Popular in Course
verified elite notetaker
Popular in Arts
This 41 page Class Notes was uploaded by Melisa O'Reilly on Saturday September 12, 2015. The Class Notes belongs to Arts 1 at University of California - Irvine taught by Staff in Fall. Since its upload, it has received 25 views. For similar materials see /class/201956/arts-1-university-of-california-irvine in Arts at University of California - Irvine.
Reviews for ARTS CORE
Report this Material
What is Karma?
Karma is the currency of StudySoup.
You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!
Date Created: 09/12/15
i INSTITUTE FOR 0 MATHEMATICAL BEHAVIORAL SCIENCE UC IRVINE 3 Z 2 d 5 Y Evolutionary Models of Color Categorization Based on Discrimination Natalia L Komarova Kimberly A Jameson Louis Narens amp Ragnar Steingrimsson Institute for Mathematical Behavioral Sciences UC Irvine Space of Perceived Colors Space of Perceived Colors How does it become pantitioned and named Calour Opponency And Perceptual Dimensions lightness Coloudulness he Hering Color Model versal Perceptual Features Colourfulness Color categories and BestExemplars are attributable to Hering primaries the six Hering primaries white black red yellow green and blue suggesting that these points in color space may constitute a universal foundation for color naming Kay Regier amp Cook 2005 PNAS 102 Color categories and BestExemplars are attributable to Hering primaries the six Hering primaries white black red yellow green and blue suggesting that these points in color space may constitute a universal foundation for color naming Kay Regier amp Cook 2005 PNAS 102 Recently Kay and colleagues pursue a new direction Regier Kay amp Khetarpal 2007 PNAS 104 Note What remains unknown is the actual degree to which a universal perceptual basis or shared cognitive dimensions are large factors contributing to color categorization similarities reported across cultures The World Color Survey Color Categorization in 110 nonindustrialized societies Table 11 WE Ianuages families and muntries where encountered Index JmU1bLQM i Language Ahld Agarubi hg bu AguaLa39LsEr nlnarahaen i39m l peel l l ngu Ar lgdalil id Apl nay Mahala Elahir lemei Eduai Bari i Bl tl PEI Ii 39 000 Family K39i39i39v TI l H aw Guinea u l riE Sidl l Mayan nrdwakan a l ir39lgdl l U39Lui i iear lguean Arlgan MaireGe Edmurrerr l Seuik HI Eeeh39ir39lk Bag Tl39al39eH Err Guinea iii u Indquot Chi iJLI39Iarl Regier Kay amp Cook 2005 PNAS 102 83868391 Enur iry where EI39rlml39ilE Ed IlaJr Cuest F dpue New Guinea Pi39n li il l 3912 ua39LErimla F39Eru P duua New Guinea Mrme F apua NEW Guinea 43 Peru F39apua Near Guinea II IIJur Ieaia 1iJur39u12ia I I ian idydi I39Irury team indid Panama The World Color Survey stimulus Image Credit Kay P amp Regier T 2003 Resolving the question of color naming universals PNAS 100 90859089 The Munsell Color Solid An approximation of the Space of Perceived Colors Individuals are asked to name each chip in isolation This provides the experimenter with a list of color terms Individuals are asked Where are the bestexamples of yellow green blue red Where are the bestexamples of yellow green blue red at the individual level Where are the bestexamples of yellow green blue red at the group aggregate level 2 Where are the bestexamples of yellow green blue red and across languages you nd Different numbers of Color Terms Wob Ivory Coast 113 n 13A5a799mnul T Regier et al PNAS 104 2007 Different numbers of Color Terms Wob Ivory Coast 113 n P l Culiua PeruBrazil w n u u u 15 w u w w w u u u u m m u m mu m u u M Ma mu m m T Regier et al PNAS 104 2007 Different numbers of Color Terms Wob Ivory Coast 113 0 2 l Culina PeruBrazil m n n u Ia lmonm a u Iduua Papua New Guinea 115 z InnuIII5 IHthn2232321752611lsnw113233343 wzum gxammanmgt T Regier et al PNAS 104 2007 Different numbers of Color Terms Wob Ivory Coast 113 5 HI 2 Culina PeruBrazil a H a c J a E Lh Iduua Papua New Guinea 115 n 1 A s 7 a u InnnuuIs1 xIIwnzI22327526212anw113233u351517 95um a n D E F a Buglere Panama 7 a A a n a E r o H w J T Regier et al PNAS 104 2007 The Mainstream View 0 Different language groups use different numbers of color terms 39 But bestexample choices for color terms in different languages cluster near the prototypes for English white black red green yellow and blue Kay Regier amp Cook 2005 PNAS 102 English naming and choices ofbest exemplar focal points for each color category Figure from Roberson D Davies 1 amp Davidoff J 2000 1 Exp Psych Genl 129 3697398 55 m 585 um c onces of best exemplar focal points avies I amp Davidoff J 2000 J Exp Psych Gen 129 3697398 Roberson 2005 Cog amp Culture 0 There are culturally relative pragmatic reasons Why No and War are named partitions in Berinmo for Berinmo speakers tulip leaves a favorite vegetable are bright green when freshly picked and good to eat but quickly yellow if kept Agreement over the color term boundary coincides with agreement over when they are no longer good to eat and is highly salient in a community that talks little about color Human Empirical Results Summary The mainstream view suggest that Widely salient focal colors for the Hering primaries are the most likely universal foundation for color naming and serve to explain a good deal of the crosscultural similarities in color naming 0 When variation is recognized there is acknowledgement that the Hering model does not help explain the Wide range of differences seen in the categorization data Human Empirical Results Summary And there is general awareness that other contributing factors exist that are linguistic environmental cultural and so on But so far these have been dif cult to empirically measure and model 0 And most recently Kay and colleagues pursue a new direction Regier Kay amp Khetarpal 2007 Color naming re ects optimal partitions of color space PNAS 104 They argue for the information processing approach of Jameson amp D Andrade 1997 andJameson 2005 which suggests that color categorization re ects roughly optimal divisions of the irregular perceptual color space Recent Color Category Simulations Steels L amp Belpaeme T 2005 Coordinating Perceptually Grounded Categories A Case Study for Colour Behavioral and Brain Sciences 28 469529 Explored the potential for arti cal agent communication with humans They conclude the collective choice of a shared repertoire must integrate multiple constraints including constraints coming from communication We Emphasize Simulated Naming Human Naming We Emphasize Simulated Naming Human Naming The Suggestion is that While simulated color naming does not tell us how humans categorize and name it may actually help clarify many of the human issues just listed and give further insight into some largely uninvestigated factors thought to play a role in human color categorization amp naming behaviors Today we Present Results on Four Issues elevant to the Empirical Literature 1 Individual color category learning What features are needed for a simulated individual or Agent to learn a color category system 1 Individual color category learning What features are needed for a simulated individual or Agent to learn a color category system a standard observer color model memory for observed colors coo 2 Population color category learning What does it take for a society of Agents to evolve and share a color category system 2 Population color category learning What does it take for a society of Agents to evolve and share a color category system do all the Agents need to have the same identical individual model do they need exposure to one another s categorization systems etc 3 Color category learning in Homogeneous versus Heterogeneous Populations How does variation at the level of individual Agents in uence a shared system Jameson 2005 Cog 539 Culture 5 Jameson 2005 Bell 5393761172 Sci 28 3 Color category learning in Homogeneous versus Heterogeneous Populations How does variation at the level of individual Agents in uence a shared system does it make a difference in the development or robustness of the shared color categorization solution E g Agent Heterogeneity resembling Normal Color Perception Variation Agent Heterogeneity resembling Normal Color Perception Variation Normal Red weak
Are you sure you want to buy this material for
You're already Subscribed!
Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'