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Canessa, E., Chaigneau, S., & Barra, C. (2018). Developing and calibrating an ABM of the property listing task. In Proceedings de la 32nd European Council for Modelling and Simulation, ECMS 2018 (Vol. 2018, pp. 13–19).
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Canessa, E., & Chaigneau, S. E. (2020). Mathematical regularities of data from the property listing task. J. Math. Psychol., 97, 19 pp.
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Canessa, E., Chaigneau, S. E., Moreno, S., & Lagos, R. (2023). CPNCoverageAnalysis: An R package for parameter estimation in conceptual properties norming studies. Behav. Res. Methods, 55, 554–569.
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Canessa, E., Chaigneau, S. E., Lagos, R., & Medina, F. A. (2021). How to carry out conceptual properties norming studies as parameter estimation studies: Lessons from ecology. Behav. Res. Methods, 53, 354–370.
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Canessa, E. C., & Chaigneau, S. E. (2016). When are concepts comparable across minds? Qual. Quant., 50(3), 1367–1384.
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Chaigneau, S. E., Canessa, E., Barra, C., & Lagos, R. (2018). The role of variability in the property listing task. Behav. Res. Methods, 50(3), 972–988.
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Lagos, R., Canessa, E., & Chaigneau, S. E. (2019). Modeling stereotypes and negative self-stereotypes as a function of interactions among groups with power asymmetries. J. Theory Soc. Behav., 49(3), 312–333.
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Canessa, E., & Chaigneau, S. (2014). The dynamics of social agreement according to Conceptual Agreement Theory. Qual. Quant., 48(6), 3289–3309.
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Canessa, E., Droop, C., & Allende, H. (2012). An improved genetic algorithm for robust design in multivariate systems. Qual. Quant., 46(2), 665–678.
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Canessa, E., Chaigneau, S. E., & Moreno, S. (2021). Language processing differences between blind and sighted individuals and the abstract versus concrete concept difference. Cogn. Sci., 45(10), e13044.
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Allende, H., Bravo, D., & Canessa, E. (2010). Robust design in multivariate systems using genetic algorithms. Qual. Quant., 44(2), 315–332.
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Canessa, E., Vera, S., & Allende, H. (2012). A new method for estimating missing values for a genetic algorithm used in robust design. Eng. Optimiz., 44(7), 787–800.
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Chaigneau, S. E., Puebla, G., & Canessa, E. C. (2016). Why the designer's intended function is central for proper function assignment and artifact conceptualization: Essentialist and normative accounts. Dev. Rev., 41, 38–50.
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Canessa, E., & Chaigneau, S. (2017). Response surface methodology for estimating missing values in a pareto genetic algorithm used in parameter design. Ing. Invest., 37(2), 89–98.
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Chaigneau, S. E., Canessa, E., & Gaete, J. (2012). Conceptual agreement theory. New Ideas Psychol., 30(2), 179–189.
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Yushimito, W. F., Alves, P. N., Canessa, E., & de Mateo, F. (2018). Relating Efficiency With Service Compliance Indices In Public Transportation Using Slack-Based Measure Data Envelopment Analysis And Shadow Prices. Promet, 30(6), 661–670.
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Canessa, E., & Chaigneau, S. (2015). Calibrating Agent-Based Models Using a Genetic Algorithm. Stud. Inform. Control, 24(1), 79–90.
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Marchant, N., Canessa, E., & Chaigneau, S. E. (2022). An adaptive linear filter model of procedural category learning. Cogn. Process., 23(3), 393–405.
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Canessa, E., & Riolo, R. L. (2006). An agent-based model of the impact of computer-mediated communication on organizational culture and performance: an example of the application of complex systems analysis tools to the study of CIS. J. Inf. Technol., 21(4), 272–283.
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Canessa, E., Chaigneau, S. E., Moreno, S., & Lagos, R. (2020). Informational content of cosine and other similarities calculated from high-dimensional Conceptual Property Norm data. Cogn. Process., 21, 601–614.
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