Academic literature on the topic 'Cognitive maps'
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Journal articles on the topic "Cognitive maps"
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.
Full textKosko, 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.
Full textKang, 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.
Full textVoicu, 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.
Full textChrastil, 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.
Full textKang, 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.
Full textObata, 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.
Full textWu, 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.
Full textBrysch, 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.
Full textO'Keefe, John. "Cognitive maps in infants?" Nature 370, no. 6484 (July 1994): 19–20. http://dx.doi.org/10.1038/370019a0.
Full textDissertations / Theses on the topic "Cognitive maps"
Ball, N. R. "Cognitive maps in Learning Classifier Systems." Thesis, University of Reading, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280670.
Full textPinheiro, Jose de Queiroz 1951. "Determinants of cognitive maps of the world as expressed in sketch maps." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/282105.
Full textAtasoy, Guzide. "Using Cognitive Maps For Modeling Project Success." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608545/index.pdf.
Full textwhat are the factors affecting the success&rdquo
and &ldquo
according to whom and which criteria should the success be measured&rdquo
should be answered. Both the factors and their influences vary depending on a project&rsquo
s specific characteristics, different environmental factors affecting it, and different parties involved. These factors are not independent of each other and the interrelationship between them should be investigated as a whole in order to model the project success. Moreover, parties involved in a project usually have different objectives and the performance indicators used to measure project success differ according to company priorities, preferences and attitudes. Thus, there exists a need to develop a project success model that contains the interrelationships between factors such as risks, decisions, and strategies, project success criteria, objectives and the relations of the factors with the objectives. A cognitive map (CM) is a strong visual tool to reflect the beliefs and knowledge of people about a situation or domain, identifying the causes, effects and the relations between them. This qualitative technique being enhanced by quantifiable properties makes it appropriate to be utilized to model the project success. As a result, the objective of this study is to demonstrate the application of CMs as a powerful tool for modeling project success. It is hypothesized that CMs can be effectively used to model the factors affecting success of a construction project, to reflect the interrelations between project success factors, to demonstrate the different objectives of parties involved in a project and show how the project success can be defined differently, by different parties. This technique is applied to a real construction project realized in Turkey. CMs of two consortium contractors and client organization involved in the project are constructed and the differences between the perceptions of three parties are revealed by content and structural analyses. Finally, the benefits and shortcomings of using CMs for modeling project success are discussed by referring to case study findings.
Davies, Clare. "Cognitive aspects of work with digital maps." Thesis, Loughborough University, 1999. https://dspace.lboro.ac.uk/2134/7328.
Full textZhao, Youping. "Enabling Cognitive Radios through Radio Environment Maps." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/27826.
Full textPh. D.
Mohsenin, Mahsan (SeyedehMahsan). "The impact of urban geometry on cognitive maps." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65743.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 86-87).
This thesis investigates the relationship between urban geometry and cognitive maps. It is focused on the question of how human cognition of the built environment is affected by urban geometry. Building on the foundations of Kevin Lynch's studies of environmental perception (Lynch, 1960) and recent configurational 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 thesis 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, first I measure and define urban geometry based on graph theory in two selected areas with different geometries in Kenmore, Boston and Kendall Sq., Cambridge, MA I will then collect cognitive maps based on specifically designed map drawing surveys. Finally, I examine the relationship between graph results and cognitive maps in order to identify the ways that urban geometry affects human perception. The findings inform urban designers and scholars of the city of how the configuration of the built environment can affect people's memory of a place, thus shaping one's experience of a city. Keywords: configurational patterns, urban geometry, cognitive maps, graph theory.
by Mahsan Mohsenin.
S.M.
Chen, Ye. "Fuzzy Cognitive Maps: Learning Algorithms and Biomedical Applications." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1423581705.
Full textWhite, Ethan. "Discovering Causality in Suicide Notes Using Fuzzy Cognitive Maps." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1307323791.
Full textVann, Bugmann Davi. "Retrieval, action and the representation of distance in cognitive maps." Thesis, University of Plymouth, 2003. http://hdl.handle.net/10026.1/2301.
Full textAlizadeh, Yasser. "Achieving Organizational Ambidexterity| An Exploratory Model, Using Fuzzy Cognitive Maps." Thesis, Portland State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10748904.
Full textOver the course of three to four decades, most well-established companies lose their dominating position in the market or fail entirely. Their failure occurs even though they have resources for sensing shifting market trends, skills and assets to develop next-generation technologies, and the financial means to fill skill gaps and afford risky investments. Nevertheless, incumbents obviously find it very difficult to invest in innovation that takes attention and resources away from a highly successful core business. A solution to this “innovator’s dilemma” is the concept of “organizational ambidexterity”, which has garnered considerable attention among researchers in organization and innovation. According to empirical findings and emergent theory, companies can improve their financial performance and ensure their long-term survival by balancing their innovation activities, so that they are equally focused on exploratory (discontinuous) and exploitative (incremental, continuous) innovations. But how can such a balance be achieved? The literature on the organizational theory and related fields (product innovation, knowledge management, creativity, etc.) identifies more than 300 contributing factors to innovation and ambidexterity: many are interdependent so that their impacts compound or cancel each other. Moreover, for many factors, there is limited empirical data and the size of impacts is unknown. To understand which managerial actions lead to ambidexterity, this dissertation develops a novel approach to the study and analysis of complex casual systems with high uncertainty: exploratory fuzzy cognitive mapping.
Fuzzy Cognitive Mapping (FCM) is a semi-quantitative system modeling and simulation technique. It is used to represent qualitative information about complex systems as networks of casual relationships that can be studied computationally. Exploratory modeling and analysis (EMA) is a new approach to modeling and simulation of complex systems when there is high uncertainty about the structural properties of the system. This work is the first to combine both approaches.
The work makes several contributions: First, it shows that only a small fraction of management interventions will actually lead to ambidexterity while most will, at best, improve one type of innovation at the expense of the other. Second, it provides a simulation tool to management researchers and practitioners that allows them to test ideas for improving ambidexterity against a model that reflects our current collective knowledge about innovation. And third, it develops a range of techniques (and software code) for exploratory FCM modeling, such as methods for transforming qualitative data to FCM, for exploratory simulation of large and complex FCM models, and for data visualization. They can be utilized to study other similarly complex and uncertain systems.
Books on the topic "Cognitive maps"
Kandasamy, W. B. Vasantha. Fuzzy cognitive maps and neutrosophic cognitive maps. Phoenix: Xiquan, 2003.
Find full textGlykas, Michael, ed. Fuzzy Cognitive Maps. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03220-2.
Full textLangfield-Smith, Kim. Quantitative measures of cognitive maps. Melbourne: University ofMelbourne, Graduate School of Management, 1991.
Find full textPortugali, Juval, ed. The Construction of Cognitive Maps. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-0-585-33485-1.
Full textLaurent, André. "Managers' cognitive maps for upward and downward relationships". Fontainbleau: INSEAD, 1986.
Find full textPapageorgiou, Elpiniki I., ed. Fuzzy Cognitive Maps for Applied Sciences and Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-39739-4.
Full textStraughn, Harold. Life spirals: Exploring your ascent through the seven transformations that propel humanity's dreams. St. Louis: Chalice, 2009.
Find full textErvin, Laszlo. Changing visions: Human cognitive maps : past, present and future. London: Adamantine, 1996.
Find full textPortugali, Juval. The Construction of Cognitive Maps {GeoJournal Library ; V. 32}. Dordrecht: Springer, 1996.
Find full textAxelrod, Robert, ed. Structure of Decision: The Cognitive Maps of Political Elites. Princeton: Princeton University Press, 2015. http://dx.doi.org/10.1515/9781400871957.
Full textBook chapters on the topic "Cognitive maps"
Nadel, Lynn. "Cognitive maps." In Handbook of spatial cognition., 155–71. Washington: American Psychological Association, 2013. http://dx.doi.org/10.1037/13936-009.
Full textKlatzky, Roberta L. "Cognitive maps." In Encyclopedia of psychology, Vol. 2., 147–50. Washington: American Psychological Association, 2000. http://dx.doi.org/10.1037/10517-056.
Full textLloyd, Robert. "Cognitive Maps." In Spatial Cognition, 44–69. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-3044-0_3.
Full textPedrycz, Witold, and Wladyslaw Homenda. "From Fuzzy Cognitive Maps to Granular Cognitive Maps." In Computational Collective Intelligence. Technologies and Applications, 185–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34630-9_19.
Full textDikopoulou, Zoumpolia. "Fuzzy Cognitive Maps." In Fuzzy Management Methods, 27–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81496-0_3.
Full textKucner, Tomasz Piotr, Achim J. Lilienthal, Martin Magnusson, Luigi Palmieri, and Chittaranjan Srinivas Swaminathan. "Maps of Dynamics." In Cognitive Systems Monographs, 15–32. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41808-3_2.
Full textPapageorgiou, Elpiniki I. "A Novel Approach on Constructed Dynamic Fuzzy Cognitive Maps Using Fuzzified Decision Trees and Knowledge-Extraction Techniques." In Fuzzy Cognitive Maps, 43–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03220-2_3.
Full textJose, Aguilar. "Dynamic Fuzzy Cognitive Maps for the Supervision of Multiagent Systems." In Fuzzy Cognitive Maps, 307–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03220-2_13.
Full textGroumpos, Peter P. "Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems." In Fuzzy Cognitive Maps, 1–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03220-2_1.
Full textKottas, Thodoris L., Athanasios D. Karlis, and Yiannis S. Boutalis. "Fuzzy Cognitive Networks for Maximum Power Point Tracking in Photovoltaic Arrays." In Fuzzy Cognitive Maps, 231–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03220-2_10.
Full textConference papers on the topic "Cognitive maps"
Robert, Adrian, David Genest, and Stéphane Loiseau. "Temporal Cognitive Maps." In 12th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0008937300580068.
Full textMiao, Yuan. "Visualising Fuzzy Cognitive Maps." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6251353.
Full textHaoming Zhong, Chunyan Miao, Zhiqi Shen, and Yuhong Feng. "Temporal fuzzy cognitive maps." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630619.
Full textBourgani, Evangelia, Chrysostomos D. Stylios, George Manis, and Voula Georgopoulos. "Timed Fuzzy Cognitive Maps." In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2015. http://dx.doi.org/10.1109/fuzz-ieee.2015.7338074.
Full textHomenda, Wladyslaw, Agnieszka Jastrzebska, and Witold Pedrycz. "Granular Cognitive Maps reconstruction." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891724.
Full textKurtz, Steve, and Nancy Doubleday. "Virtual worlds, cognitive maps." In ACM SIGGRAPH 2004 Educators program. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1186107.1186131.
Full textD'Onofrio, Sara, Noémie Zurlinden, Patrick Kaltenrieder, Edy Portmann, and Thomas Myrach. "Synchronizing Mind Maps with Fuzzy Cognitive Maps for Decision-Finding in Cognitive Cities." In ICEGOV '15-16: 9th International Conference on Theory and Practice of Electronic Governance. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2910019.2910034.
Full textLeón, Maikel, Rafael Bello, and Koen Vanhoof. "Cognitive Maps in Transport Behavior." In Mexican International Conference on Artificial Intelligence (MICAI). IEEE, 2009. http://dx.doi.org/10.1109/micai.2009.13.
Full textJohns, Cathryn, and Edwin Blake. "Cognitive maps in virtual environments." In the 1st international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/513867.513894.
Full textKrichene, Jihene, and Noureddine Boudriga. "Incident Response Probabilistic Cognitive Maps." In 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2008. http://dx.doi.org/10.1109/ispa.2008.33.
Full textReports on the topic "Cognitive maps"
Alizadeh, Yasser. Achieving Organizational Ambidexterity: An Exploratory Model, Using Fuzzy Cognitive Maps. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6258.
Full textBechtel, James H. An Innovative Knowledge-Based System Using Fuzzy Cognitive Maps for Command and Control An Innovative Knowledge-Based System Using Fuzzy Cognitive Maps for Command and Control. Fort Belvoir, VA: Defense Technical Information Center, November 1997. http://dx.doi.org/10.21236/ada381723.
Full textPerusich, Karl, and Michael D. McNeese. Understanding and Modeling Information Dominance in Battle Management: Applications of Fuzzy Cognitive Maps. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada352913.
Full textAlibage, Ahmed. Achieving High Reliability Organizations Using Fuzzy Cognitive Maps - the Case of Offshore Oil and Gas. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7478.
Full textTkacz, Sharon. Spatial Cognition and Map Interpretation. Fort Belvoir, VA: Defense Technical Information Center, September 1987. http://dx.doi.org/10.21236/ada190583.
Full textIvanova, Halyna I., Olena O. Lavrentieva, Larysa F. Eivas, Iuliia O. Zenkovych, and Aleksandr D. Uchitel. The students' brainwork intensification via the computer visualization of study materials. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3859.
Full textRedden, Elizabeth S., William Harris, David Miller, and Daniel D. Turner. Cognitive Load Study Using Increasingly Immersive Levels of Map-based Information Portrayal on the End User Device. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada569544.
Full textAmer, Muhammad. Extending Technology Roadmap through Fuzzy Cognitive Map-based Scenarios: The Case of the Wind Energy Sector of Pakistan. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.999.
Full textMalchenko, Svitlana L., Davyd V. Mykoliuk, and Arnold E. Kiv. Using interactive technologies to study the evolution of stars in astronomy classes. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3752.
Full textRahimi, Noshad. Developing a Mixed-Methods Method to Model Elderly Health Technology Adoption with Fuzzy Cognitive Map, and its Application in Adoption of Remote Health Monitoring Technologies by Elderly Women. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6395.
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