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Categorical models for local names

Ian Stark
1996 LISP and Symbolic Computation  
This paper describes the construction of categorical models for the nu-calculus, a language that combines higher-order functions with dynamically created names.  ...  Categorical monads, in the style of Moggi, are used to build denotational models for the nu-calculus.  ...  Acknowledgements Andy Pitts and Eugenio Moggi gave much advice on the methods used here, and Bob Tennent explained how they relate to his models of Algol-like languages.  ... 
doi:10.1007/bf01806033 fatcat:b533jfhqpjhyle3ckxjcvnqleq

Evolutionary models of color categorization I Population categorization systems based on normal and dichromat observers

Kimberly A. Jameson, Natalia L. Komarova
2009 Optical Society of America. Journal A: Optics, Image Science, and Vision  
The evolution of color categorization is investigated using artificial agent population categorization games, by modeling observer types using Farnsworth-Munsell 100 Hue Test performance to capture human  ...  In particular, it is found that dichromats' local confusion regions tend to repel color category boundaries and that global confusion pairs attract category boundaries.  ...  ACKNOWLEDGMENTS The authors thank Louis Narens and Ragnar Steingrimsson for helpful suggestions.  ... 
doi:10.1364/josaa.26.001414 pmid:19488181 fatcat:7l7kuwtiq5gfpf2xsi23bsusm4

Evolutionary models of color categorization based on Realistic observer models and Population heterogeneity

K. A. Jameson, N. L. Komarova
2010 Journal of Vision  
Consequences for evolved categorization solutions include that confusion patterns of a small fraction of color deficient agents break symmetries in population categorization solutions, and confine category  ...  variation across different forms of deficient agents systematically impacts category size and number; with stimulus pairs from dichromat global confusion axes tend to attract color boundaries, whereas local  ...  The authors thank Louis Naren and Ragnar Steingrimsson for helpful suggestions, and David Bimler for providing the Bimler, Jacobs & Kirkland [23] data.  ... 
doi:10.1167/10.15.26 fatcat:2q4cengaafgzrim6qh6meq55te

Evolutionary models of color categorization II Realistic observer models and population heterogeneity

Kimberly A. Jameson, Natalia L. Komarova
2009 Optical Society of America. Journal A: Optics, Image Science, and Vision  
; (ii) for realistically modeled populations, dichromats have the strongest influence on the color categorization; their characteristic forms of color confusion affect (i.e., attract or repel) color boundary  ...  Results show that (i) a small percentage of realistically modeled deficient agents greatly affects the shared categorization solutions of the entire population in terms of color category boundary locations  ...  ACKNOWLEDGMENTS The authors thank Louis Narens and Ragnar Steingrimsson for helpful suggestions, and David Bimler for providing data from [31] .  ... 
doi:10.1364/josaa.26.001424 pmid:19488182 fatcat:72lasevcxvf2hmh2n55cykouw4

Categorical colour geometry

Lewis D. Griffin, Dimitris Mylonas, Panos Athanasopoulos
2019 PLoS ONE  
Data on the colour categories of English speakers was collected using online crowd sourcing - 1,000 subjects produced 20,000 unconstrained names for 600 colour stimuli.  ...  In this categorical metric the distance between two close colours is determined by the difference in the distribution of names that the subject population applied to them.  ...  In 5 we use the dataset to constrain a continuous model of naming across colour space. In 6 we compute the categorical metric from that model.  ... 
doi:10.1371/journal.pone.0216296 pmid:31075109 pmcid:PMC6510433 fatcat:qwjgk66fcnfvzohlueo53mltvq

Foraging in Semantic Fields: How We Search Through Memory

Thomas T. Hills, Peter M. Todd, Michael N. Jones
2015 Topics in Cognitive Science  
Thus, our results support a search process that does not use categorical information, but for which patch boundaries shift with each recall and local search is well described by a random walk in semantic  ...  When searching for concepts in memory-as in the verbal fluency task of naming all the animals one can think of-people appear to explore internal mental representations in much the same way that animals  ...  To test this, we fit models that added an additional local cue to the previous categorical and associative model versions, namely the item I tÀ2 , produced just before I tÀ1 (as long as it was also in  ... 
doi:10.1111/tops.12151 pmid:26097107 fatcat:dh2aq2wy6vcp5gaprq3i64jfiu

Hierarchical Spatial Concept Formation Based on Multimodal Information for Human Support Robots

Yoshinobu Hagiwara, Masakazu Inoue, Hiroyoshi Kobayashi, Tadahiro Taniguchi
2018 Frontiers in Neurorobotics  
Object recognition results using convolutional neural network (CNN), hierarchical k-means clustering result of self-position estimated by Monte Carlo localization (MCL), and a set of location names are  ...  In this paper, we propose a hierarchical spatial concept formation method based on the Bayesian generative model with multimodal information e.g., vision, position and word information.  ...  Tomoaki Nakamura for sharing their source code with us.  ... 
doi:10.3389/fnbot.2018.00011 pmid:29593521 pmcid:PMC5859180 fatcat:cu2rdmuarngodcdzncrhklnywq

Scene Categorization with Classified Codebook Model

Xu YANG, De XU, Songhe FENG, Yingjun TANG, Shuoyan LIU
2011 IEICE transactions on information and systems  
This paper presents an efficient yet powerful codebook model, named classified codebook model, to categorize natural scene category.  ...  The significant feature in our model is that it is beneficial for scene categorization, especially at small codebook size, while saving much computation complexity for quantization.  ...  Particularly, for the model of BCM, vector quantization maps each local feature x to one visual word by nearest neighbor matching, namely, VQ(x, V) = v j ⇔ dist(x, v j ) < dist(x, v i ) ( 1 ) where i ∈  ... 
doi:10.1587/transinf.e94.d.1349 fatcat:inbvlwni35bwbcsxy7p346ajmu

Color naming and categorization depend on distinct functional brain networks [article]

Katarzyna Siuda-Krzywicka, Christoph Witzel, Paolo Bartolomeo, Laurent Cohen
2020 bioRxiv   pre-print
Naming a color can be understood as an act of categorization, i.e. identifying it as a member of a category of colors that are referred to by the same name.  ...  But are naming and categorization equivalent cognitive processes, and consequently rely on the same neural substrates?  ...  We defined separate models for naming and categorization RTs.  ... 
doi:10.1101/2020.04.13.038836 fatcat:ndk5pgtrbvcihftsizxginqw2m

The perceptual effects of learning object categories that predict perceptual goals

Ana E. Van Gulick, Isabel Gauthier
2014 Journal of Experimental Psychology. Learning, Memory and Cognition  
naming or a local feature judgment, for each of the two categories.  ...  After task association, sensitivity increased more for the category that was named, especially along the non-diagnostic dimension.  ...  We thank Magen Speegle, Lisa Weinberg, and Jackie Floyd for help with data collection and Jonathan Folstein, Tom Palmeri, and Jenn Richler for their comments.  ... 
doi:10.1037/a0036822 pmid:24820671 pmcid:PMC4143460 fatcat:lqcumset4nfo3ifsh4cv5opvdi

An agent-based approach for predictions based on multi-dimensional complex data☆

T MA, Y NAKAMORI, W HUANG
2006 Information Sciences  
This paper presents an agent-based approach to the identification of prediction models for continuous values from multi-dimensional data, both numerical and categorical.  ...  At the micro-level, each agent tries to build a local linear model with multi-linear regression by competing with others; then at the macro-level all surviving agents build the global model by introducing  ...  The "vendor name" attribute was treated as categorical data, with the others as numerical data. We used Root-Mean-Square Error (RM SE) to evaluate the performance of the prediction models.  ... 
doi:10.1016/j.ins.2005.07.011 fatcat:65qkmrvrdrcp7bravzzyoz2tuu

Dynamic search and working memory in social recall

Thomas T. Hills, Thorsten Pachur
2012 Journal of Experimental Psychology. Learning, Memory and Cognition  
On the basis of these data, we tested various computational models of memory search regarding their ability to account for the patterns in which participants recalled from social memory.  ...  Do the search mechanisms involve dynamic local-to-global transitions similar to semantic search, and are these transitions governed by the general control of attention, associated with working memory span  ...  Models Incorporating Different Global and Local Representations, and Different Switching Criteria (Associative or Categorical)Note.  ... 
doi:10.1037/a0025161 pmid:21859235 fatcat:ng2v5gmrrbhtzh676t7qa2sgue

Observable properties of higher order functions that dynamically create local names, or: What's new? [chapter]

Andrew M. Pitts, Ian D. B. Stark
1993 Lecture Notes in Computer Science  
local names.  ...  Names are created with local scope, can be tested for equality and can be passed around via function application, but that is all.  ...  Acknowledgements We are grateful to Eugenio Moggi, Peter O'Hearn, Allen Stoughton and Robert Tennent for making their unpublished work available to us.  ... 
doi:10.1007/3-540-57182-5_8 fatcat:2lp6rpktjbdwdnkswxi3lybiiy

Place And Placing Locations: A Cognitive Perspective

Clare Davies
2018 Zenodo  
and "ground truthed" by human-participants work for useful progress to be made.  ...  Understanding and modelling places is an interdisciplinary problem, and one relevant but easily overlooked discipline is cognitive science.  ...  Acknowledgements Warm thanks go to the PLATIAL'18 organizers for inviting this contribution. ORCID Clare Davies https://orcid.org/0000-0003-0261-2353  ... 
doi:10.5281/zenodo.1472736 fatcat:wdlv7veebbdjhimrmnbcspcpze

appendices – Supplemental material for Intergroup contact fosters more inclusive social identities

Nils Karl Reimer, Shanmukh Vasant Kamble, Katharina Schmid, Miles Hewstone
2020 Figshare  
Supplemental material, appendices for Intergroup contact fosters more inclusive social identities by Nils Karl Reimer, Shanmukh Vasant Kamble, Katharina Schmid and Miles Hewstone in Group Processes & Intergroup  ...  Appendix D: Pilot Study Informed by local knowledge, we intended to rely on last names to unobtrusively communicate caste membership in the triple crossed-categorization task.  ...  To find the most prototypical stimuli, we compiled an initial set of 50 surnames, drawing on local knowledge, databases on naming preferences, and publicly available archives of Facebook usernames.  ... 
doi:10.25384/sage.13139153.v1 fatcat:sdgynwidsjhddoxe2hjwydamoe
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