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Categorical models for local names
1996
LISP and Symbolic Computation
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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
2009
Optical Society of America. Journal A: Optics, Image Science, and Vision
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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
2010
Journal of Vision
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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
2009
Optical Society of America. Journal A: Optics, Image Science, and Vision
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; (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
2019
PLoS ONE
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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
2015
Topics in Cognitive Science
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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
2018
Frontiers in Neurorobotics
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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
2011
IEICE transactions on information and systems
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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]
2020
bioRxiv
pre-print
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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
2014
Journal of Experimental Psychology. Learning, Memory and Cognition
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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☆
2006
Information Sciences
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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
2012
Journal of Experimental Psychology. Learning, Memory and Cognition
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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]
1993
Lecture Notes in Computer Science
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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
2018
Zenodo
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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
2020
Figshare
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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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