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Journal articles on the topic 'Cognitive maps'

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1

Pedrycz, Witold, and Wladyslaw Homenda. "From Fuzzy Cognitive Maps to Granular Cognitive Maps." IEEE Transactions on Fuzzy Systems 22, no. 4 (August 2014): 859–69. http://dx.doi.org/10.1109/tfuzz.2013.2277730.

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2

Kosko, Bart. "Fuzzy cognitive maps." International Journal of Man-Machine Studies 24, no. 1 (January 1986): 65–75. http://dx.doi.org/10.1016/s0020-7373(86)80040-2.

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3

Kang, Bingyi, Yong Deng, Rehan Sadiq, and Sankaran Mahadevan. "Evidential cognitive maps." Knowledge-Based Systems 35 (November 2012): 77–86. http://dx.doi.org/10.1016/j.knosys.2012.04.007.

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4

Voicu, Horatiu. "Hierarchical cognitive maps." Neural Networks 16, no. 5-6 (June 2003): 569–76. http://dx.doi.org/10.1016/s0893-6080(03)00095-9.

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5

Chrastil, Elizabeth R., and William H. Warren. "From Cognitive Maps to Cognitive Graphs." PLoS ONE 9, no. 11 (November 12, 2014): e112544. http://dx.doi.org/10.1371/journal.pone.0112544.

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6

Kang, Bingyi, Hongming Mo, Rehan Sadiq, and Yong Deng. "Generalized fuzzy cognitive maps: a new extension of fuzzy cognitive maps." International Journal of System Assurance Engineering and Management 7, no. 2 (March 22, 2016): 156–66. http://dx.doi.org/10.1007/s13198-016-0444-0.

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7

Obata, Takanobu, and Masafumi Hagiwara. "Neural Cognitive Maps (NCMs)." IEEJ Transactions on Electronics, Information and Systems 118, no. 6 (1998): 882–88. http://dx.doi.org/10.1541/ieejeiss1987.118.6_882.

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8

Wu, Kai, Jing Liu, and Yaxiong Chi. "Wavelet fuzzy cognitive maps." Neurocomputing 232 (April 2017): 94–103. http://dx.doi.org/10.1016/j.neucom.2016.10.071.

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9

Brysch, Karl A., and John Dickinson. "Studies in Cognitive Maps." Environment and Behavior 28, no. 2 (March 1996): 183–203. http://dx.doi.org/10.1177/0013916596282002.

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10

O'Keefe, John. "Cognitive maps in infants?" Nature 370, no. 6484 (July 1994): 19–20. http://dx.doi.org/10.1038/370019a0.

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11

Hagiwara, Masafumi. "Extended Fuzzy Cognitive Maps." IEEJ Transactions on Electronics, Information and Systems 114, no. 3 (1994): 367–72. http://dx.doi.org/10.1541/ieejeiss1987.114.3_367.

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12

Yuan Miao, ChunYan Miao, XueHong Tao, ZhiQi Shen, and ZhiQiang Liu. "Transformation of Cognitive Maps." IEEE Transactions on Fuzzy Systems 18, no. 1 (February 2010): 114–24. http://dx.doi.org/10.1109/tfuzz.2009.2037218.

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13

Papageorgiou, Elpiniki I., and Dimitris K. Iakovidis. "Intuitionistic Fuzzy Cognitive Maps." IEEE Transactions on Fuzzy Systems 21, no. 2 (April 2013): 342–54. http://dx.doi.org/10.1109/tfuzz.2012.2214224.

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14

Lloyd, Robert. "Self-Organized Cognitive Maps." Professional Geographer 52, no. 3 (August 2000): 517–31. http://dx.doi.org/10.1111/0033-0124.00243.

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15

Wellman, Michael P. "Inference in cognitive maps." Mathematics and Computers in Simulation 36, no. 2 (June 1994): 137–48. http://dx.doi.org/10.1016/0378-4754(94)90028-0.

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16

Portugali, Juval, and Hermann Haken. "Synergetics and cognitive maps." Geoforum 23, no. 2 (May 1992): 111–30. http://dx.doi.org/10.1016/0016-7185(92)90010-2.

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17

Tversky, Barbara. "Distortions in cognitive maps." Geoforum 23, no. 2 (May 1992): 131–38. http://dx.doi.org/10.1016/0016-7185(92)90011-r.

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18

Vlachý, Jan. "Cognitive maps of physics." Czechoslovak Journal of Physics 36, no. 1 (January 1986): 190–94. http://dx.doi.org/10.1007/bf01599759.

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19

Posner, Michael I. "Exploiting Cognitive Brain Maps." Brain and Cognition 42, no. 1 (February 2000): 64–67. http://dx.doi.org/10.1006/brcg.1999.1163.

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20

Sujatha, R., and G. Kuppuswami. "Fuzzy cognitive maps and induced fuzzy cognitive maps approach to traffic flow." Journal of Physics: Conference Series 1377 (November 2019): 012012. http://dx.doi.org/10.1088/1742-6596/1377/1/012012.

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21

Carbon, Claus-Christian, and Vera Hesslinger. "Attitudes and cognitive distances: On the non-unitary and flexible nature of cognitive maps." Advances in Cognitive Psychology 9, no. 3 (September 30, 2013): 121–29. http://dx.doi.org/10.5709/acp-0140-y.

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22

Peer, Michael, Iva K. Brunec, Nora S. Newcombe, and Russell A. Epstein. "Structuring Knowledge with Cognitive Maps and Cognitive Graphs." Trends in Cognitive Sciences 25, no. 1 (January 2021): 37–54. http://dx.doi.org/10.1016/j.tics.2020.10.004.

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23

Tsadiras, Athanasios K., and Konstantinos G. Margaritis. "Cognitive mapping and certainty neuron fuzzy cognitive maps." Information Sciences 101, no. 1-2 (September 1997): 109–30. http://dx.doi.org/10.1016/s0020-0255(97)00001-7.

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24

Baggio, Giovanni, Riccardo Bassoli, and Fabrizio Granelli. "Cognitive Software-Defined Networking Using Fuzzy Cognitive Maps." IEEE Transactions on Cognitive Communications and Networking 5, no. 3 (September 2019): 517–39. http://dx.doi.org/10.1109/tccn.2019.2920593.

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25

Radchenko, Ludmila K. "COGNITIVE ASPECT IN CARTOGRAPHY." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 25, no. 4 (2020): 138–45. http://dx.doi.org/10.33764/2411-1759-2020-25-4-138-145.

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The article analyzes the cognitive aspect in cartography, which is present when we talk about theoretical concepts of cartography development, functions of cartographic works, map language, etc. Judgments are made about the «cognitive ability» of two levels – primary (non-professional) and secondary (professional), cognitive activity and cognition (rational and sensory). As a result of the discussion of map functions, and in particular the cognitive function, the classification of maps by a new feature is proposed – by the predominant function. On the example of already published and published maps of cognitive orientation, the features of such maps are formed. Practical examples of cognitive maps that can form the basis for creating a cognitive cartographic model of the region are given. The research presented in the article is based on the methods of classical cartography, philosophical concepts: cognition and cognitive activity, and practical cartographic research, and also corresponds to a number of tasks formed in the State program «Scientific and technological development of the Russian Federation» for 2019-2030, which indicates the relevance of the research topic.
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26

Langfield-Smith, Kim, and Andrew Wirth. "Measuring Differences between Cognitive Maps." Journal of the Operational Research Society 43, no. 12 (December 1992): 1135. http://dx.doi.org/10.2307/2584270.

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27

KANDASAMY, W. B. VASANTHA, and K. ILANTHENRAL. "MOD n-Cognitive Maps Model." Journal of Ultra Scientist of Physical Sciences Section B 29, no. 2 (February 2, 2017): 29–34. http://dx.doi.org/10.22147/jusps-b/290203.

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28

McNamara, Timothy P., Amy L. Shelton, and Amy L. Shelton. "Cognitive maps and the hippocampus." Trends in Cognitive Sciences 7, no. 8 (August 2003): 333–35. http://dx.doi.org/10.1016/s1364-6613(03)00167-0.

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29

Aragones, J. I., and J. M. Arredondo. "Structure of urban cognitive maps." Journal of Environmental Psychology 5, no. 2 (June 1985): 197–212. http://dx.doi.org/10.1016/s0272-4944(85)80017-7.

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30

Gärling, Tommy, Erik Lindberg, Manuel Carreiras, and Böök Anders. "Reference systems in cognitive maps." Journal of Environmental Psychology 6, no. 1 (March 1986): 1–18. http://dx.doi.org/10.1016/s0272-4944(86)80031-7.

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31

Langfield-Smith, Kim, and Andrew Wirth. "Measuring Differences Between Cognitive Maps." Journal of the Operational Research Society 43, no. 12 (December 1992): 1135–50. http://dx.doi.org/10.1057/jors.1992.180.

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32

Marchant, Thierry. "Cognitive maps and fuzzy implications." European Journal of Operational Research 114, no. 3 (May 1999): 626–37. http://dx.doi.org/10.1016/s0377-2217(98)00133-7.

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33

García‐Mira, Ricardo, and J. Eulogio Real. "Environmental perception and cognitive maps." International Journal of Psychology 40, no. 1 (February 2005): 1–2. http://dx.doi.org/10.1080/00207590444000069.

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34

Fenton, M. Brock. "Bats navigate with cognitive maps." Science 369, no. 6500 (July 9, 2020): 142. http://dx.doi.org/10.1126/science.abd1213.

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35

Palermo, Liana, Giulia Ranieri, Federico Nemmi, and Cecilia Guariglia. "Cognitive maps in imagery neglect." Neuropsychologia 50, no. 5 (April 2012): 904–12. http://dx.doi.org/10.1016/j.neuropsychologia.2012.01.030.

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36

Furnari, Santi. "Business Models as Cognitive Maps." Academy of Management Proceedings 2015, no. 1 (January 2015): 13716. http://dx.doi.org/10.5465/ambpp.2015.13716abstract.

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37

Wehner, R., and R. Menzel. "Do Insects Have Cognitive Maps?" Annual Review of Neuroscience 13, no. 1 (March 1990): 403–14. http://dx.doi.org/10.1146/annurev.ne.13.030190.002155.

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38

Sholl, M. Jeanne. "Cognitive maps as orienting schemata." Journal of Experimental Psychology: Learning, Memory, and Cognition 13, no. 4 (1987): 615–28. http://dx.doi.org/10.1037/0278-7393.13.4.615.

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39

Falcon, Rafael, Gonzalo Nápoles, Rafael Bello, and Koen Vanhoof. "Granular cognitive maps: a review." Granular Computing 4, no. 3 (June 11, 2018): 451–67. http://dx.doi.org/10.1007/s41066-018-0104-7.

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40

Redish, A. David, and David S. Touretzky. "Cognitive maps beyond the hippocampus." Hippocampus 7, no. 1 (1997): 15–35. http://dx.doi.org/10.1002/(sici)1098-1063(1997)7:1<15::aid-hipo3>3.0.co;2-6.

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41

Bennett, A. T. "Do animals have cognitive maps?" Journal of Experimental Biology 199, no. 1 (January 1, 1996): 219–24. http://dx.doi.org/10.1242/jeb.199.1.219.

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Drawing on studies of humans, rodents, birds and arthropods, I show that 'cognitive maps' have been used to describe a wide variety of spatial concepts. There are, however, two main definitions. One, sensu Tolman, O'Keefe and Nadel, is that a cognitive map is a powerful memory of landmarks which allows novel short-cutting to occur. The other, sensu Gallistel, is that a cognitive map is any representation of space held by an animal. Other definitions with quite different meanings are also summarised. I argue that no animal has been conclusively shown to have a cognitive map, sensu Tolman, O'Keefe and Nadel, because simpler explanations of the crucial novel short-cutting results are invariably possible. Owing to the repeated inability of experimenters to eliminate these simpler explanations over at least 15 years, and the confusion caused by the numerous contradictory definitions of a cognitive map, I argue that the cognitive map is no longer a useful hypothesis for elucidating the spatial behaviour of animals and that use of the term should be avoided.
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42

Mohsenin, Mahsan, and Andres Sevtsuk. "THE IMPACT OF STREET PROPERTIES ON COGNITIVE MAPS." JOURNAL OF ARCHITECTURE AND URBANISM 37, no. 4 (December 24, 2013): 301–9. http://dx.doi.org/10.3846/20297955.2013.866864.

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This paper investigates the relationship between street properties and cognitive maps. It is focused on the question of how human cognition of the built environment is affected by street properties. Building on the foundations of Kevin Lynch's studies of environmental perception (Lynch 1960) and recent configuration measurement techniques of the built environment, it addresses an important question that Lynch has left unresolved: Why do people have more complete recollections of some parts of the urban environment, and not others? This paper proposes an analytical measurement framework based on graph theory to compare the results of cognitive maps with objective spatial properties of the corresponding built environment. In order to test our hypothesis, street geometry is measured and defined based on graph theory in two selected areas with similar geometries in Kenmore, Boston and Kendall Sq., Cambridge, MA. Cognitive maps are then collected based on specifically designed map drawing surveys. Finally, the relationship between graph results and cognitive maps is examined in order to identify the ways that street properties affect human perception.
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43

Hirtle, Stephen C., and John Jonides. "Evidence of hierarchies in cognitive maps." Memory & Cognition 13, no. 3 (May 1985): 208–17. http://dx.doi.org/10.3758/bf03197683.

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44

Podvesovskii, A. G., and R. A. Isaev. "Visualization Metaphors for Fuzzy Cognitive Maps." Scientific Visualization 10, no. 4 (October 25, 2018): 13–29. http://dx.doi.org/10.26583/sv.10.4.02.

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45

ASAMURA, Akihiko. "THE TRANSFORMATION OF CHILDREN'S COGNITIVE MAPS." Japanese Journal of Educational Psychology 44, no. 2 (1996): 204–13. http://dx.doi.org/10.5926/jjep1953.44.2_204.

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46

Kreinovich, Vladik, and Chrysostomos D. Stylios. "Why Fuzzy Cognitive Maps Are Efficient." International Journal of Computers Communications & Control 10, no. 6 (October 3, 2015): 65. http://dx.doi.org/10.15837/ijccc.2015.6.2073.

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In many practical situations, the relation between the experts’ degrees of confidence in different related statements is well described by Fuzzy Cognitive Maps (FCM). This empirical success is somewhat puzzling, since from the mathematical viewpoint, each FCM relation corresponds to a simplified one-neuron neural network, and it is well known that to adequately describe relations, we need multiple neurons. In this paper, we show that the empirical success of FCM can be explained if we take into account that human’s subjective opinions follow Miller’s seven plus minus two law.
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47

Kubota, Hisashi, Atsushi Kato, and Yoichi Kubota. "Drivers' Cognitive Maps and their Behavior." INFRASTRUCTURE PLANNING REVIEW 9 (1991): 61–68. http://dx.doi.org/10.2208/journalip.9.61.

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48

Garling, Tommy, Anders Böök, Erik Lindberg, and Constantino Arce. "Is elevation encoded in cognitive maps?" Journal of Environmental Psychology 10, no. 4 (December 1990): 341–51. http://dx.doi.org/10.1016/s0272-4944(05)80033-7.

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49

Barlow, H. B. "Efficiency, versatility, cognitive maps, and language." Behavioral and Brain Sciences 10, no. 04 (December 1987): 657. http://dx.doi.org/10.1017/s0140525x0005500x.

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50

Chown, Eric, Lashon B. Booker, and Stephen Kaplan. "Perception, action planning, and cognitive maps." Behavioral and Brain Sciences 24, no. 5 (October 2001): 882. http://dx.doi.org/10.1017/s0140525x01240102.

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Perceptual learning mechanisms derived from Hebb's theory of cell assemblies can generate prototypic representations capable of extending the representational power of TEC (Theory of Event Coding) event codes. The extended capability includes categorization that accommodates “family resemblances” and problem solving that uses cognitive maps.
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