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Journal articles on the topic 'Mental model'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Rowe, Anna L., Nancy J. Cooke, Kelly J. Neville, and Chris W. Schacherer. "Mental Models of Metal Models: A Comparison of Mental Model Measurement Techniques." Proceedings of the Human Factors Society Annual Meeting 36, no. 16 (1992): 1195–99. http://dx.doi.org/10.1177/154193129203601603.

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Although use of the mental model construct has proliferated in recent research, the construct lacks a clear definition and an agreed upon method of measurement. Furthermore, the reliability and validity of the different measurement techniques in use have not been established, thereby making generalizations across studies of mental models difficult. The purpose of the current project was to assess several methods of measuring mental models in terms of their reliability/stability over time. Subjects” mental models of the automobile engine system were elicited on two occasions separated by one we

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2

Radvansky, Gabriel A., Daniel H. Spieler, and Rose T. Zacks. "Mental model organization." Journal of Experimental Psychology: Learning, Memory, and Cognition 19, no. 1 (1993): 95–114. http://dx.doi.org/10.1037/0278-7393.19.1.95.

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3

Kaszás, Beáta, and István Tiringer. "Selection, optimization, compensation: Baltes’ model of the elderly’s adaptation processes." Mentálhigiéné és Pszichoszomatika 11, no. 3 (2010): 191–208. http://dx.doi.org/10.1556/mental.11.2010.3.2.

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4

Lewis, C. "A model of mental model construction." ACM SIGCHI Bulletin 17, no. 4 (1986): 306–13. http://dx.doi.org/10.1145/22339.22388.

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5

Peterson, Robert F. "On Sperry's mental model." American Psychologist 45, no. 1 (1990): 70–71. http://dx.doi.org/10.1037/0003-066x.45.1.70.b.

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6

Wright, Robert. "A Better Mental Model." Sciences 26, no. 2 (1986): 8–10. http://dx.doi.org/10.1002/j.2326-1951.1986.tb02834.x.

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7

Wang, Xinqiang, Dajun Zhang, and Jinliang Wang. "Dual-Factor Model of Mental Health: Surpass the Traditional Mental Health Model." Psychology 02, no. 08 (2011): 767–72. http://dx.doi.org/10.4236/psych.2011.28117.

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8

Czeglédi, Edit. "The application of the transtheoretical model of behavior change for the treatment of obesity." Mentálhigiéné és Pszichoszomatika 13, no. 4 (2012): 411–34. http://dx.doi.org/10.1556/mental.13.2012.4.4.

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9

Moore, Donna, Nicholas Drey, and Susan Ayers. "Use of Online Forums for Perinatal Mental Illness, Stigma, and Disclosure: An Exploratory Model." JMIR Mental Health 4, no. 1 (2017): e6. http://dx.doi.org/10.2196/mental.5926.

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Background Perinatal mental illness is a global health concern; however, many women with the illness do not get the treatment they need to recover. Interventions that reduce the stigma around perinatal mental illness have the potential to enable women to disclose their symptoms to health care providers and consequently access treatment. There are many online forums for perinatal mental illness and thousands of women use them. Preliminary research suggests that online forums may promote help-seeking behavior, potentially because they have a role in challenging stigma. This study draws from thes

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10

Schwartz, Daniel L., and John B. Black. "Analog Imagery in Mental Model Reasoning: Depictive Models." Cognitive Psychology 30, no. 2 (1996): 154–219. http://dx.doi.org/10.1006/cogp.1996.0006.

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11

Rajabali, Beglou Reza, Rahmatollah Fattahi, and Mehri Parirokh. "Development & Evolution of Mental Model in the Context of Information Systems: From General View to Performance Prediction." Library and Information Science Studies 7, no. 2 (2015): 1–18. https://doi.org/10.5281/zenodo.13963509.

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**Objective:** This article aims to introduce the mental models of individuals in the use of information systems as a research area. **Method:** The research method is conceptual analysis. The researcher has conceptualized mental models and the factors influencing them in the context of information systems by reviewing related studies from the perspective of researchers. **Findings and Conclusion:** An examination of the studies reveals that most of them have been conducted with a qualitative approach, utilizing methods such as network analysis and semi-structured interviews. Additionally, des

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12

Bennett, Joel B., Michael Neeper, Brittany D. Linde, Gale M. Lucas, and Lindsay Simone. "Team Resilience Training in the Workplace: E-Learning Adaptation, Measurement Model, and Two Pilot Studies." JMIR Mental Health 5, no. 2 (2018): e35. http://dx.doi.org/10.2196/mental.8955.

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Background The majority of resilience interventions focus on the individual. Workplace resilience is a growing field of research. Given the ever-increasing interconnectedness in businesses, teamwork is a guarantee. There is also growing recognition that resilience functions at the team level. Objective The objective of our work was to address three shortcomings in the study of workplace resilience interventions: lack of interventions focusing on group-level or team resilience, the need for brief interventions, and the need for more theoretical precision in intervention studies. Methods The aut

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Patidar, Teena, and Prof Avinash Sharma. "Study on Social Network Mental Disorder Detection Based Markov Model." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (2019): 415–18. http://dx.doi.org/10.31142/ijtsrd21398.

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14

Guan, Li, Bibo Hao, Qijin Cheng, Paul SF Yip, and Tingshao Zhu. "Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model." JMIR Mental Health 2, no. 2 (2015): e17. http://dx.doi.org/10.2196/mental.4227.

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Background Traditional offline assessment of suicide probability is time consuming and difficult in convincing at-risk individuals to participate. Identifying individuals with high suicide probability through online social media has an advantage in its efficiency and potential to reach out to hidden individuals, yet little research has been focused on this specific field. Objective The objective of this study was to apply two classification models, Simple Logistic Regression (SLR) and Random Forest (RF), to examine the feasibility and effectiveness of identifying high suicide possibility micro

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15

Dewi, Komang Melina, I. Wayan Suja, and I. Dewa Ketut Sastrawidana. "MODEL MENTAL SISWA TENTANG TERMOKIMIA." Jurnal Pendidikan Kimia Undiksha 2, no. 2 (2018): 45. http://dx.doi.org/10.23887/jjpk.v2i2.21165.

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AbstrakPenelitian ini bertujuan mendeskripsikan dan menjelaskan profil model mental dan faktor-faktor penyebab terbentuknya model mental alternatif siswa kelas XI tentang termokimia di SMA Negeri Bali Mandara. Penelitian ini menggunakan mixed methods jenis sekuensial. Pengumpulan data dilakukan dengan observasi, pemberian tes hasil belajar dua tingkat, dan wawancara. Analisis data dilakukan secara deskriptif berdasarkan hubungan antara jawaban siswa dan argumentasinya dengan melibatkan tiga level kimia. Teknik analisis data hasil wawancara meliputi tahap reduksi data, penyajian data, dan penar

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16

Cooke, Nancy J., and Anna L. Rowe. "Evaluating Mental Model Elicitation Methods." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 4 (1994): 261–65. http://dx.doi.org/10.1177/154193129403800416.

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Researchers have developed and applied a number of methods for measuring mental models. Unfortunately not only is the mental model construct ill-defined, but the basic research associated with it offers little guidance concerning the selection of a method for a particular application. In this paper a program of research is presented that is designed address this shortcoming. Specifically, the research involves a comparative evaluation of methods to measure mental models on the basis of the relationship between the method's output (i.e., the mental model) and the criterion of primary importance

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17

Knesek, Gerald, and Thomas Hemphill. "Mental Health Navigation – a Model." Health Promotion International 35, no. 1 (2019): 151–59. http://dx.doi.org/10.1093/heapro/day109.

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Summary The need for mental health care services is a growing concern around the world. This article proposes a conceptual model for the role a mental health care navigator to meet the growing needs of consumers who are seeking greater access to fragmented and confusing mental health care services. This conceptual model proposes integrating mental health into primary care with a more patient-centered approach to the care of the whole person. This approach is congruent with The Ottawa Charter for Health Promotion Charter calling for the reorienting of health services focusing on the total needs

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18

van der Henst, Jean-Baptiste. "Mental model theory and pragmatics." Behavioral and Brain Sciences 23, no. 2 (2000): 283–84. http://dx.doi.org/10.1017/s0140525x00212442.

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Johnson-Laird & Byrne (1991; 1993) present a theory of human deductive reasoning based on the notion of mental models. Unfortunately, the theory is incomplete. The present commentary argues that pragmatic considerations, particularly of the type discussed in Sperber and Wilson (1995), can complement the theory.

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19

Julstrom, Bryant A., and Robert J. Baron. "A model of mental imagery." International Journal of Man-Machine Studies 23, no. 3 (1985): 313–34. http://dx.doi.org/10.1016/s0020-7373(85)80038-9.

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20

Engel, Pascal. "Mental-model theory and rationality." Behavioral and Brain Sciences 16, no. 2 (1993): 345. http://dx.doi.org/10.1017/s0140525x00030387.

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21

Camden, Andrew. "Queering the Mental Health Model." BJPsych Bulletin 43, no. 4 (2019): 188. http://dx.doi.org/10.1192/bjb.2019.45.

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22

Matsui, Hiroyuki, Hiroyuki Yokota, and Yukio Tokunaga. "Mental Model on Telephone Operation." Systems and Computers in Japan 19, no. 12 (1988): 45–53. http://dx.doi.org/10.1002/scj.4690191205.

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23

Kulinich, A. A. "Semiotic Model of Mental Space." Pattern Recognition and Image Analysis 33, no. 3 (2023): 373–82. http://dx.doi.org/10.1134/s1054661823030239.

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24

Frith, Emily, and Paul Loprinzi. "Can Facebook Reduce Perceived Anxiety Among College Students? Randomized Controlled Exercise Trial Using the Transtheoretical Model of Behavior Change." JMIR Mental Health 4, no. 4 (2017): e50. http://dx.doi.org/10.2196/mental.8086.

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Background Recent studies suggest social media may be an attractive strategy to promote mental health and wellness. There remains a need to examine the utility for individually tailored wellness messages posted to social media sites such as Facebook to facilitate positive psychological outcomes. Objective Our aim was to extend the growing body of evidence supporting the potential for social media to enhance mental health. We evaluated the influence of an 8-week social media intervention on anxiety in college students and examined the impact of dynamic (active) versus static (passive) Facebook

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25

Friedman, Scott, Kenneth Forbus, and Bruce Sherin. "Representing, Running, and Revising Mental Models: A Computational Model." Cognitive Science 42, no. 4 (2017): 1110–45. http://dx.doi.org/10.1111/cogs.12574.

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26

Nadjmitdinovich, Nurillayev Bobomurot. "Historical-methodological foundation, mental-model representation, physical theory and ideal experiment." American Journal of Social Science and Education Innovations 7, no. 4 (2025): 62–65. https://doi.org/10.37547/tajssei/volume07issue04-09.

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In the history of the formation and development of scientific thought in the study of natural phenomena and objects, theoretical and experimental approaches remain the main research methods. In this case, the process of knowledge (scientific) priority belongs to the experimental method. As you know, a real experiment “is a matter of decrees before nature” and nature itself answers it.

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27

Karmakar, Chandan, Wei Luo, Truyen Tran, Michael Berk, and Svetha Venkatesh. "Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records." JMIR Mental Health 3, no. 3 (2016): e19. http://dx.doi.org/10.2196/mental.5475.

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Background Although physical illnesses, routinely documented in electronic medical records (EMR), have been found to be a contributing factor to suicides, no automated systems use this information to predict suicide risk. Objective The aim of this study is to quantify the impact of physical illnesses on suicide risk, and develop a predictive model that captures this relationship using EMR data. Methods We used history of physical illnesses (except chapter V: Mental and behavioral disorders) from EMR data over different time-periods to build a lookup table that contains the probability of suici

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28

Huen, Jenny MY, Eliza SY Lai, Angie KY Shum, et al. "Evaluation of a Digital Game-Based Learning Program for Enhancing Youth Mental Health: A Structural Equation Modeling of the Program Effectiveness." JMIR Mental Health 3, no. 4 (2016): e46. http://dx.doi.org/10.2196/mental.5656.

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BackgroundDigital game-based learning (DGBL) makes use of the entertaining power of digital games for educational purposes. Effectiveness assessment of DGBL programs has been underexplored and no attempt has been made to simultaneously model both important components of DGBL: learning attainment (ie, educational purposes of DGBL) and engagement of users (ie, entertaining power of DGBL) in evaluating program effectiveness.ObjectiveThis study aimed to describe and evaluate an Internet-based DGBL program, Professor Gooley and the Flame of Mind, which promotes mental health to adolescents in a pos

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29

O'Dea, Bridianne, Catherine King, Mirjana Subotic-Kerry, Kathleen O'Moore, and Helen Christensen. "School Counselors’ Perspectives of a Web-Based Stepped Care Mental Health Service for Schools: Cross-Sectional Online Survey." JMIR Mental Health 4, no. 4 (2017): e55. http://dx.doi.org/10.2196/mental.8369.

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Background Mental health problems are common among youth in high school, and school counselors play a key role in the provision of school-based mental health care. However, school counselors occupy a multispecialist position that makes it difficult for them to provide care to all of those who are in need in a timely manner. A Web-based mental health service that offers screening, psychological therapy, and monitoring may help counselors manage time and provide additional oversight to students. However, for such a model to be implemented successfully, school counselors’ attitudes toward Web-bas

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30

Lee, young sil, and Kyunghwa Lee. "Development of a Mental Coaching Model (Mental) and Mental Coaching Program for Sports Leaders." Korean Society for the Study of Lifelong Education 26, no. 4 (2020): 139–61. http://dx.doi.org/10.52758/kjle.2020.26.4.139.

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31

Unal, Suat, Gunay Palıc Sadoglu, and Ummu Gulsum Durukan. "TEACHER EDUCATORS’ VIEWS OF “MODEL” CONCEPT AND THEIR MENTAL MODELS." Journal of Baltic Science Education 13, no. 5 (2014): 674–94. http://dx.doi.org/10.33225/jbse/14.13.674.

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The aim of this study is to reveal teacher educators’ views of model and also to determine their mental models about it. Phenomenographic research design has been carried out in this study. The sample of study consists of 14 teacher educators from education faculties of different universities in Turkey. Semi-structured interviews that consisted of 7 questions were used to collect data. Besides, sample was asked draw a concept map on “model” in the last interview question. Results have shown that teacher educators give similar responses including unqualified explanations to the interview questi

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Batlolona, J. R., S. Singerin, and M. Diantoro. "Influence of Problem Based Learning Model on Student Mental Models." Jurnal Pendidikan Fisika Indonesia 16, no. 1 (2020): 14–23. http://dx.doi.org/10.15294/jpfi.v16i1.14253.

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The purpose of this study was to determine the development of mental models (MM) of students as well as to analyze the differences in MM based on the learning model used. This research is expected to be a guide for teachers in exploring the concept of physics as a whole. The study was conducted at the high school level with a medium level school category. The research method used mixed methods embedded experimental models with surface level, matching and deep (SMD) diagnostic test instruments. The results of the study showed that there were an increase on students’ MM at each meeting in the SM

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33

Sifaqui, Christian. "Structuring user interfaces with a meta-model of mental models." Computers & Graphics 23, no. 3 (1999): 323–30. http://dx.doi.org/10.1016/s0097-8493(99)00041-2.

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34

Cheek, Colleen, Theresa Fleming, Mathijs FG Lucassen, et al. "Integrating Health Behavior Theory and Design Elements in Serious Games." JMIR Mental Health 2, no. 2 (2015): e11. http://dx.doi.org/10.2196/mental.4133.

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Background Internet interventions for improving health and well-being have the potential to reach many people and fill gaps in service provision. Serious gaming interfaces provide opportunities to optimize user adherence and impact. Health interventions based in theory and evidence and tailored to psychological constructs have been found to be more effective to promote behavior change. Defining the design elements which engage users and help them to meet their goals can contribute to better informed serious games. Objective To elucidate design elements important in SPARX, a serious game for ad

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35

Yeager, Carolyn M., Kotaro Shoji, Aleksandra Luszczynska, and Charles C. Benight. "Engagement With a Trauma Recovery Internet Intervention Explained With the Health Action Process Approach (HAPA): Longitudinal Study." JMIR Mental Health 5, no. 2 (2018): e29. http://dx.doi.org/10.2196/mental.9449.

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Background There has been a growing trend in the delivery of mental health treatment via technology (ie, electronic health, eHealth). However, engagement with eHealth interventions is a concern, and theoretically based research in this area is sparse. Factors that influence engagement are poorly understood, especially in trauma survivors with symptoms of posttraumatic stress. Objective The aim of this study was to examine engagement with a trauma recovery eHealth intervention using the Health Action Process Approach theoretical model. Outcome expectancy, perceived need, pretreatment self-effic

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Bhalwankar, Rajesh, and Jan Treur. "Modeling learner-controlled mental model learning processes by a second-order adaptive network model." PLOS ONE 16, no. 8 (2021): e0255503. http://dx.doi.org/10.1371/journal.pone.0255503.

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Learning knowledge or skills usually is considered to be based on the formation of an adequate internal mental model as a specific type of mental network. The learning process for such a mental model conceptualised as a mental network, is a form of (first-order) mental network adaptation. Such learning often integrates learning by observation and learning by instruction. For an effective learning process, an appropriate timing of these different elements is crucial. By controlling the timing of them, the mental network adaptation process becomes adaptive itself, which is called second-order me

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37

Venn, Rosemary. "Peplau’s model in mental health nursing." Paediatric Nursing 10, no. 6 (1998): 18–21. http://dx.doi.org/10.7748/paed.10.6.18.s22.

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38

Dan, Naoko, Katsuhito Ishihara, Sakae Yamamoto, and Takaaki Koyazu. "Menu Selection Behavior and Mental Model." Japanese journal of ergonomics 31, Supplement (1995): 210–11. http://dx.doi.org/10.5100/jje.31.supplement_210.

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39

Biley, Francis, and Moira Donlan. "A model for mental handicap nursing." Nursing Standard 4, no. 29 (1990): 36–39. http://dx.doi.org/10.7748/ns.4.29.36.s36.

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40

Iglehart, John K. "Decriminalizing Mental Illness — The Miami Model." New England Journal of Medicine 374, no. 18 (2016): 1701–3. http://dx.doi.org/10.1056/nejmp1602959.

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41

Widaman, Keith F., David C. Geary, Pierre Cormier, and Todd D. Little. "A componential model for mental addition." Journal of Experimental Psychology: Learning, Memory, and Cognition 15, no. 5 (1989): 898–919. http://dx.doi.org/10.1037/0278-7393.15.5.898.

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42

R.J., Ramteke, and Gharde S.S. "COMPUTATIONAL MODEL FOR MENTAL FACTOR CLASSIFICATION." ICTACT Journal on Soft Computing 12, no. 4 (2022): 2685–89. http://dx.doi.org/10.21917/ijsc.2022.0383.

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Artificial Wisdom is advancement of Artificial Intelligence where wisdom should be recognized with the intelligence. Wisdom can be realized by adding values in the positive decisions. This is resulted in to the overall behavior of human being. Behavior can be demonstrated with the help of simulating thought process. Thoughts are generated in the mind along with the mental state. Mental state also known as mental factor is responsible for arousal of different types of thoughts. Ancient Indian cannon Abhidhamm claimed 52 mental factors. These are categorized in three classes such as Ethically Va

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43

Klimoski, Richard, and Susan Mohammed. "Team Mental Model: Construct or Metaphor?" Journal of Management 20, no. 2 (1994): 403–37. http://dx.doi.org/10.1177/014920639402000206.

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Kinderman, Peter. "A Psychological Model of Mental Disorder." Harvard Review of Psychiatry 13, no. 4 (2005): 206–17. http://dx.doi.org/10.1080/10673220500243349.

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Huttenlocher, Janellen, Nancy C. Jordan, and Susan Cohen Levine. "A mental model for early arithmetic." Journal of Experimental Psychology: General 123, no. 3 (1994): 284–96. http://dx.doi.org/10.1037/0096-3445.123.3.284.

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46

Pramesti, Y. S., and I. Setyowidodo. "Students’ mental model in electric current." Journal of Physics: Conference Series 1013 (May 2018): 012024. http://dx.doi.org/10.1088/1742-6596/1013/1/012024.

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Gerard, Jules B. "The Medical Model of Mental Illness." International Journal of Law and Psychiatry 22, no. 1 (1999): 65–78. http://dx.doi.org/10.1016/s0160-2527(98)00015-6.

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Porter, Richard J. "The biopsychosocial model in mental health." Australian & New Zealand Journal of Psychiatry 54, no. 8 (2020): 773–74. http://dx.doi.org/10.1177/0004867420944464.

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Brik, Youcef. "Mental model for handwritten keyword spotting." Journal of Electronic Imaging 27, no. 05 (2018): 1. http://dx.doi.org/10.1117/1.jei.27.5.053027.

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Uitdewilligen, Sjir, Mary J. Waller, and Adrian H. Pitariu. "Mental Model Updating and Team Adaptation." Small Group Research 44, no. 2 (2013): 127–58. http://dx.doi.org/10.1177/1046496413478205.

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