Relevant bibliographies by topics / Cognitive maps

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cognitive maps'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 May 2022

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Journal articles on the topic "Cognitive maps"

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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Cognitive maps"

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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.

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Pinheiro, 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.

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Cognitive representations of the world have been typically studied by means of either qualitative approaches or bivariate association. The sketch map technique and other strategies of data collection have been used in the past, in many instances applied to reduced sets of world nations. In the present study sketch maps of the world drawn by Brazilian university students were examined in terms of frequency of inclusion of nations to verify the combined influence of potential determinants of that inclusion. A graphical procedure was devised to differentiate shared and parochial views of the world and to simultaneously indicate possible predictive variables. The quantitative analysis of the effects of world countries' characteristics upon the inclusion of nations on the sketch maps was proposed as an additional step for a better understanding of the complex process of formation of cognitive representations of the world. Map features and other characteristics of world countries were analyzed and selected by correlational techniques, including exploratory factor analysis, to be part of multiple regression models used to account for the inclusions of nations. The exploratory regression analyses were performed on a random half of the Brazilian sample of students, according to a combined use of hierarchical analysis, based on classes of causal precedence of the independent variables, and stepwise selection within those classes. The final multiple regression equations accounted for approximately 75 percent of the variance of the dependent variable. A cross-validation procedure was then accomplished, which confirmed the results of the exploratory phase. The main influences upon the inclusion of nations by the Brazilian students were exerted by world indicators of geopolitical, military and economic power, as represented by the strategy board game "WARII" and citations of nations on a Brazilian newspaper. The second group in importance was formed by structural characteristics of the countries, such as their size and map positioning. Cultural aspects of world countries, including the involvement of the country in soccer, presented the smallest effect.
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Atasoy, Guzide. "Using Cognitive Maps For Modeling Project Success." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608545/index.pdf.

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In order to evaluate a project as successful or not, initially, the questions of &ldquo
what 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.
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Davies, Clare. "Cognitive aspects of work with digital maps." Thesis, Loughborough University, 1999. https://dspace.lboro.ac.uk/2134/7328.

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Digital maps of geographic areas are increasingly common in many types of workplace, in education and in the public domain. Their interactivity and visual features, and the complexity of geographic(al) information systems (GIS) which create, edit and manipulate them, create special cognitive demands on the end-user which are not present in traditional cartographic maps or in most human-computer interaction (HCI). This thesis reviews cross-disciplinary literature regarding cognitive aspects of viewing and interacting with digital maps. Data from an observational study of GIS use, including real-time recordings of normal workplace activities, was analysed using various approaches to examine the interactive and visual aspects of people's work. The implications for cartographic, psychological and HeI aspects of GIS are discussed, in the context of the actual tasks people perform with them (rather than the computationally advanced analyses assumed by most literature). The second phase of the research examined the spatial knowledge attained and used during this interaction. The relevance of specific concepts in cognitive psychology, and of factors that create individual differences in cognition, are discussed in depth, alongside work in environmental and educational psychology, cartography and geography. A controlled experiment examined the degree to which task characteristics induce a different spatial model or reference frame when viewing a digital map. It was shown that even novice users can switch between considering the map as an abstract geometric display or as a geographical representation, without affecting performance. However, tasks forcing subjects to focus entirely on the geometry rather than the geography did affect performance in a surprise post-test photograph identification task. Map users' mental model or reference frame is apparently affected by these task constraints; this has implications for GIS design and practice as well as for understanding spatial cognition The study also considered the role of expertise and other individual difference factors, although conclusions were limited by sample size. Further research issues are highlighted, particularly regarding the knowledge structures and spatial language used in interpreting digital maps.
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Zhao, Youping. "Enabling Cognitive Radios through Radio Environment Maps." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/27826.

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In recent years, cognitive radios and cognitive wireless networks have been introduced as a new paradigm for enabling much higher spectrum utilization, providing more reliable and personal radio services, reducing harmful interference, and facilitating the interoperability or convergence of different wireless communication networks. Cognitive radios are goal-oriented, autonomously learn from experience and adapt to changing operating conditions. Cognitive radios have the potential to drive the next generation of radio devices and wireless communication system design and to enable a variety of niche applications in demanding environments, such as spectrum-sharing networks, public safety, natural disasters, civil emergencies, and military operations. This research first introduces an innovative approach to developing cognitive radios based on the Radio Environment Map (REM). The REM can be viewed as an integrated database that provides multi-domain environmental information and prior knowledge for cognitive radios, such as the geographical features, available services and networks, spectral regulations, locations and activities of neighboring radios, policies of the users and/or service providers, and past experience. The REM, serving as a vehicle of network support to cognitive radios, can be exploited by the cognitive engine for most cognitive functionalities, such as situation awareness, reasoning, learning, planning, and decision support. This research examines the role of the REM in cognitive radio development from a network point of view, and focuses on addressing three specific issues about the REM: how to design and populate the REM; how to exploit the REM with the cognitive engine algorithms; and how to evaluate the performance of the cognitive radios. Applications of the REM to wireless local area networks (WLAN) and wireless regional area networks (WRAN) are investigated, especially from the perspectives of interference management and radio resource management, which illustrate the significance of cognitive radios to the evolution of wireless communications and the revolution in spectral regulation. Network architecture for REM-enabled cognitive radios and framework for REM-enabled situation-aware cognitive engine learning algorithms have been proposed and formalized. As an example, the REM, including the data model and basic application programmer interfaces (API) to the cognitive engine, has been developed for cognitive WRAN systems. Furthermore, REM-enabled cognitive cooperative learning (REM-CCL) and REM-enabled case- and knowledge-based learning algorithms (REM-CKL) have been proposed and validated with link-level or network-level simulations and a WRAN base station cognitive engine testbed. Simulation results demonstrate that the WRAN CE can adapt orders of magnitude faster when using the REM-CKL than when using the genetic algorithms and achieve near-optimal global utility by leveraging the REM-CKL and a local search. Simulation results also suggest that exploiting the Global REM information can considerably improve the performance of both primary and secondary users and mitigate the hidden node (or hidden receiver) problem. REM dissemination schemes and the resulting overhead have been investigated and analyzed under various network scenarios. By extending the optimized link state routing protocol, the overhead of REM dissemination in wireless ad hoc networks via multipoint relays can be significantly reduced by orders of magnitude as compared to plain flooding. Performance metrics for various cognitive radio applications are also proposed. REM-based scenario-driven testing (REM-SDT) has been proposed and employed to evaluate the performances of the cognitive engine and cognitive wireless networks. This research shows that REM is a viable, cost-efficient approach to developing cognitive radios and cognitive wireless networks with significant potential in various applications. Future research recommendations are provided in the conclusion.
Ph. D.
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Mohsenin, Mahsan (SeyedehMahsan). "The impact of urban geometry on cognitive maps." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65743.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2011.
Cataloged 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.
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Chen, Ye. "Fuzzy Cognitive Maps: Learning Algorithms and Biomedical Applications." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1423581705.

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White, Ethan. "Discovering Causality in Suicide Notes Using Fuzzy Cognitive Maps." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1307323791.

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Vann, Bugmann Davi. "Retrieval, action and the representation of distance in cognitive maps." Thesis, University of Plymouth, 2003. http://hdl.handle.net/10026.1/2301.

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This thesis examines the context effects on retrieval, and the influence of action on the representation of distance in cognitive maps. It is proposed that bias in distance estimation is a function of the contexts of retrieval that trigger the representation of action in memory during evaluation tasks. The proposal is consistent with embodied cognition evidence that suggests that actions are implicitly a part of the representation, and will be naturally extracted as part of the retrieval process. The experimental work presented examines two different contextual cues; the frequency of visitation to landmarks, and the importance of activity performed at landmarks. Each cue primes differently the conceptualisation of landmarks prior to making distance estimation. This priming facilitates memory access, which fleshes out relevant spatial information from cognitive maps that are used in distance estimation and route description. This proposal was examined in a series of four experiments that employed structured interviews. Participants had to rate landmarks based on frequency of visitation criteria or importance of activity criteria, or both. They then made verbal distance estimations and route descriptions. The results found implicate the involvement of action representation. The involvement of action in cognitive process was empirically investigated in three further experiments. A new methodology was developed featuring the use of a blindfold, linguistic descriptions, and control of actual movements. Blindfolded participants learned new environments through verbal descriptions by imagining themselves walking in time with the metronome beats. During turns, they were carefully moved. Following instructions, they performed an action at mid-route. Their memories for the newly learned environments were tested through recalls and measured again with the metronome beats. The results found were consistent with explanations based on network-map theory. They implicate attentional processes as an intrinsic part of the cognitive mechanism, and the strings of the network-map as the actual motor program that executes the movement. These results are discussed in relation to the nature of cognitive maps.
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Alizadeh, Yasser. "Achieving Organizational Ambidexterity| An Exploratory Model, Using Fuzzy Cognitive Maps." Thesis, Portland State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10748904.

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Over 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.

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Books on the topic "Cognitive maps"

1

Kandasamy, W. B. Vasantha. Fuzzy cognitive maps and neutrosophic cognitive maps. Phoenix: Xiquan, 2003.

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Glykas, Michael, ed. Fuzzy Cognitive Maps. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03220-2.

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Langfield-Smith, Kim. Quantitative measures of cognitive maps. Melbourne: University ofMelbourne, Graduate School of Management, 1991.

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Portugali, Juval, ed. The Construction of Cognitive Maps. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-0-585-33485-1.

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Laurent, André. "Managers' cognitive maps for upward and downward relationships". Fontainbleau: INSEAD, 1986.

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Papageorgiou, 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.

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Straughn, Harold. Life spirals: Exploring your ascent through the seven transformations that propel humanity's dreams. St. Louis: Chalice, 2009.

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Ervin, Laszlo. Changing visions: Human cognitive maps : past, present and future. London: Adamantine, 1996.

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Portugali, Juval. The Construction of Cognitive Maps {GeoJournal Library ; V. 32}. Dordrecht: Springer, 1996.

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Axelrod, Robert, ed. Structure of Decision: The Cognitive Maps of Political Elites. Princeton: Princeton University Press, 2015. http://dx.doi.org/10.1515/9781400871957.

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Book chapters on the topic "Cognitive maps"

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Nadel, Lynn. "Cognitive maps." In Handbook of spatial cognition., 155–71. Washington: American Psychological Association, 2013. http://dx.doi.org/10.1037/13936-009.

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Klatzky, 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.

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Lloyd, Robert. "Cognitive Maps." In Spatial Cognition, 44–69. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-3044-0_3.

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Pedrycz, 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.

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Dikopoulou, 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.

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Kucner, 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.

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Papageorgiou, 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.

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Jose, 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.

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Groumpos, 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.

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Kottas, 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.

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Conference papers on the topic "Cognitive maps"

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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.

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Miao, 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.

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Haoming 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.

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Bourgani, 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.

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Homenda, 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.

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Kurtz, 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.

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D'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.

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León, 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.

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Johns, 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.

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Krichene, 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.

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Reports on the topic "Cognitive maps"

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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.

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Bechtel, 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.

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Perusich, 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.

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Alibage, 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.

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Tkacz, Sharon. Spatial Cognition and Map Interpretation. Fort Belvoir, VA: Defense Technical Information Center, September 1987. http://dx.doi.org/10.21236/ada190583.

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Ivanova, 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.

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The paper the approaches to the intensification of the students’ brainwork by means of computer visualization of study material have been disclosed. In general, the content of students’ brainwork has been presented as a type of activity providing the cognitive process, mastering the techniques and ways of thinking, developing the capabilities and abilities of the individual, the product of which is a certain form of information, as a result of the brainwork the outlook of the subject of work is enriched. It is shown the visualization is the process of presenting data in the form of an image with the aim of maximum ease of understanding; the giving process of visual form to any mental object. In the paper the content, techniques, methods and software for creating visualization tools for study material has exposed. The essence and computer tools for creating such types of visualization of educational material like mind maps, supporting notes and infographics have been illustrated; they have been concretized from the point of view of application in the course of studying the mathematical sciences. It is proved the use of visualization tools for study materials helps to increase the intensity and effectiveness of students’ brainwork. Based on the results of an empirical study, it has been concluded the visualization of study materials contributes to the formation of students’ key intellectual competencies and forming their brainwork culture.
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Redden, 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.

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Amer, 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.

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9

Malchenko, 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.

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In astrophysics, a significant role is played by observations. During astronomy classes in the absence of surveillance tools interactive programmes such as an interactive programme for space objects simulation can be used as Universe Sandbox2. The aim of this work is to implement interactive programmes for effective astronomy teaching, understanding material and increasing cognitive interest. We observe the evolution of stars while using Universe Sandbox2 during the study of the topic “Evolution of stars”. Using this programme students have an opportunity to get acquainted with the existence of stars with different masses, their differences, to observe changes in the physical characteristics of stars such as: mass, temperature, speed velocity, luminosity, radius and gravity. It will help to develop the ability to analyze, to compare, to form scientific worldview, to develop the attraction for research, to raise the interest for studying astronomy.
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Rahimi, 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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