics of heuristics and theoretical dynamics. First of all, N. Campbell’s account of analogies as components of scientific theories is presented. Next, the notion of ‘model’ in the reconstruction of the structure of scientific theories proposed by logical empiricists is examined. This overview finishes with M. Hesse’s attempts to develop Campbell’s early ideas in terms of an analogical inference. The final part of the paper points to contemporary developments on these issues which adopt a cognitivist perspective. It is indicated how discussions in the cognitive sciences might help to flesh out some of the insights philosophers of science had concerning the role models and analogies play in actual scientific theorizing. Key words: models, analogical reasoning, metaphors in science, the structure of scientific theories, theoretical dynamics, heuristics, scientific discovery. Hesse (1976) suggests that different philosophical explications of the roles models play in science correspond to different models of science. As a matter of fact, the explication of scientific modeling became a central issue in the criticism and revision of logical empiricism in the 50’s and the 60’s. The critics of the logical empiricist explication of models pointed out that it doesn’t capture one of the roles models play in science: that of providing guidelines for the development of theories.1 PHILÓSOPHOS 9 (2) : 225-269, jul./dez.
    [Show full text]
  • For Mechanics of Materials Subject (Mms)
    Emirates Journal for Engineering Research, 13 (2), 73-78 (2008) (Regular Paper) ANALOGY BASED LEARNING (ABL) FOR MECHANICS OF MATERIALS SUBJECT (MMS) M. Isreb School of Applied Sciences and Engineering, Monash University Gippsland Campus Northways Road, Churchill, Victoria 3842, Australia Email: [email protected] (Received May 2008 and accepted August 2008) ﻻ يوجد دليل في المراجع واﻷبحاث المنشورة على استخدام التعليم بواسطة النمذجة للعنصر الرياضي في مادة الھندسة الميكانيكية للمواد المتشكلة (والمعروفة أيضاً في أوساط معملي الھندسة باسم ميكانيكا المواد (MMS)). ويھدف تطبيق التعليم بواسطة النمذجة المقدم في ھذه الورقة إلى محاولة تسھيل استيعاب الطﻻب لتلك المادة الصعبة. وقد تم استخدام الطريقة القياسية لنمذجة العزوم باسلوب مبتكر. وقد اختبر الباحث ھذه الطريقة لمدة عشرين عاماً في جامعة موناش باستراليا. وأثبتت الطريقة نجاحھا بغض النظر عن طريقة الطﻻب وقدرتھم على التحصيل طبقاً ﻻمكانياتھم العقلية. وتميزت الطريقة بقابلية التطوير والمرونة. There is no evidence in the literature of using Analogy based-learning (ABL) education for the mathematics components of Engineering Mechanics of Deformable Bodies subject (also known widely amongst engineering educators by the name Mechanics of Materials subject, abbreviated as MMS). The motive of using the ABL for MMS in the present paper is to attempt to make, such already difficult subject, easy one to get across to students. The method used in the paper is based on standard ABL methodology of coupling, in an innovative way, each ABL source with an ABL target of the MMS. The author has tested the new approach for two decades at Monash University, Australia. The approach has proved to bring the students potentials to its fullest regardless of their style of learning, within the eight brain sectors.
    [Show full text]
  • Analogies in Physics Analysis of an Unplanned Epistemic Strategy
    . Analogies in Physics Analysis of an Unplanned Epistemic Strategy Von der Philosophischen Fakultät der Gottfried Wilhelm Leibniz Universität Hannover zur Erlangung des Grades Doktors der Philosophie Dr. phil. Genehmigte Dissertation von Ing. grad. MA Gunnar Kreisel Erscheinungs- bzw. Druckjahr 2021 Referent: Prof. Dr. Mathias Frisch Korreferent: Prof. Dr. Torsten Wilholt Tag der Promotion: 26.10.2020 2 To my early died sister Uta 3 Acknowledgements I could quote only very few by name who have contributed to my work on this thesis, for discussing some of the developed ideas with me or comments on parts of my manuscript. These are in the first place my advisor Mathias Frisch and further Torsten Wilholt, who read critically individual chapters. Much more have contributed by some remarks or ideas mentioned in passing which I cannot assign to someone explicitly and therefore must be left unnamed. Also, other people not named here have supported my work in the one or other way. I think they know who were meant if they read this. A lot of thanks are due to Zoe Vercelli from the International Writing centre at Leibniz University Hannover improving my English at nearly the whole manuscript (some parts are leaved to me because of organisational changes at the writing centre). So, where the English is less correct Zoe could not have had a look on it. Of course, all errors and imprecisions remain in solely my responsibility. 4 Abstract This thesis investigates what tools are appropriate for answering the question how it is possible to develop such a complex theory in physics as the standard model of particle physics with only an access via electromagnetic interaction of otherwise unobservable objects and their interactions it was investigated what the tools are to do this.
    [Show full text]
  • Homogenization of Processes in Nonlinear Visco-Elastic Composites
    Ann. Scuola Norm. Sup. Pisa Cl. Sci. (5) Vol. X (2011), 611-644 Homogenization of processes in nonlinear visco-elastic composites AUGUSTO VISINTIN Abstract. The constitutive behaviour of a multiaxial visco-elastic material is here represented by the nonlinear relation t ε A(x) σ(x, τ) dτ α(σ, x), − : ∈ !0 which generalizes the classical Maxwell model of visco-elasticity of fluid type. Here α( , x) is a (possibly multivalued) maximal monotone mapping, σ is the stress te·nsor, ε is the linearized strain tensor, and A(x) is a positive-definite fourth-order tensor. The above inclusion is here coupled with the quasi-static σ force-balance law, div f#. Existence and uniqueness of the weak solution are proved for a bou−ndary-v=alue problem. Convergence to a two-scale problem is then derived for a composite ma- terial, in which the functions α and A periodically oscillate in space on a short length-scale. It is proved that the coarse-scale averages of stress and strain solve a single-scale homogenized problem, and that conversely any solution of this prob- lem can be represented in that way. The homogenized constitutive relation is represented by the minimization of a time-integrated functional, and is rather dif- ferent from the above constitutive law. These results are also retrieved via De Giorgi’s notion of %-convergence. These conclusions are at variance with the outcome of so-called analogical models, that rest on an (apparently unjustified) mean-field-type hypothesis. Mathematics Subject Classification (2010): 35B27 (primary); 49J40, 73E50, 74Q (secondary).
    [Show full text]
  • Characterizing Ecohydrological and Biogeochemical Connectivity Across Multiple Scales: a New Conceptual Framework
    ECOHYDROLOGY Ecohydrol. (2010) Published online in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/eco.187 Characterizing ecohydrological and biogeochemical connectivity across multiple scales: a new conceptual framework Lixin Wang,1*ChrisZou,2 Frances O’Donnell,1 Stephen Good,1 Trenton Franz,1 Gretchen R. Miller,3 Kelly K. Caylor,1 Jessica M. Cable4 and Barbara Bond5 1 Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA 2 Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK, USA 3 Department of Civil Engineering, Texas A&M University, College Station, TX, USA 4 International Arctic Research Center, University of Alaska, Fairbanks, AK, USA 5 Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR 97331, USA ABSTRACT The connectivity of ecohydrological and biogeochemical processes across time and space is a critical determinant of ecosystem structure and function. However, characterizing cross-scale connectivity is a challenge due to the lack of theories and modelling approaches that are applicable at multiple scales and due to our rudimentary understanding of the magnitude and dynamics of such connectivity. In this article, we present a conceptual framework for upscaling quantitative models of ecohydrological and biogeochemical processes using electrical circuit analogies and the Thevenin’s´ theorem. Any process with a feasible linear electrical circuit analogy can be represented in larger scale models as a simplified Thevenin´ equivalent. The Thevenin´ equivalent behaves identically to the original circuit, so the mechanistic features of the model are maintained at larger scales. We present three case applications: water transport, carbon transport, and nitrogen transport.
    [Show full text]
  • A Break-Down Model for Cost Estimation of Composites a Thesis
    A Break-Down Model for Cost Estimation of Composites A thesis presented to the faculty of the Russ College of Engineering and Technology of Ohio University In partial fulfillment of the requirements for the degree Master of Science Aniruddha V. Joshi August 2018 © 2018 Aniruddha V. Joshi. All Rights Reserved. 2 This thesis titled A Break-Down Model for Cost Estimation of Composites by ANIRUDDHA V. JOSHI has been approved for the Department of Industrial and Systems Engineering and the Russ College of Engineering and Technology by Dale Masel Associate Professor of Industrial and Systems Engineering Dennis Irwin Dean, Russ College of Engineering and Technology 3 ABSTRACT JOSHI, ANIRUDDHA V., M.S., August 2018, Industrial and Systems Engineering A Break-Down Model for Cost Estimation of Composites Director of Thesis: Dale Masel With the development of cheaper composite materials and more efficient manufacturing processes, there has been a steady growth in the applications as well as the interest of small and medium scale enterprises to manufacture composite parts. Current methods for cost estimation of composites require many inputs and CAD models. The methodology developed in this thesis will enable manufacturers and designers to obtain a preliminary cost estimate for composite parts based on minimum information during the early design stages. The total cost estimate calculated in this thesis follows the break-down approach where the total cost is broken down into its primary and secondary cost components. The break-down model follows a hierarchical structure of calculating the usage of materials and time, which are at a lower level, based on the user inputs and then using these lower level costs to calculate the upper level cost estimates.
    [Show full text]
  • Resources for Research on Analogy: a Multi- Disciplinary Guide Marcello Guarini University of Windsor
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Scholarship at UWindsor University of Windsor Scholarship at UWindsor Philosophy Publications Department of Philosophy 2009 Resources for Research on Analogy: A Multi- disciplinary Guide Marcello Guarini University of Windsor Amy Butchart Paul Smith Andrei Moldovan Follow this and additional works at: http://scholar.uwindsor.ca/philosophypub Part of the Philosophy Commons Recommended Citation Guarini, Marcello; Butchart, Amy; Smith, Paul; and Moldovan, Andrei. (2009). Resources for Research on Analogy: A Multi- disciplinary Guide. Informal Logic, 29 (2), 84-197. http://scholar.uwindsor.ca/philosophypub/18 This Article is brought to you for free and open access by the Department of Philosophy at Scholarship at UWindsor. It has been accepted for inclusion in Philosophy Publications by an authorized administrator of Scholarship at UWindsor. For more information, please contact [email protected]. Resources for Research on Analogy: A Multi-disciplinary Guide MARCELLO GUARINI* Department of Philosophy University of Windsor Windsor, ON Canada [email protected] AMY BUTCHART Department of Philosophy Guelph University Gulph, ON Canada [email protected] PAUL SIMARD SMITH Department of Philosophy University of Waterloo Waterloo, ON Canada [email protected] ANDREI MOLDOVAN Faculty of Philosophy Department of Logic, History and Philosophy of Science University of Barcelona Barcelona, Spain [email protected] * The first author wishes to thank the Social Sciences and Humanities Research Council of Canada for financial support over the four years during which this project was completed. ©Marcello Guarini, Amy Butchart, Paul Simard Smith, Andrei Moldovan. Informal Logic, Vol. 29, No.2, pp.
    [Show full text]
  • The Effectiveness of Model-Based Instruction on Student Achievement and Student Metacognition in Advanced Chemistry Classes" (2017)
    Kennesaw State University DigitalCommons@Kennesaw State University Doctor of Education in Secondary Education Department of Secondary and Middle Grades Dissertations Education Fall 10-25-2017 The ffecE tiveness of Model-Based Instruction on Student Achievement and Student Metacognition in Advanced Chemistry Classes Amanda Edwards Follow this and additional works at: http://digitalcommons.kennesaw.edu/seceddoc_etd Part of the Science and Mathematics Education Commons Recommended Citation Edwards, Amanda, "The Effectiveness of Model-Based Instruction on Student Achievement and Student Metacognition in Advanced Chemistry Classes" (2017). Doctor of Education in Secondary Education Dissertations. 11. http://digitalcommons.kennesaw.edu/seceddoc_etd/11 This Dissertation is brought to you for free and open access by the Department of Secondary and Middle Grades Education at DigitalCommons@Kennesaw State University. It has been accepted for inclusion in Doctor of Education in Secondary Education Dissertations by an authorized administrator of DigitalCommons@Kennesaw State University. For more information, please contact [email protected]. The Effectiveness of Model-Based Instruction on Student Achievement and Student Metacognition in Advanced Chemistry Classes by Amanda D. Edwards Doctoral Candidate A Dissertation Presented to the Faculty of the Graduate School October 25, 2017 Dr. Michelle Head, chairperson Dr. Kimberly Cortes Dr. Nita Paris Kennesaw State University i ACKNOWLEDGEMENTS This journey to completing this degree would not have been possible without my dissertation committee. My sincerest thanks are given to my dissertation chair, Dr. Michelle Head for her ability to always find the positive and to guide me, encourage me, and drag me (when necessary) toward all that was needed to finish this work. I would like to express my appreciation to Dr.
    [Show full text]
  • Learning to See Analogies: a Connectionist Exploration
    LEARNING TO SEE ANALOGIES: A CONNECTIONIST EXPLORATION Douglas S. Blank 6XEPLWWHGWRWKHIDFXOW\RIWKH*UDGXDWH6FKRRO LQSDUWLDOIXOILOOPHQWRIWKHUHTXLUHPHQWV IRUWKHMRLQWGHJUHHRI'RFWRURI3KLORVRSK\ LQWKH'HSDUWPHQWVRI&RPSXWHU6FLHQFH DQG &RJQLWLYH6FLHQFH ,QGLDQD8QLYHUVLW\ December 1997 &RS\ULJKW 'RXJODV6%ODQN ALL RIGHTS RESERVED ii Accepted by the Graduate Faculty, Indiana University, in partial fulfillment of the requirements of the degree of Doctor of Philosophy. Doctoral Committee ____________________________________ Michael Gasser, Ph.D. (Principal Advisor) ____________________________________ Robert Goldstone, Ph.D. ____________________________________ Robert F. Port, Ph.D. ____________________________________ Dirk Van Gucht, Ph.D. Bloomington, Indiana December 1997. iii For Laura and Thaddeus. iv Abstract This dissertation explores the integration of learning and analogy-making through the development of a computer program, called Analogator, that learns to make analogies by example. By “seeing” many different analogy problems, along with possible solutions, Analogator gradually develops an ability to make new analogies. That is, it learns to make analogies by analogy. This approach stands in contrast to most existing research on analogy-making, in which typically the a priori existence of analogical mechanisms within a model is assumed. The present research extends standard connectionist methodologies by developing a specialized associative training procedure for a recurrent network architecture. The network is trained to divide input scenes (or situations) into appropriate figure and v ground components. Seeing one scene in terms of a particular figure and ground provides the context for seeing another in an analogous fashion. After training, the model is able to make new analogies between novel situations. Analogator has much in common with lower-level perceptual models of categorization and recognition; it thus serves as a unifying framework encompassing both high-level analogical learning and low-level perception.
    [Show full text]
  • Models in Science
    Models in Science Reference: Frigg, Roman, Hartmann, Stephan "Models in Science", The Stanford Encyclopedia of Philosophy (Spring 2006 Edition), Edward N. Zalta (ed.). Online at http://plato.stanford.edu/entries/models-science/ Models are of central importance in many scientific contexts. The centrality of models such as the billiard ball model of a gas, the Bohr model of the atom, the MIT bag model of the nucleon, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka-Volterra model of predator-prey interaction, the double helix model of DNA, agent-based and evolutionary models in the social sciences, or general equilibrium models of markets in their respective domains are cases in point. Scientists spend a great deal of time building, testing, comparing and revising models, and much journal space is dedicated to introducing, applying and interpreting these valuable tools. In short, models are one of the principle instruments of modern science. Philosophers are acknowledging the importance of models with increasing attention and are probing the assorted roles that models play in scientific practice. The result has been an incredible proliferation of model-types in the philosophical literature. Probing models, phenomenological models, computational models, developmental models, explanatory models, impoverished models, testing models, idealized models, theoretical models, scale models, heuristic models, caricature models, didactic models, fantasy models, toy models, imaginary models, mathematical models, substitute models, iconic models, formal models, analogue models and instrumental models are but some of the notions that are used to categorize models. While at first glance this abundance is overwhelming, it can quickly be brought under control by recognizing that these notions pertain to different problems that arise in connection with models.
    [Show full text]
  • Exploiting Persistent Mappings in Cross-Domain Analogical Learning of Physical Domains ∗ Matthew Klenk , Ken Forbus
    Artificial Intelligence 195 (2013) 398–417 Contents lists available at SciVerse ScienceDirect Artificial Intelligence www.elsevier.com/locate/artint Exploiting persistent mappings in cross-domain analogical learning of physical domains ∗ Matthew Klenk , Ken Forbus Qualitative Reasoning Group, Northwestern University, 2133 Sheridan Road, Evanston, IL 60208, USA article info abstract Article history: Cross-domain analogies are a powerful method for learning new domains. This paper Received 6 July 2011 extends the Domain Transfer via Analogy (DTA) method with persistent mappings,corres- Received in revised form 9 November 2012 pondences between domains that are incrementally built up as a cognitive system gains Accepted 13 November 2012 experience with a new domain. DTA uses analogies between pairs of textbook example Available online 15 November 2012 problems, or worked solutions, to create a domain mapping between a familiar and a new Keywords: domain. This mapping enables the initialization of a new domain theory. Another analogy Analogical learning is then made between the domain theories themselves, providing additional conjectures Cross-domain analogy about the new domain. After these conjectures are verified, the successful mappings are Cognitive systems stored as persistent mappings to constrain future analogies between the domains. We show Physics problem-solving that DTA plus persistent mappings enables a Companion, the first structure mapping cogni- tive architecture, to learn the equation schemas and control knowledge necessary to solve problems in three domains (rotational mechanics, electricity, and heat) by analogy with lin- ear mechanics. We provide a detailed analysis categorizing transfer failures. As with people, the most difficult step in cross-domain analogy is identifying an appropriate example.
    [Show full text]
  • The University of Chicago Analogical Models of God
    THE UNIVERSITY OF CHICAGO ANALOGICAL MODELS OF GOD: AN ACCOUNT OF RELIGIOUS LANGUAGE A DISSERTATION SUBMITTED TO THE FACULTY OF THE DIVISION OF THE HUMANITIES IN CANDIDACY FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF PHILOSOPHY BY DAWN ESCHENAUER CHOW CHICAGO, ILLINOIS AUGUST 2017 © Dawn Eschenauer Chow 2017 For my mother Table of Contents Acknowledgements ……………………………………………………………………... vii Introduction ……………………………………………………………………...……… 1 Chapter 1: Analogy and Analogical Speech ................................................................. 11 1. What is analogy? ……………………………………………………………………... 12 1.1 Ontological analogy ………………………………………………………… 12 1.2 Similarity, properties, and S-properties ……………………………………... 13 1.3 The relationship between proportional similarities and simple similarities … 28 1.4 Analogical thought ………………………………………………………….. 32 2. What is it to speak analogically? ……………………………………………………... 34 2.1 Type 1 analogical speech: Assertions of analogy …………………………… 35 2.2 Type 2 analogical speech: Propositions asserted analogically ……………… 36 2.3 Irreducibility ………………………………………………………………… 44 3. The shortcomings of the “different but related senses” definition of analogy ……….. 48 3.1 Analogy as polysemy ……………………………………….……….………. 48 3.2 Analogy as polysemy plus an ontological criterion ………………………… 51 3.3 Sameness of sense as indeterminate ………………………………………… 53 3.4 The impossibility of irreducible non-univocity ……………………………... 61 3.5 A continued role for the concept of non-univocity ………………………….. 72 4. Conclusion …………………………………………………………………………….
    [Show full text]