Academic literature on the topic 'Creative intelligence'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Creative intelligence.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Creative intelligence"
Samet, Kaies, and Frédéric Teulon. "Creative intelligence." International Journal of Behavioural Accounting and Finance 3, no. 3/4 (2012): 127. http://dx.doi.org/10.1504/ijbaf.2012.052160.
Full textDolliver, B. Kemp. "Creative Intelligence Gathering." AIMR Conference Proceedings 1998, no. 2 (May 1998): 8–15. http://dx.doi.org/10.2469/cp.v1998.n2.3.
Full textBurton, Judith M. "Creative Intelligence, Creative Practice: Lowenfeld Redux." Studies in Art Education 50, no. 4 (July 2009): 323–37. http://dx.doi.org/10.1080/00393541.2009.11518779.
Full textHidayah, Rofik Andi. "PENGEMBANGAN MULTIPLE INTELLIGENCES MELALUI PEMBELAJARAN KREATIF DI RUMAH KREATIF WADAS KELIR (RKWK) KELURAHAN KARANGKLESEM RT 07/05 KECAMATAN PURWOKERTO SELATAN KABUPATEN BANYUMAS." Jurnal Penelitian Agama 16, no. 2 (September 10, 2015): 267–82. http://dx.doi.org/10.24090/jpa.v16i2.2015.pp267-282.
Full textSordia, Natia, Khatuna Martskvishvili, and Aljoscha Neubauer. "From Creative Potential to Creative Achievements." Swiss Journal of Psychology 78, no. 3-4 (August 2019): 115–23. http://dx.doi.org/10.1024/1421-0185/a000227.
Full textMujib, Mujib. "Penjenjangan Kemampuan Berpikir Kritis Matematis Berdasarkan Teori Bloom Ditinjau Dari Kecerdasan Multiple Intelligences." Desimal: Jurnal Matematika 2, no. 1 (January 31, 2019): 87–103. http://dx.doi.org/10.24042/djm.v2i1.3534.
Full textMyoo, Sidey. "Creative Robots." Annales Universitatis Paedagogicae Cracoviensis. Studia de Arte et Educatione 14, no. 304 (January 18, 2022): 30–39. http://dx.doi.org/10.24917/20813325.14.3.
Full textMaccoby, Michael. "Creative Downsizing Requires Strategic Intelligence." Research-Technology Management 51, no. 4 (July 2008): 60–61. http://dx.doi.org/10.1080/08956308.2008.11657515.
Full textShi, Jiannong. "Intelligence current in creative activities1." High Ability Studies 15, no. 2 (December 2004): 173–87. http://dx.doi.org/10.1080/1359813042000314763.
Full textKarwowski, Maciej, Marta Czerwonka, and James C. Kaufman. "Does intelligence strengthen creative metacognition?" Psychology of Aesthetics, Creativity, and the Arts 14, no. 3 (August 2020): 353–60. http://dx.doi.org/10.1037/aca0000208.
Full textDissertations / Theses on the topic "Creative intelligence"
Cully, Antoine. "Creative Adaptation through Learning." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066664/document.
Full textRobots have transformed many industries, most notably manufacturing, and have the power to deliver tremendous benefits to society, for example in search and rescue, disaster response, health care, and transportation. They are also invaluable tools for scientific exploration of distant planets or deep oceans. A major obstacle to their widespread adoption in more complex environments and outside of factories is their fragility. While animals can quickly adapt to injuries, current robots cannot “think outside the box” to find a compensatory behavior when they are damaged: they are limited to their pre-specified self-sensing abilities, which can diagnose only anticipated failure modes and strongly increase the overall complexity of the robot. In this thesis, we propose a different approach that considers having robots learn appropriate behaviors in response to damage. However, current learning techniques are slow even with small, constrained search spaces. To allow fast and creative adaptation, we combine the creativity of evolutionary algorithms with the learning speed of policy search algorithms through three contributions: the behavioral repertoires, the damage recovery using these repertoires and the transfer of knowledge across tasks. Globally, this work aims to provide the algorithmic foundations that will allow physical robots to be more robust, effective and autonomous
Mzenda, Bongile. "Computational intelligence margin models for radiotherapeutic cancer treatment." Thesis, University of Portsmouth, 2011. https://researchportal.port.ac.uk/portal/en/theses/computational-intelligence-margin-models-for-radiotherapeutic-cancer-treatment(c91a87fd-a7af-416d-9336-ada908feda33).html.
Full textHagtvedt, Lydia Paine. "Creating Artificial Intelligence: An Inductive Study of How Creative Workers Forecast the Future and Manage Present Emotions." Thesis, Boston College, 2019. http://hdl.handle.net/2345/bc-ir:108640.
Full textThesis advisor: Michael G. Pratt
Through an inductive, qualitative study of individuals developing new artificial intelligence (AI) technologies, this dissertation builds theory on how creative workers manage the emotions that arise from forecasting the outcomes of implementing their creations. I find that, in a context that illuminates the danger of implementing certain types of creative ideas, creative workers forecast both positive and negative outcomes arising from implementing their work, which elicits ambivalence. My work indicates that how creative workers respond to this ambivalence affects whether they impose constraints on their work as it unfolds. First, some individuals may proceed without constraints because they have resolved their ambivalence by amplifying their positive thoughts and feelings toward their work. Informants who exhibited this pattern created psychological distance (Lewin, 1951; Trope & Liberman, 2003) from the potential negative effects of their work by anchoring on the present moment and/or emphasizing potential positive outcomes. However, the majority of informants exhibited a novel “redistribution” response to ambivalence, whereby they committed to their work (Brickman et al., 1987; Pratt & Rosa, 2003; Pratt & Pradies, 2011) and shifted from a strengthening of negative thoughts and feelings toward a strengthening of positive thoughts and feelings through the use of self-imposed constraints. My work suggests that, although self-imposed constraints do not eliminate negative thoughts and feelings altogether, applying these self-determined boundaries enables individuals to reduce ambivalence and engage (Harter, Schmidt, & Hayes, 2002) more fully in their work. In addition to inducing a process model that encompasses these dynamics, I present the categories and types of self-imposed constraints that I have induced. These self-imposed constraints are not mutually exclusive, and each serves one of three broader purposes: developing a sense that one’s creation will have a positive moral valence, that one will be able to control his or her creation, or that one may trust in the quality of his or her creation. This dissertation extends theory on the role of prospective thought processes in creative work and shows how constraints, though often seen as impediments to creativity, can be used proactively by creative workers to manage the darker emotions and thought processes that have largely been overlooked in prior research. This work also contributes a novel response to ambivalence, redistribution, which entails approaching potentially harmful creative work in a heedful manner
Thesis (PhD) — Boston College, 2019
Submitted to: Boston College. Carroll School of Management
Discipline: Management and Organization
Jungmann, Manuela. "Embodied creativity : a process continuum from artistic creation to creative participation." Thesis, University of Sussex, 2011. http://sro.sussex.ac.uk/id/eprint/7374/.
Full textTaylor, Madeline. "Technical skill, emotional intelligence, and creative labour: The collaborative work of costume realisation." Thesis, University of Melbourne, 2021. https://minerva-access.unimelb.edu.au/handle/11343/295015.
Full textThe thesis hypothesises that costume technicians’ work in design realisation has three main domains: technical, emotional, and creative. In this thesis, I argue the importance and contribution of technicians’ emotional intelligence and creative labour, alongside their technical skills, in their collaboration with designers. I evidence this through exploring these two domains’ deployment in the collaborative mechanisms of costume design development.
Linguistic ethnography is used to investigate this topic. As a methodology, linguistic ethnography marries ethnographic fieldwork with linguistic analysis, which I supplement with interviews with industry practitioners and extensive design theory. Comprehensive ethnographic studies of three sizeable Australian theatre costume workshops enable a detailed examination of costume design realisation and the collaborative partnership of costume technicians and designers. This generative methodology is novel to the costume field and establishing its value for costume research is one of the new knowledge contributions this thesis makes.
This thesis contributes to costume practice and research through its explication of costume realisation’s collaborative processes. Three key findings emerged from the study. Firstly, the importance of the costume community of practice in learning the values, behaviours and boundaries of creative decision making, secondly the creative contributions costume technicians make to the design development during the costume realisation process due to their interpretive role, and thirdly how the strict hierarchies of costume labour are negotiated by the people working within them. It further identifies several collaborative mechanisms consistently used in costume realisation to simultaneously align collaborator’s various interpretations of the intended design and the trust between them. Overall, this thesis enables an expanded understanding of the design realisation process, and the emotional intelligence and creative judgement required by costume work.
Camfield, David Alan. "The biological basis of openness to experience." Swinburne Research Bank, 2008. http://hdl.handle.net/1959.3/49815.
Full text[A thesis submitted for the degree of] Doctor of Philosophy, Brain Sciences Institute, Swinburne University of Technology - 2008. Typescript. Includes bibliographical references (p. 250-272) and index.
Eliasson, John. "Samband mellan kreativitet och timingvariabilitet, kontrollerat för intelligens och personlighet." Thesis, Umeå universitet, Institutionen för psykologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-174448.
Full textCreativity is one of the most desired and valued human abilities, particularly within art, technology and science. Scientific studies of creativity exhibit weak associations with personality as well as intelligence, traits that are otherwise strong predictors for achievement. Creativity is, however, reasonably linked to some performance aspect of brains function. One such aspect is timing ability, behaviours and assessments that include time and temporal precision. The purpose of this study was to assess whether creativity is associated with creativity, controlling for intelligence and personality. Guilford’s Alternative Uses Task was used for measuring creative originality and Inventory of Creative Activities and Achievements was used for measuring creative effectiveness for 66 participants between 20 and 40 years of age, who were also tested for timing ability, psychometric intelligence, and personality (the Big Five). While there was a significant correlation between creative effectiveness and timing, multiple regression showed that the personality dimension openness (O) explained most of the variance (R2 = 13%), wherewith timing accounted for 2% of about 30% explained variance for all other variables. Creative originality exhibited no significant correlations with any other variable. Further research on traits that may influence creativity is desirable.
Goodman, Genghis. "A Machine Learning Approach to Artificial Floorplan Generation." UKnowledge, 2019. https://uknowledge.uky.edu/cs_etds/89.
Full textParde, Natalie. "Reading with Robots: A Platform to Promote Cognitive Exercise through Identification and Discussion of Creative Metaphor in Books." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248384/.
Full textBrown, Natalie. "Art and consciousness in light of Maharishi Vedic science." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2011. https://ro.ecu.edu.au/theses/378.
Full textBooks on the topic "Creative intelligence"
L, Gregory R., Marstrand Pauline, and British Association for the Advancement of Science., eds. Creative intelligences. Norwood, N.J: Ablex Pub. Corp., 1987.
Find full text1950-, Ambrose Donald, Cohen Leonora M, and Tannenbaum Abraham J, eds. Creative intelligence: Toward theoretic integration. Cresskill, N.J: Hampton Press, 2003.
Find full textAmbrose, Don, and Robert J. Sternberg, eds. Creative Intelligence in the 21st Century. Rotterdam: SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-506-7.
Full textSuccessful intelligence: How practical and creative intelligence determine success in life. New York: Simon & Schuster, 1996.
Find full textSuccessful intelligence: How practical and creative intelligence determine success in life. New York: Plume, 1997.
Find full textGoria, Stéphane. Methods and Tools for Creative Competitive Intelligence. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119427469.
Full textBoden, Margaret A. The creative mind: Myths & mechanisms. New York, N.Y: Basic Books, 1991.
Find full textBoden, Margaret A. The creative mind: Myths & mechanisms. London: Weidenfeld and Nicolson, 1990.
Find full textDavid, Corne, ed. Creative evolutionary systems. San Francisco, CA: Morgan Kaufmann, 2002.
Find full textBook chapters on the topic "Creative intelligence"
Jónsdóttir, Svanborg Rannveig, and Rósa Gunnarsdóttir. "Creative Intelligence for Intelligent Creations." In The Road to Independence, 35–44. Rotterdam: SensePublishers, 2017. http://dx.doi.org/10.1007/978-94-6300-800-6_5.
Full textMarchesini, Roberto. "Plural Intelligence." In The Creative Animal, 319–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07414-1_11.
Full textWalsh, Toby. "Creative Proof Planning." In Artificial Intelligence and Creativity, 181–93. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-0793-0_12.
Full textNagao, Katashi. "Creative Meeting Support." In Artificial Intelligence Accelerates Human Learning, 57–75. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6175-3_3.
Full textVarghese, Mathew. "Creative Work Versus Artificial Intelligence." In A Brief History of Creative Work and Plutonomy, 85–88. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9263-8_13.
Full textde Villiers, Rouxelle. "A World of Creative Intelligence." In The Handbook of Creativity & Innovation in Business, 3–24. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2180-3_1.
Full textOhno, Terufumi. "Museum Workshop: Evolution of Human Intelligence and Education." In Creative Complex Systems, 55–69. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4457-3_4.
Full textMiranda, Eduardo Reck. "Creative Music Neurotechnology." In Handbook of Artificial Intelligence for Music, 195–236. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72116-9_8.
Full textde Villiers, Rouxelle. "Creative Genii: Creative Intelligence, Insight and the Six Ps." In The Handbook of Creativity & Innovation in Business, 51–76. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2180-3_3.
Full textSun, K., and B. Faltings. "Supporting Creative Mechanical Design." In Artificial Intelligence in Design ’94, 39–56. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0928-4_3.
Full textConference papers on the topic "Creative intelligence"
Eber, Wolfgang. "Artificial Intelligence in Construction Management – a Perspective." In Creative Construction Conference 2019. Budapest University of Technology and Economics, 2019. http://dx.doi.org/10.3311/ccc2019-030.
Full textChunyaem, Weerayut, Chayakrit Charoensiriwath, Kriengsak Panuwatwanich, Shigeki Saito, and Patai Padungtin. "Application of Artificial Intelligence to Automate Construction Materials Data Classification." In Creative Construction Conference 2019. Budapest University of Technology and Economics, 2019. http://dx.doi.org/10.3311/ccc2019-002.
Full textXu, Shen, Weizi Li, Llewellyn CM Tang, Lin Yang, and Qiang Tang. "Artificial intelligence assisted professional work in BIM: A machine reasoning extension." In Creative Construction Conference 2018. Budapest University of Technology and Economics, 2018. http://dx.doi.org/10.3311/ccc2018-003.
Full textLiphadzi, M., Clinton O. Aigbavboa, Wellington D. Thwala, and T. Kwofie. "Construction Experts’ Perceptions on the Influence Of Emotional Intelligence on Leadership Development." In Creative Construction Conference 2019. Budapest University of Technology and Economics, 2019. http://dx.doi.org/10.3311/ccc2019-036.
Full textAmerika, Mark, Laura Hyunjhee Kim, and Brad Gallagher. "Fatal Error: Artificial Creative Intelligence (ACI)." In CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3334480.3381815.
Full textMaiden, Neil, and Konstantinos Zachos. "A creative intelligence tool for journalists." In C&C '22: Creativity and Cognition. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3527927.3535201.
Full textIstván, Hajnal. "Real Estate MSc Curriculum in the New Era of Artificial Intelligence." In Creative Construction e-Conference 2020. Online: Budapest University of Technology and Economics, 2020. http://dx.doi.org/10.3311/ccc2020-035.
Full text"Creation of Creative Work Teams using Multi-Agent based Social Simulation." In International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004240302110218.
Full textSouhail, Elhouar, Hochscheid Elodie, Alzarrad M. Ammar, and Emanuels Chance. "Will Artificial Intelligence (AI) Take over the Construction World? - A Multidisciplinary Exploration." In Creative Construction e-Conference 2020. Online: Budapest University of Technology and Economics, 2020. http://dx.doi.org/10.3311/ccc2020-010.
Full textKulbizhekov, V. "ARTIFICIAL INTELLIGENCE AND MUSIC: A DIALOGUE OF OPPOSITES?" In Aesthetics and Hermeneutics. LCC MAKS Press, 2022. http://dx.doi.org/10.29003/m2549.978-5-317-06726-7/70-74.
Full textReports on the topic "Creative intelligence"
Jung, Dongjin, Hyosun An, and Minjung Park. Analysis of Gucci Runway Images Using an Artificial Intelligence Based Visual Search Tool: A Comparison of Fashion Styles by Creative Directors. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8264.
Full textNezhyva, Liudmyla L., Svitlana P. Palamar, and Oksana S. Lytvyn. Perspectives on the use of augmented reality within the linguistic and literary field of primary education. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4415.
Full textRuff, Grigory, and Tatyana Sidorina. THE DEVELOPMENT MODEL OF ENGINEERING CREATIVITY IN STUDENTS OF MILITARY INSTITUTIONS. Science and Innovation Center Publishing House, December 2020. http://dx.doi.org/10.12731/model_of_engineering_creativity.
Full textBustelo, Monserrat, Pablo Egana-delSol, Laura Ripani, Nicolas Soler, and Mariana Viollaz. Automation in Latin America: Are Women at Higher Risk of Losing Their Jobs? Inter-American Development Bank, August 2020. http://dx.doi.org/10.18235/0002566.
Full textDaniels, Matthew, Autumn Toney, Melissa Flagg, and Charles Yang. Machine Intelligence for Scientific Discovery and Engineering Invention. Center for Security and Emerging Technology, May 2021. http://dx.doi.org/10.51593/20200099.
Full textYatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.
Full textToney, Autumn, and Melissa Flagg. U.S. Demand for AI-Related Talent. Center for Security and Emerging Technology, August 2020. http://dx.doi.org/10.51593/20200027.
Full textRaychev, Nikolay. Can human thoughts be encoded, decoded and manipulated to achieve symbiosis of the brain and the machine. Web of Open Science, October 2020. http://dx.doi.org/10.37686/nsrl.v1i2.76.
Full textWilson, D., Daniel Breton, Lauren Waldrop, Danney Glaser, Ross Alter, Carl Hart, Wesley Barnes, et al. Signal propagation modeling in complex, three-dimensional environments. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40321.
Full textLewis, Dustin, ed. A Compilation of Materials Apparently Reflective of States’ Views on International Legal Issues pertaining to the Use of Algorithmic and Data-reliant Socio-technical Systems in Armed Conflict. Harvard Law School Program on International Law and Armed Conflict, December 2020. http://dx.doi.org/10.54813/cawz3627.
Full text