Relevant bibliographies by topics / Cognitive mapping

Academic literature on the topic 'Cognitive mapping'

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Published: 4 June 2021
Last updated: 14 March 2023

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Journal articles on the topic "Cognitive mapping"

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Eden, Colin. "Cognitive mapping." European Journal of Operational Research 36, no. 1 (July 1988): 1–13. http://dx.doi.org/10.1016/0377-2217(88)90002-1.

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İşcen, Özgün Eylül. "Revisiting Cognitive Mapping." A Peer-Reviewed Journal About 9, no. 1 (August 4, 2020): 28–40. http://dx.doi.org/10.7146/aprja.v9i1.121487.

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The increasingly complex, algorithmically mediated operations of global capital have only deepened the gap between the social order as a whole and its lived experience. Yet, Fredric Jameson’s notion of cognitive mapping, attentive to the conflicting tendencies of capitalist operations, is still helpful for addressing the local instantiations of capital’s expanding frontiers of extraction. I am interested in tracing the historicity of those operations as well as the totality they are actively part of in the present from the vantage point of the Middle East, especially along with the entangled trajectories of oil, finance, and militarism. To this end, I examine countervisual practices in the realm of media arts that contest the aesthetic regime through which the state-capital nexus attempts to legitimize its imperial logic and violence. My reconfiguration of cognitive mapping as countervisuality in Nicholas Mirzoeff’s terms demonstrates that there is no privileged position or method of cognitive mapping, which ultimately corresponds to an active negotiation of urban space across the Global North/ South divide.
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Stufflebeam, Steven M., and Bruce R. Rosen. "Mapping Cognitive Function." Neuroimaging Clinics of North America 17, no. 4 (November 2007): 469–84. http://dx.doi.org/10.1016/j.nic.2007.07.005.

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Kibrik, Andrej A. "Rethinking agreement: Cognition-to-form mapping." Cognitive Linguistics 30, no. 1 (February 25, 2019): 37–83. http://dx.doi.org/10.1515/cog-2017-0035.

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AbstractThe prevailing assumption is that anResearch underlying this study was conducted with support of the Russian Foundation for Basic Research grant #17-06-00460.agreement feature originates in one linguistic element, that is a controller, and is copied onto another one, a target. This form-to-form approach encounters massive difficulties when confronted with data, such as missing controllers or feature mismatches. A cognition-to-form mapping approach is proposed instead, suggesting that agreement features, such as person, number, and gender, are associated with referents in the cognitive representation. They serve to specify referents on either notional or conventional grounds, and are thus referential features. Referential features are mapped onto various sites in linguistic structure, including inflections. Parallel agreement between various sites is observed, as a side effect of mappings from the same cognitive source. Languages differ in which and how many sites for marking referential features they require. Analysis of Russian evidence suggests that the cognition-to-form mapping approach has a much greater explanatory force than the traditional form-to-form approach. There are only peripheral classes of instances in which form-to-form agreement may be needed as a supplementary factor. In general, the roots of agreement lie in cognitively motivated discourse processes associated with reference.
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Ruiz de Mendoza Ibáñez, Francisco José. "Mapping concepts." Revista Española de Lingüística Aplicada/Spanish Journal of Applied Linguistics 27, no. 1 (August 8, 2014): 187–207. http://dx.doi.org/10.1075/resla.27.1.08rui.

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The notion of “conceptual mapping”, as a set of correspondences between conceptual domains, was popularized in Cognitive Semantics, following seminal work by Lakoff & Johnson (1980), as a way of accounting for the basic cognitive activity underlying metaphor and metonymy. Strangely enough, Cognitive Semantics has paid little, if any, attention to other cases of so-called figurative language such as hyperbole, irony, paradox, and oxymoron. This paper contends that it is possible to account for these and other figures of thought in terms of the notion of conceptual mapping. It argues that the differences between these and other figurative uses of language are a matter of the nature of the domains involved in mappings and how they are made to correspond. Additionally, this paper examines constraints on mappings and concludes that the same factors that constrain metaphor and metonymy are operational in the case of mappings for the other figures of thought under discussion.
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Gonzálvez-García, Francisco, and Christopher S. Butler. "Mapping functional-cognitive space." Annual Review of Cognitive Linguistics 4 (October 25, 2006): 39–96. http://dx.doi.org/10.1075/arcl.4.04gon.

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The aim of this paper is to describe in some detail the topography of the space occupied by functional and cognitive models. We describe the salient characteristics of functionalist, cognitivist and/or constructionist models against the general background of usage-based models, and also include in our discussion the parallel architecture framework of Jackendoff (1997, 2002a, 2002b), recently further refined as the Simpler Syntax hypothesis (Culicover & Jackendoff, 2005). A list of 36 features for the comparison of models is drawn up, and each of 11 approaches is discussed in the light of these features. Our conclusion is that although the study provides some evidence for the view that functionalist and cognitive and/or constructionist models occupy two partially distinct areas of functional/cognitive space, there is nevertheless a large group of features which are shared across all the types of model we have examined. Other groups of features allow us to distinguish between two major groups of models, one largely functionalist in its orientation, the other cognitivist and/or constructionist, the remaining models showing affinities with one or other of the two main groups, according to the feature concerned.
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Ojemann, George. "Cognitive mapping through electrophysiology." Epilepsia 51 (February 2010): 72–75. http://dx.doi.org/10.1111/j.1528-1167.2009.02453.x.

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Gayathridevi, S., T. Johnson, and C. Vijayalakshmi. "A Study of Chennai - Water Scarcity Using Fuzzy Cognitive Mapping." Journal of Advanced Research in Dynamical and Control Systems 12, no. 04-SPECIAL ISSUE (March 31, 2020): 1913–21. http://dx.doi.org/10.5373/jardcs/v12sp4/20201680.

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Garoui, Nassreddine, Raida Chakroun, and Ezzeddine Ben Mohamed. "Mapping environmental pollution disclosures in Tunisia." Environmental Economics 8, no. 2 (July 5, 2017): 67–75. http://dx.doi.org/10.21511/ee.08(2).2017.07.

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The aim of this paper is to examine the mental models of actors in Tunisian firms with respect to the environmental pollution. The authors use a cognitive map to observe these mental diagrams and to visualize ways to conceptualize the environmental pollution and to understand this concept through the presentation and analysis of the cognitive maps of Tunisian firm’s actors. Each actor’s systematic exploration grid shows a balance of concepts that expresses their cognitive orientation. Thus, the authors visualize the concepts (variables) that structure the cognitive universe of the actors, which is projected in terms of influences and dependencies. This research provides some lines of thought about environmental and pollution reporting that should be explored further. The research can only help to launch a debate on corporate accountability and transparency.
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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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Dissertations / Theses on the topic "Cognitive mapping"

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Woolley, Robin. "Managing innovation through cognitive mapping." Thesis, De Montfort University, 2005. http://hdl.handle.net/2086/10753.

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Innovation is an important element of strategic management (2003), and most product innovations involve cross-functional teams (Cooper and Kleinschmidt, 1994) who have some difficulty in developing a shared understanding of a particular innovation problem, which can often be characterised as a complex ill-structured problem (described as a task). This study uses an action research approach (Eden and Huxham, 1996) to explore how to develop a shared vocabulary and understanding of a task and then how to direct its growth and development. From a review of relevant literature, five dominant influencing factors emerged that impact on a team's capability to manage the task. These dominant influencing factors are the teams: shared cognition, creative processes, task relevant knowledge development, team role development and task tracking. These were used as the building blocks in an architectural innovation. The researchers experience in innovation projects in industry and with MBA students on smaller project re-enforced this literature review. An iterative action research process involving 160 interviews was then used to develop a new framework that positively impacted on these five dominant influencing factors in seven organisations. The seven companies selected were all at the early stage of exploring an ill-structured innovative opportunity, which formed the basis of the tasks for the various teams. These varied in their nature but all required architectural knowledge development in cross functional teams ranging from four to seven people. The framework uses as its building blocks existing established models and approaches from different disciplines.
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Turner, Phil. "The cognitive mapping of virtual space." Thesis, Durham University, 1996. http://etheses.dur.ac.uk/5098/.

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Kasturirangan, Rajesh 1971. "Mapping spatial relations." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28313.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2004.
Includes bibliographical references (p. 155-160).
One of the fundamental issues in cognitive science is the problem of grounding concepts in the perceptual world. In this thesis, I present a computational theory for how spatial relations are grounded in the perceptual world. Three constraints are critical to this theory: abstractness, groundedness and flexibility all of which need to be satisfied in order to explain the structure of spatial concepts. I then show how a formal framework, based on the mathematical notions of category theory can be used to model the grounding problem. The key computational ideas are that of minimal mapping and derivations. A minimal mapping of two categories, A and B, is the "smallest' category, C, that contains A and B. A derivation is a sequence of categories that follow a minimal mapping rule. Derivations and minimal mappings are used to model three domains - the semantics of prepositions, the structure of a toy "Jigsaw World" and the semantics of generic terms and quantifiers. In each case, I show how the computational theory gives rise to insights that are not available upon a purely empirical analysis. In particular, the derivational account shows the importance of stable, non-accidental features and of multiple scales in spatial cognition.
by Rajesh Kasturirangan.
Ph.D.
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Blair, Lisa M. "Cognitive Risk Mapping in Low Birthweight Children." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu153202738375901.

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Wong, Chee Kit. "Cognitive inspired mapping by an autonomous mobile robot." Click here to access this resource online, 2008. http://hdl.handle.net/10292/427.

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When animals explore a new environment, they do not acquire a precise map of the places visited. In fact, research has shown that learning is a recurring process. Over time, new information helps the animal to update their perception of the locations it has visited. Yet, they are still able to use the fuzzy and often incomplete representation to find their way home. This process has been termed the cognitive mapping process. The work presented in this thesis uses a mobile robot equipped with sonar sensors to investigate the nature of such a process. Specifically, what is the information that is fundamental and prevalent in spatial navigation? Initially, the robot is instructed to compute a “cognitive map” of its environment. Since a robot is not a cognitive agent, it cannot, by definition, compute a cognitive map. Hence the robot is used as a test bed for understanding the cognitive mapping process. Yeap’s (1988) theory of cognitive mapping forms the foundation for computing the robot’s representation of the places it has visited. He argued that a network of local spaces is computed early in the cognitive mapping process. Yeap coined these local spaces as Absolute Space Representations (ASRs). However, ASR is not just a process of partitioning the environment into smaller local regions. The ASRs describe the bounded space that one is in, how one could leave that space (exits) and how the exits serves to link the ASRs to form a network that serves as the cognitive map (see Jefferies (1999)). Like the animal’s cognitive map, ASRs are not precise geometrical maps of the environment but rather, provide a rough shape or feel of the space the robot is currently in. Once the robot computes its “cognitive map”, it is then, like foraging and hoarding animals, instructed to find its way home. To do so, the robot uses two crucial pieces of information: distance between exits of ASRs and relative orientation of adjacent ASRs. A simple animal-like strategy was implemented for the robot to locate home. Results from the experiments demonstrated the robot’s ability to determine its location within the visited environment along its journey. This task was performed without the use of an accurate map. From these results and reviews of various findings related to cognitive mapping for various animals, we deduce that: Different animals have different sensing capabilities. They live in different environments and therefore face unique challenges. Consequently, they evolve to have different navigational strategies. However, we believe two crucial pieces of information are inherent in all animals and form the fundamentals of navigation: distance and orientation. Higher level animals may encode and may even prefer richer information to enhance the animal’s cognitive map. Nonetheless, distance and orientation will always be computed as a core process of cognitive mapping. We believe this insight will help future research to better understand the complex nature of cognitive mapping.
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Pierson, Eric E. McBride Dawn M. "Mood and memory mapping the cognitive-emotive structure /." Normal, Ill. : Illinois State University, 2007. http://proquest.umi.com/pqdweb?index=0&did=1390309741&SrchMode=1&sid=4&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1203095001&clientId=43838.

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Thesis (Ph. D.)--Illinois State University, 2007.
Title from title page screen, viewed on February 15, 2008. Dissertation Committee: Dawn M. McBride (chair), Alvin E. House, Karla J. Doepke, Robert Peterson. Includes bibliographical references (leaves 94-100) and abstract. Also available in print.
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Aranda-Mena, Guillermo. "Mapping workers' cognitive structures of construction site hazards." Thesis, University of Reading, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400021.

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Norris, Mary Ann. "The cognitive mapping of musical intention to performance." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/69274.

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Alkurt, Saygin Vedat. "Fuzzy Cognitive Mapping: A Case Study On Turkish Ngos." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615665/index.pdf.

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Fuzzy Cognitive Mapping is used as an effective tool to grasp complex systems. Fuzzy Cognitive Mapping, which is based on quantification of qualitative data, can be considered as a hybrid mix of quantitative and qualitative methods, and its roots can be traced back to graph theory. The basic purpose of this study is to discuss Fuzzy Cognitive Maps in methodological terms and develop suggestions for using maps drawn within two different frameworks. By this, Fuzzy Cognitive Maps applied in similar fields will be evaluated at one level. For this purpose, the thesis will utilize the data derived from maps drawn by NGO directors in Turkey. In the case study, cognitive maps are drawn around two concepts: the reputation of civil society in Turkey and its influence power. Due to their qualitative character, Fuzzy Cognitive Mapping is a research tool suitable for making comparative analysis. Divided into city and activity categories, the database of case study used in this thesis provided comparable data. Categorical differences are evaluated through drawing cognitive maps out of database.
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Farsari-Zacharaki, Ioanna. "Understanding sustainable tourism policy : conceptual framework and cognitive mapping." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/937/.

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Books on the topic "Cognitive mapping"

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Mandonnet, Emmanuel, and Guillaume Herbet, eds. Intraoperative Mapping of Cognitive Networks. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75071-8.

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Nast, Jamie. Idea Mapping. New York: John Wiley & Sons, Ltd., 2006.

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Rob, Kitchin, and Freundschuh Scott 1957-, eds. Cognitive mapping: Past, present, and future. London: Routledge, 2000.

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Jefferies, Margaret E., and Wai-Kiang Yeap, eds. Robotics and Cognitive Approaches to Spatial Mapping. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75388-9.

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E, Jefferies Margaret, and Yeap Wai K, eds. Robotics and cognitive approaches to spatial mapping. Berlin: Springer, 2008.

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Belief and knowledge: Mapping the cognitive landscape. Lanham, Md: Rowman & Littlefield, 1997.

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D, Rugg M., ed. Cognitive neuroscience. Cambridge, Mass: MIT Press, 1997.

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Parthé, Kathleen. Russia's "unreal estate": Cognitive mapping and national identity. [Washington, D.C: Woodrow Wilson Center for Scholars, 1997.

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Keane, Mark T. Towards an adequate cognitive model of analogical mapping. Dublin: Trinity College, Department of Computer Science, 1991.

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Parthé, Kathleen. Russia's "unreal estate": Cognitive mapping and national identity. Washington, DC: Woodrow Wilson Center, Kennan Institute for Advanced Russian Studies, 1997.

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Book chapters on the topic "Cognitive mapping"

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Shekhar, Shashi, and Hui Xiong. "Cognitive Mapping." In Encyclopedia of GIS, 97. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_143.

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Cirucci, Angela M., and Urszula M. Pruchniewska. "Cognitive Mapping." In UX Research Methods for Media and Communication Studies, 122–28. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003181750-18.

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Jameson, Fredric. "Cognitive Mapping." In Marxism and the Interpretation of Culture, 347–57. London: Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-19059-1_25.

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Barbrook-Johnson, Pete, and Alexandra S. Penn. "Fuzzy Cognitive Mapping." In Systems Mapping, 79–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01919-7_6.

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AbstractThis chapter introduces Fuzzy Cognitive Mapping (FCM), a method for developing and analysing ‘semi-quantitative’ (i.e. using and producing indicative rather than predictive numerical values) causal models. We explain in simple language what an FCM map is made up of and the two main ways in which analysis is done. We go into some detail on how to do it yourself and provide reflections on common issues and tricks of the trade. We also discuss its roots and debates in the field since. Finally, we provide some advice and resources for getting started yourself.
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Mundale, Jennifer. "Brain Mapping." In A Companion to Cognitive Science, 129–39. Oxford, UK: Blackwell Publishing Ltd, 2017. http://dx.doi.org/10.1002/9781405164535.ch4.

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Louie, A. H. "The Imminence Mapping Anticipates." In Cognitive Systems Monographs, 163–85. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22599-9_11.

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Kemmerer, David. "Brain Mapping Methods." In Cognitive Neuroscience of Language, 30–69. 2nd ed. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781138318427-3.

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Będkowski, Janusz. "Mobile Mapping Systems." In Cognitive Intelligence and Robotics, 13–27. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1972-5_2.

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Crowder, Mark, Mohammad Roohanifar, and Trevor A. Brown. "Revealed cognitive causal mapping." In Public Sector Strategy, 168–85. London: Routledge, 2022. http://dx.doi.org/10.4324/9780429344305-14.

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Morgan, Geoffrey P., Joel Levine, and Kathleen M. Carley. "Socio-Cultural Cognitive Mapping." In Social, Cultural, and Behavioral Modeling, 71–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60240-0_9.

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Conference papers on the topic "Cognitive mapping"

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Baets, W. "Corporate cognitive mapping: mapping of corporate change processes." In 4th International Conference on Artificial Neural Networks. IEE, 1995. http://dx.doi.org/10.1049/cp:19950586.

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King, Maedbh, Rich Ivry, and Joern Diedrichsen. "Mapping the Human Cerebellum." In 2018 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1146-0.

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Steinkamp, Simon, Iyadh Chaker, Félix Hubert, David Meder, and Oliver Hulme. "Computational Parametric Mapping: A Method For Mapping Cognitive Models Onto Neuroimaging Data." In 2022 Conference on Cognitive Computational Neuroscience. San Francisco, California, USA: Cognitive Computational Neuroscience, 2022. http://dx.doi.org/10.32470/ccn.2022.1124-0.

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Wong, Chui Yin. "Cognitive mapping on user interface design." In 2010 International Conference on Computer Applications and Industrial Electronics (ICCAIE). IEEE, 2010. http://dx.doi.org/10.1109/iccaie.2010.5735091.

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Helmetag, Arnd, Christian Halbig, Wolfgang Kubbat, and Rainer Schmidt. "Cognitive mapping based on synthetic vision?" In AeroSense '99, edited by Jacques G. Verly. SPIE, 1999. http://dx.doi.org/10.1117/12.354432.

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Ghofrani, Javad, Bastian Deutschmann, Mohammad Divband Soorati, Dirk Reichelt, and Steffen Ihlenfeldt. "Cognitive Production Systems: A Mapping Study." In 2020 IEEE 18th International Conference on Industrial Informatics (INDIN). IEEE, 2020. http://dx.doi.org/10.1109/indin45582.2020.9442230.

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Byung Sung Yoon and Antonie J. Jetter. "Comparative analysis for Fuzzy Cognitive Mapping." In 2016 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2016. http://dx.doi.org/10.1109/picmet.2016.7806755.

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Tseng, Christine, Storm Slivkoff, and Jack Gallant. "Mapping the representation of social information across cortex." In 2022 Conference on Cognitive Computational Neuroscience. San Francisco, California, USA: Cognitive Computational Neuroscience, 2022. http://dx.doi.org/10.32470/ccn.2022.1221-0.

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Peng, Jun, Shaoning Pang, Du Zhang, Shangzhu Jin, Lixiao Feng, and Zuojin Li. "S-boxes Construction Based on Quantum Chaos and PWLCM Chaotic Mapping." In 2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2019. http://dx.doi.org/10.1109/iccicc46617.2019.9146028.

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Wang, Hongming, Zengguang Hou, and Min Tan. "Mapping Dynamic Environment Using Gaussian Mixture Model." In 6th IEEE International Conference on Cognitive Informatics. IEEE, 2007. http://dx.doi.org/10.1109/coginf.2007.4341920.

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Reports on the topic "Cognitive mapping"

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Hill, Jr, Han Randall W., van Lent Changhee, and Michael. Applying Perceptually Driven Cognitive Mapping to Virtual Urban Environments. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada460290.

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Yoon, Byung. Narrowing the Cognitive Distance Between Engineers and Customers: A Novel Approach, Based on Fuzzy Cognitive Mapping. Portland State University Library, February 2020. http://dx.doi.org/10.15760/etd.7285.

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Kelley, Troy D. Using a Cognitive Architecture to Solve Simultaneous Localization and Mapping (SLAM) Problems. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ad1016045.

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Kelley, Troy D. Using a Cognitive Architecture to Solve Simultaneous Localization and Mapping (SLAM) Problems. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada636872.

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Sperry, Richard. Multi-Perspective Technology Assessment to Improve Decision Making: A Novel Approach Using Fuzzy Cognitive Mapping for a Large-Scale Transmission Line Upgrade. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1821.

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