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Author (up) Allende, H.; Bravo, D.; Canessa, E.
Title Robust design in multivariate systems using genetic algorithms Type
Year 2010 Publication Quality & Quantity Abbreviated Journal Qual. Quant.
Volume 44 Issue 2 Pages 315-332
Keywords Robust design; Taguchi methods; Genetic algorithms; Desirability functions
Abstract This paper presents a methodology based oil genetic algorithms, which finds feasible and reasonably adequate Solutions to problems of robust design in multivariate systems. We use a genetic algorithm to determine the appropriate control factor levels for simultaneously optimizing all of the responses of the system, considering the noise factors which affect it. The algorithm is guided by a desirability function which works with only one fitness function although the system May have many responses. We validated the methodology using data obtained from a real system and also from a process simulator, considering univariate and multivariate systems. In all cases, the methodology delivered feasible solutions, which accomplished the goals of robust design: obtain responses very close to the target values of each of them, and with minimum variability. Regarding the adjustment of the mean of each response to the target value, the algorithm performed very well. However, only in some of the multivariate cases, the algorithm was able to significantly reduce the variability of the responses.
Address [Allende, Hector; Bravo, Daniela; Canessa, Enrique] Univ Adolfo Ibanez, Fac Ciencia & Tecnol, Balmaceda 1620, Vina Del Mar, Chile, Email: hallende@uai.cl
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0033-5177 ISBN Medium
Area Expedition Conference
Notes WOS:000275327300008 Approved
Call Number UAI @ eduardo.moreno @ Serial 82
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Author (up) Allende-Cid, H.; Canessa, E.; Quezada, A.; Allende, H.
Title An Improved Fuzzy Rule-Based Automated Trading Agent Type
Year 2011 Publication Studies In Informatics And Control Abbreviated Journal Stud. Inform. Control
Volume 20 Issue 2 Pages 135-142
Keywords Automated Trading Agents; Fuzzy Rule-based Agents
Abstract In this paper an improved Fuzzy Rule-Based Trading Agent is presented. The proposal consists in adding machine-learning-based methods to improve the overall performance of an automated agent that trades in futures markets. The modified Fuzzy Rule-Based Trading Agent has to decide whether to buy or sell goods, based on the spot and futures time series, gaining a profit from the price speculation. The proposal consists first in changing the membership functions of the fuzzy inference model (Gaussian and Sigmoidal, instead of triangular and trapezoidal). Then using the NFAR (Neuro-Fuzzy Autoregressive) model the relevant lags of the time series are detected, and finally a fuzzy inference system (Self-Organizing Neuro-Fuzzy Inference System) is implemented to aid the decision making process of the agent. Experimental results demonstrate that with the addition of these techniques, the improved agent considerably outperforms the original one.
Address [Allende-Cid, H; Allende, H] Univ Tecn Federico Santa Maria, Dept Informat, Valparaiso 2390123, Chile, Email: vector@inf.utfsm.cl
Corporate Author Thesis
Publisher Natl Inst R&D Informatics-Ici Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1220-1766 ISBN Medium
Area Expedition Conference
Notes WOS:000292015600006 Approved
Call Number UAI @ eduardo.moreno @ Serial 157
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Author (up) Canals, C.; Maroulis, S.; Canessa, E.; Chaigneau, S.; Mizala, A.
Title Mechanisms Underlying Choice-Set Formation: The Case of School Choice in Chile Type
Year 2022 Publication Social Science Computer Review Abbreviated Journal Soc. Sci. Comput. Rev.
Volume Early Access Issue Pages
Keywords awareness set, decision-making, computational modeling, social networks, school choice, education markets, information sources
Abstract Many decisions involve selecting among many more options than an individual can effectively examine and consider. Therefore, people usually consider smaller and different “choice sets” as viable options. To better understand the processes affecting choice-set formation, we developed a computational model of how households become aware of potential choices in a context for which understanding household decision-making has important public policy implications: market-based reforms in education. In the model, households learn about the schools to which they can send their children through three mechanisms: find out about geographically proximate schools, access to publicly available information, and information gathered from interactions with other households. We calibrated the model using data from four cities in Chile, where students are not required to attend their neighborhood school. We then used the model to conduct hypothetical computational experiments that assessed how each mechanism impacted the sets of schools known to households before they make their choice (their “awareness set”). We found that the inclusion of a social interaction mechanism was crucial for producing simulated awareness sets that matched the awareness sets provided in a survey conducted by the Chilean Ministry of Education. We also found that the social interaction mechanism played the largest role in determining the quality and price range of the choices available in households’ awareness sets. Our findings highlight the importance of social interactions in a stage of decision-making before the direct impact of other individuals is typically made explicit. Moreover, it validates an approach that can be used in future models where understanding how decision-makers become aware of their options may be as important as the way they choose among them.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0894-4393 ISBN Medium
Area Expedition Conference
Notes Approved
Call Number UAI @ alexi.delcanto @ Serial 1565
Permanent link to this record
 
 
Author (up) Canessa, E.; Chaigneau, S.
Title Response surface methodology for estimating missing values in a pareto genetic algorithm used in parameter design Type
Year 2017 Publication Ingenieria E Investigacion Abbreviated Journal Ing. Invest.
Volume 37 Issue 2 Pages 89-98
Keywords Robust design; parameter design; pareto genetic algorithm; response surface methodology
Abstract We present an improved Pareto Genetic Algorithm (PGA), which finds solutions to problems of robust design in multi-response systems with 4 responses and as many as 10 control and 5 noise factors. Because some response values might not have been obtained in the robust design experiment and are needed in the search process, the PGA uses Response Surface Methodology (RSM) to estimate them. Not only the PGA delivered solutions that adequately adjusted the response means to their target values, and with low variability, but also found more Pareto efficient solutions than a previous version of the PGA. This improvement makes it easier to find solutions that meet the trade-off among variance reduction, mean adjustment and economic considerations. Furthermore, RSM allows estimating outputs' means and variances in highly non-linear systems, making the new PGA appropriate for such systems.
Address [Canessa, Enrique] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Santiago, Chile, Email: ecanessa@uai.cl;
Corporate Author Thesis
Publisher Univ Nac Colombia, Fac Ingenieria Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0120-5609 ISBN Medium
Area Expedition Conference
Notes WOS:000408441100012 Approved
Call Number UAI @ eduardo.moreno @ Serial 760
Permanent link to this record
 
 
Author (up) Canessa, E.; Chaigneau, S.
Title Calibrating Agent-Based Models Using a Genetic Algorithm Type
Year 2015 Publication Studies In Informatics And Control Abbreviated Journal Stud. Inform. Control
Volume 24 Issue 1 Pages 79-90
Keywords Agent-based modelling; genetic algorithms; calibration; validation; relational equivalence; complex adaptive systems
Abstract We present a Genetic Algorithm (GA)-based tool that calibrates Agent-based Models (ABMs). The GA searches through a user-defined set of input parameters of an ABM, delivering values for those parameters so that the output time series of an ABM may match the real system's time series to certain precision. Once that set of possible values has been available, then a domain expert can select among them, the ones that better make sense from a practical point of view and match the explanation of the phenomenon under study. In developing the GA, we have had three main goals in mind. First, the GA should be easily used by non-expert computer users and allow the seamless integration of the GA with different ABMs. Secondly, the GA should achieve a relatively short convergence time, so that it may be practical to apply it to many situations, even if the corresponding ABMs exhibit complex dynamics. Thirdly, the GA should use a few data points of the real system's time series and even so, achieve a sufficiently good match with the ABM's time series to attaining relational equivalence between the real system under study and the ABM that models it. That feature is important since social science longitudinal studies commonly use few data points. The results show that all of those goals have been accomplished.
Address [Canessa, Enrique] Univ Adolfo Ibanez, CINCO, Fac Ingn & Ciencias, Vina Del Mar, Chile, Email: ecanessa@uai.cl;
Corporate Author Thesis
Publisher Natl Inst R&D Informatics-Ici Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1220-1766 ISBN Medium
Area Expedition Conference
Notes WOS:000351892900009 Approved
Call Number UAI @ eduardo.moreno @ Serial 481
Permanent link to this record
 
 
Author (up) Canessa, E.; Chaigneau, S.
Title The dynamics of social agreement according to Conceptual Agreement Theory Type
Year 2014 Publication Quality & Quantity Abbreviated Journal Qual. Quant.
Volume 48 Issue 6 Pages 3289-3309
Keywords Conceptual Agreement Theory; Agent-based modeling; Conceptual diversity; Dynamics of conceptual development
Abstract Many social phenomena can be viewed as processes in which individuals in social groups develop agreement (e.g., public opinion, the spreading of rumor, the formation of social and linguistic conventions). Conceptual Agreement Theory (CAT) models social agreement as a simplified communicational event in which an Observer and Actor exchange ideas about a concept , and where uses that information to infer whether 's conceptual state is the same as its own (i.e., to infer agreement). Agreement may be true (when infers that is thinking and this is in fact the case, event ) or illusory (when infers that is thinking and this is not the case, event ). In CAT, concepts that afford or become more salient in the minds of members of social groups. Results from an agent-based model (ABM) and probabilistic model that implement CAT show that, as our conceptual analyses suggested would be the case, the simulated social system selects concepts according to their usefulness to agents in promoting agreement among them (Experiment 1). Furthermore, the ABM exhibits more complex dynamics where similar minded agents cluster and are able to retain useful concepts even when a different group of agents discards them (Experiment 2). We discuss the relevance of CAT and the current findings for analyzing different social communication events, and suggest ways in which CAT could be put to empirical test.
Address [Canessa, Enrique] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Vina Del Mar, Chile, Email: ecanessa@uai.cl;
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0033-5177 ISBN Medium
Area Expedition Conference
Notes WOS:000343294900024 Approved
Call Number UAI @ eduardo.moreno @ Serial 418
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Author (up) Canessa, E.; Chaigneau, S.; Barra, C.
Title Developing and calibrating an ABM of the property listing task Type
Year 2018 Publication Proceedings de la 32nd European Council for Modelling and Simulation, ECMS 2018 Abbreviated Journal ECMS 2018
Volume 2018 Issue Pages 13-19
Keywords
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2522-2414 ISBN Medium
Area Expedition Conference
Notes Approved
Call Number UAI @ eduardo.moreno @ Serial 1290
Permanent link to this record
 
 
Author (up) Canessa, E.; Chaigneau, S.E.
Title Mathematical regularities of data from the property listing task Type
Year 2020 Publication Journal Of Mathematical Psychology Abbreviated Journal J. Math. Psychol.
Volume 97 Issue Pages 19 pp
Keywords Concepts; Property listing task; Conceptual properties norms; Semantic access
Abstract To study linguistically coded concepts, researchers often resort to the Property Listing Task (PLT). In a PLT, participants are asked to list properties that describe a concept (e.g., for DOG, subjects may list “is a pet”, “has four legs”, etc.), which are then coded into property types (i.e., superficially dissimilar properties such as “has four legs” and “is a quadruped” may be coded as “four legs”). When the PLT is done for many concepts, researchers obtain Conceptual Properties Norms (CPNs), which are used to study semantic content and as a source of control variables. Though the PLT and CPNs are widely used across psychology, there is a lack of a formal model of the PLT, which would provide better analysis tools. Particularly, nobody has attempted analyzing the PLT's listing process. Thus, in the current work we develop a mathematical description of the PLT. Our analyses indicate that several regularities should be found in the observable data obtained from a PLT. Using data from three different CPNs (from 3 countries and 2 different languages), we show that these regularities do in fact exist and generalize well across different CPNs. Overall, our results suggest that the description of the regularities found in PLT data may be fruitfully used in the study of concepts. (C) 2020 Elsevier Inc. All rights reserved.
Address [Canessa, Enrique; Chaigneau, Sergio E.] Univ Adolfo Ibanez, Ctr Cognit Res CINCO, Sch Psychol, Av Presidente Errazuriz 3328, Santiago, Chile, Email: ecanessa@uai.cl
Corporate Author Thesis
Publisher Academic Press Inc Elsevier Science Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0022-2496 ISBN Medium
Area Expedition Conference
Notes WOS:000539438000007 Approved
Call Number UAI @ eduardo.moreno @ Serial 1192
Permanent link to this record
 
 
Author (up) Canessa, E.; Chaigneau, S.E.; Lagos, R.; Medina, F.A.
Title How to carry out conceptual properties norming studies as parameter estimation studies: Lessons from ecology Type
Year 2021 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods
Volume 53 Issue Pages 354–370
Keywords Conceptual properties norming studies; Property listing task; Parameter estimation; Sample size determination; Sample coverage
Abstract Conceptual properties norming studies (CPNs) ask participants to produce properties that describe concepts. From that data, different metrics may be computed (e.g., semantic richness, similarity measures), which are then used in studying concepts and as a source of carefully controlled stimuli for experimentation. Notwithstanding those metrics' demonstrated usefulness, researchers have customarily overlooked that they are only point estimates of the true unknown population values, and therefore, only rough approximations. Thus, though research based on CPN data may produce reliable results, those results are likely to be general and coarse-grained. In contrast, we suggest viewing CPNs as parameter estimation procedures, where researchers obtain only estimates of the unknown population parameters. Thus, more specific and fine-grained analyses must consider those parameters' variability. To this end, we introduce a probabilistic model from the field of ecology. Its related statistical expressions can be applied to compute estimates of CPNs' parameters and their corresponding variances. Furthermore, those expressions can be used to guide the sampling process. The traditional practice in CPN studies is to use the same number of participants across concepts, intuitively believing that practice will render the computed metrics comparable across concepts and CPNs. In contrast, the current work shows why an equal number of participants per concept is generally not desirable. Using CPN data, we show how to use the equations and discuss how they may allow more reasonable analyses and comparisons of parameter values among different concepts in a CPN, and across different CPNs.
Address [Canessa, Enrique; Chaigneau, Sergio E.] Univ Adolfo Ibanez, Sch Psychol, Ctr Cognit Res CINCO, Av Presidente Errazuriz 3328, Santiago, Chile, Email: ecanessa@uai.cl
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1554-351x ISBN Medium
Area Expedition Conference
Notes WOS:000551760700002 Approved
Call Number UAI @ eduardo.moreno @ Serial 1210
Permanent link to this record
 
 
Author (up) Canessa, E.; Chaigneau, S.E.; Marchant, N.
Title Use of Agent-Based Modeling (ABM) in Psychological Research Type
Year 2023 Publication Trends and Challenges in Cognitive Modeling Abbreviated Journal Trends and Challenges in Cognitive Modeling
Volume Early Access Issue Pages 7-20
Keywords Agent-based modeling (ABM); Psychological phenomena; Cognitive dynamic
Abstract In this chapter, we introduce the general use of agent-based modeling (ABM) in social science studies and in particular in psychological research. Given that ABM is frequently used in many disciplines in social sciences, as the main research tool or in conjunction with other modeling approaches, it is rather surprising its infrequent use in psychology. There are many reasons for that infrequent use of ABM in psychology, some justified, but others stem from not knowing the potential benefits of applying ABM to psychological research. Thus, we begin by giving a brief overview of ABM and the stages one has to go through to develop and analyze such a model. Then, we present and discuss the general drawbacks of ABM and the ones specific to psychology. Through that discussion, the reader should be able to better assess whether those disadvantages are sufficiently strong for precluding the application of ABM to his/her research. Finally, we end up by stating the benefits of ABM and examining how those advantages may outweigh the potential drawbacks, thus making ABM a valuable tool to consider in psychological research.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 978-3-031-41861-7 Medium
Area Expedition Conference
Notes Approved
Call Number UAI @ alexi.delcanto @ Serial 1915
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Author (up) Canessa, E.; Chaigneau, S.E.; Moreno, S.
Title Using agreement probability to study differences in types of concepts and conceptualizers Type
Year 2022 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods
Volume Early Access Issue Pages
Keywords Property listing task; Agreement probability; Concrete/abstract concepts; Sighted/blind populations
Abstract Agreement probability p(a) is a homogeneity measure of lists of properties produced by participants in a Property Listing Task (PLT) for a concept. Agreement probability's mathematical properties allow a rich analysis of property-based descriptions. To illustrate, we use p(a) to delve into the differences between concrete and abstract concepts in sighted and blind populations. Results show that concrete concepts are more homogeneous within sighted and blind groups than abstract ones (i.e., exhibit a higher p(a) than abstract ones) and that concrete concepts in the blind group are less homogeneous than in the sighted sample. This supports the idea that listed properties for concrete concepts should be more similar across subjects due to the influence of visual/perceptual information on the learning process. In contrast, abstract concepts are learned based mainly on social and linguistic information, which exhibit more variability among people, thus, making the listed properties more dissimilar across subjects. Relative to abstract concepts, the difference in p(a) between sighted and blind is not statistically significant. Though this is a null result, and should be considered with care, it is expected because abstract concepts should be learned by paying attention to the same social and linguistic input in both, blind and sighted, and thus, there is no reason to expect that the respective lists of properties should differ. Finally, we used p(a) to classify concrete and abstract concepts with a good level of certainty. All these analyses suggest that p(a) can be fruitfully used to study data obtained in a PLT.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1554-351X ISBN Medium
Area Expedition Conference
Notes WOS:000894418400002 Approved
Call Number UAI @ alexi.delcanto @ Serial 1694
Permanent link to this record
 
 
Author (up) Canessa, E.; Chaigneau, S.E.; Moreno, S.
Title Language processing differences between blind and sighted individuals and the abstract versus concrete concept difference Type
Year 2021 Publication Cognitive Science Abbreviated Journal Cogn. Sci.
Volume 45 Issue 10 Pages e13044
Keywords Concrete concepts; Abstract concepts; Blind subjects; Sighted Subjects
Abstract In the Property Listing Task (PLT), participants are asked to list properties for a concept (e.g., for the concept dog, “barks” and “is a pet” may be produced). In Conceptual Property Norming studies (CPNs), participants are asked to list properties for large sets of concepts. Here, we use a mathematical model of the property listing process to explore two longstanding issues: characterizing the difference between concrete and abstract concepts, and characterizing semantic knowledge in the blind versus sighted population. When we apply our mathematical model to a large CPN reporting properties listed by sighted and blind participants, the model uncovers significant differences between concrete and abstract concepts. Though we also find that blind individuals show many of the same processing differences between abstract and concrete concepts found in sighted individuals, our model shows that those differences are noticeably less pronounced than in sighted individuals. We discuss our results vis a vis theories attempting to

characterize abstract concepts.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0364-0213 ISBN Medium
Area Expedition Conference
Notes WOS:000709429400009 Approved
Call Number UAI @ alexi.delcanto @ Serial 1443
Permanent link to this record
 
 
Author (up) Canessa, E.; Chaigneau, S.E.; Moreno, S.; Lagos, R.
Title CPNCoverageAnalysis: An R package for parameter estimation in conceptual properties norming studies Type
Year 2023 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods
Volume 55 Issue Pages 554–569
Keywords Conceptual properties norming studies; Property listing task; Parameter estimation; Sample size determination; Sample coverage
Abstract In conceptual properties norming studies (CPNs), participants list properties that describe a set of concepts. From CPNs, many different parameters are calculated, such as semantic richness. A generally overlooked issue is that those values are

only point estimates of the true unknown population parameters. In the present work, we present an R package that allows us to treat those values as population parameter estimates. Relatedly, a general practice in CPNs is using an equal number of participants who list properties for each concept (i.e., standardizing sample size). As we illustrate through examples, this procedure has negative effects on data&#65533;s statistical analyses. Here, we argue that a better method is to standardize coverage (i.e., the proportion of sampled properties to the total number of properties that describe a concept), such that a similar coverage is achieved across concepts. When standardizing coverage rather than sample size, it is more likely that the set of concepts in a CPN all exhibit a similar representativeness. Moreover, by computing coverage the researcher can decide whether the

CPN reached a sufficiently high coverage, so that its results might be generalizable to other studies. The R package we make available in the current work allows one to compute coverage and to estimate the necessary number of participants to reach a target coverage. We show this sampling procedure by using the R package on real and simulated CPN data.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1554-3528 ISBN Medium
Area Expedition Conference
Notes Approved
Call Number UAI @ alexi.delcanto @ Serial 1538
Permanent link to this record
 
 
Author (up) Canessa, E.; Chaigneau, S.E.; Moreno, S.; Lagos, R.
Title Informational content of cosine and other similarities calculated from high-dimensional Conceptual Property Norm data Type
Year 2020 Publication Cognitive Processing Abbreviated Journal Cogn. Process.
Volume 21 Issue Pages 601-614
Keywords Cosine similarity; Euclidean distance; Chebyshev distance; Clustering; Conceptual properties
Abstract To study concepts that are coded in language, researchers often collect lists of conceptual properties produced by human subjects. From these data, different measures can be computed. In particular, inter-concept similarity is an important variable used in experimental studies. Among possible similarity measures, the cosine of conceptual property frequency vectors seems to be a de facto standard. However, there is a lack of comparative studies that test the merit of different similarity measures when computed from property frequency data. The current work compares four different similarity measures (cosine, correlation, Euclidean and Chebyshev) and five different types of data structures. To that end, we compared the informational content (i.e., entropy) delivered by each of those 4 x 5 = 20 combinations, and used a clustering procedure as a concrete example of how informational content affects statistical analyses. Our results lead us to conclude that similarity measures computed from lower-dimensional data fare better than those calculated from higher-dimensional data, and suggest that researchers should be more aware of data sparseness and dimensionality, and their consequences for statistical analyses.
Address [Canessa, Enrique; Chaigneau, Sergio E.] Univ Adolfo Ibanez, Sch Psychol, Ctr Cognit Res CINCO, Ave Presidente Errazuriz 3328, Santiago, Chile, Email: ecanessa@uai.cl
Corporate Author Thesis
Publisher Springer Heidelberg Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1612-4782 ISBN Medium
Area Expedition Conference
Notes WOS:000546845700001 Approved
Call Number UAI @ eduardo.moreno @ Serial 1180
Permanent link to this record
 
 
Author (up) Canessa, E.; Droop, C.; Allende, H.
Title An improved genetic algorithm for robust design in multivariate systems Type
Year 2012 Publication Quality & Quantity Abbreviated Journal Qual. Quant.
Volume 46 Issue 2 Pages 665-678
Keywords Robust design; Taguchi methods; Genetic algorithms; Desirability functions; Research article
Abstract In a previous article, we presented a genetic algorithm (GA), which finds solutions to problems of robust design in multivariate systems. Based on that GA, we developed a new GA that uses a new desirability function, based on the aggregation of the observed variance of the responses and the squared deviation between the mean of each response and its corresponding target value. Additionally, we also changed the crossover operator from a one-point to a uniform one. We used three different case studies to evaluate the performance of the new GA and also to compare it with the original one. The first case study involved using data from a univariate real system, and the other two employed data obtained from multivariate process simulators. In each of the case studies, the new GA delivered good solutions, which simultaneously adjusted the mean of each response to its corresponding target value. This performance was similar to the one of the original GA. Regarding variability reduction, the new GA worked much better than the original one. In all the case studies, the new GA delivered solutions that simultaneously decreased the standard deviation of each response to almost the minimum possible value. Thus, we conclude that the new GA performs better than the original one, especially regarding variance reduction, which was the main problem exhibited by the original GA.
Address [Canessa, Enrique; Droop, Christian; Allende, Hector] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Balmaceda 1620, Vina Del Mar, Chile, Email: ecanessa@uai.cl
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0033-5177 ISBN Medium
Area Expedition Conference
Notes WOS:000299134200017 Approved
Call Number UAI @ eduardo.moreno @ Serial 191
Permanent link to this record
 
 
Author (up) Canessa, E.; Riolo, R.L.
Title 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 Type
Year 2006 Publication Journal Of Information Technology Abbreviated Journal J. Inf. Technol.
Volume 21 Issue 4 Pages 272-283
Keywords agent-based modeling; computer-mediated communication; organizational communication; organizational culture; network stability
Abstract Organizations that make use of computer information systems (CIS) are prototypical complex adaptive systems (CAS). This paper shows how an approach from Complexity Science, exploratory agent-based modeling (ABM), can be used to study the impact of two different modes of use of computer-mediated communication (CMC) on organizational culture (OC) and performance. The ABM includes stylized representations of (a) agents communicating with other agents to complete tasks; (b) an OC consisting of the distribution of agent traits, changing as agents communicate; (c) the effect of OC on communication effectiveness (CE), and (d) the effect of CE on task completion times, that is, performance. If CMC is used in a broad mode, that is, to contact and collaborate with many, new agents, the development of a strong OC is slowed, leading to decreased CE and poorer performance early on. If CMC is used in a local mode, repeatedly contacting the same agents, a strong OC develops rapidly, leading to increased CE and high performance early on. However, if CMC is used in a broad mode over longer time periods, a strong OC can develop over a wider set of agents, leading to an OC that is stronger than an OC which develops with local CMC use. Thus broad use of CMC results in overall CE and performance that is higher than is generated by local use of CMC. We also discuss how the dynamics generated by an ABM can lead to a deeper understanding of the behavior of a CAS, for example, allowing us to better design empirical longitudinal studies.
Address Univ Adolfo Ibanez, Fac Sci & Technol, Vina Del Mar 1625, Chile, Email: ecanessa@uai.cl
Corporate Author Thesis
Publisher Palgrave Macmillan Ltd Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0268-3962 ISBN Medium
Area Expedition Conference
Notes WOS:000243393900007 Approved
Call Number UAI @ eduardo.moreno @ Serial 17
Permanent link to this record
 
 
Author (up) Canessa, E.; Vera, S.; Allende, H.
Title A new method for estimating missing values for a genetic algorithm used in robust design Type
Year 2012 Publication Engineering Optimization Abbreviated Journal Eng. Optimiz.
Volume 44 Issue 7 Pages 787-800
Keywords robust design; Taguchi methods; genetic algorithms; response surface methodology
Abstract This article presents an improved genetic algorithm (GA), which finds solutions to problems of robust design in multivariate systems with many control and noise factors. Since some values of responses of the system might not have been obtained from the robust design experiment, but may be needed in the search process, the GA uses response surface methodology (RSM) to estimate those values. In all test cases, the GA delivered solutions that adequately adjusted the mean of the responses to their corresponding target values and with low variability. The GA found more solutions than the previous versions of the GA, which makes it easier to find a solution that may meet the trade-off among variance reduction, mean adjustment and economic considerations. Moreover, RSM is a good method for estimating the mean and variance of the outputs of highly non-linear systems, which makes the new GA appropriate for optimizing such systems.
Address [Canessa, E.; Vera, S.] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Vina Del Mar, Recreo, Chile, Email: ecanessa@uai.cl
Corporate Author Thesis
Publisher Taylor & Francis Ltd Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0305-215x ISBN Medium
Area Expedition Conference
Notes WOS:000305212800002 Approved
Call Number UAI @ eduardo.moreno @ Serial 218
Permanent link to this record
 
 
Author (up) Canessa, E.C.; Chaigneau, S.E.
Title When are concepts comparable across minds? Type
Year 2016 Publication Quality & Quantity Abbreviated Journal Qual. Quant.
Volume 50 Issue 3 Pages 1367-1384
Keywords Conceptual Agreement Theory; Conceptual variability; Shared meaning; Agreement
Abstract In communication, people cannot resort to direct reference (e.g., pointing) when using diffuse concepts like democracy. Given that concepts reside in individuals' minds, how can people share those concepts? We argue that concepts are comparable across a social group if they afford agreement for those who use it; and that agreement occurs whenever individuals receive evidence that others conceptualize a given situation similarly to them. Based on Conceptual Agreement Theory, we show how to compute an agreement probability based on the sets of properties belonging to concepts. If that probability is sufficiently high, this shows that concepts afford an adequate level of agreement, and one may say that concepts are comparable across individuals' minds. In contrast to other approaches, our method considers that inter-individual variability in naturally occurring conceptual content exists and is a fact that must be taken into account, whereas other theories treat variability as error that should be cancelled out. Given that conceptual variability will exist, our approach may establish whether concepts are comparable across individuals' minds more soundly than previous methods.
Address [Canessa, Enrique Carlos] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Av P Hurtado 750, Vina Del Mar, Chile, Email: ecanessa@uai.cl;
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0033-5177 ISBN Medium
Area Expedition Conference
Notes WOS:000374458900025 Approved
Call Number UAI @ eduardo.moreno @ Serial 614
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Author (up) Chaigneau, S.E.; Canessa, E.; Barra, C.; Lagos, R.
Title The role of variability in the property listing task Type
Year 2018 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods
Volume 50 Issue 3 Pages 972-988
Keywords Property listing task; Conceptual property norms; Inter-subject variability; Conceptual agreement theory
Abstract It is generally believed that concepts can be characterized by their properties (or features). When investigating concepts encoded in language, researchers often ask subjects to produce lists of properties that describe them (i.e., the Property Listing Task, PLT). These lists are accumulated to produce Conceptual Property Norms (CPNs). CPNs contain frequency distributions of properties for individual concepts. It is widely believed that these distributions represent the underlying semantic structure of those concepts. Here, instead of focusing on the underlying semantic structure, we aim at characterizing the PLT. An often disregarded aspect of the PLT is that individuals show intersubject variability (i.e., they produce only partially overlapping lists). In our study we use a mathematical analysis of this intersubject variability to guide our inquiry. To this end, we resort to a set of publicly available norms that contain information about the specific properties that were informed at the individual subject level. Our results suggest that when an individual is performing the PLT, he or she generates a list of properties that is a mixture of general and distinctive properties, such that there is a non-linear tendency to produce more general than distinctive properties. Furthermore, the low generality properties are precisely those that tend not to be repeated across lists, accounting in this manner for part of the intersubject variability. In consequence, any manipulation that may affect the mixture of general and distinctive properties in lists is bound to change intersubject variability. We discuss why these results are important for researchers using the PLT.
Address [Chaigneau, Sergio E.; Canessa, Enrique] Univ Adolfo Ibanez, Sch Psychol, Ctr Cognit Res CINCO, Av Presidente Errazuriz 3328, Santiago, Chile, Email: sergio.chaigneau@uai.cl
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1554-351x ISBN Medium
Area Expedition Conference
Notes WOS:000434639400008 Approved
Call Number UAI @ eduardo.moreno @ Serial 876
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Author (up) Chaigneau, S.E.; Canessa, E.; Gaete, J.
Title Conceptual agreement theory Type
Year 2012 Publication New Ideas In Psychology Abbreviated Journal New Ideas Psychol.
Volume 30 Issue 2 Pages 179-189
Keywords Reference; Shared reference; Meaning; Agreement; Joint action
Abstract For some time now, psychological inquiry on reference has assumed that reference is achieved through causal links between words and entities (i.e., direct reference). In this view, meaning is not relevant for reference or co-reference. We argue that this view may be germane to concrete objects, but not to diffuse objects (that lack clear spatio-temporal limits, thus preventing the use of direct reference in interactions). Here, we propose that meaning is the relevant dimension when referring to diffuse entities, and introduce Conceptual Agreement Theory (CAT). CAT is a mathematized theory of meaning that specifies the conditions under which two individuals (or one individual at two points in time) will infer they share a diffuse referent. We present the theory, and use stereotype stability and public opinion as case studies to illustrate the theory's use and scope. (C) 2011 Elsevier Ltd. All rights reserved.
Address [Chaigneau, Sergio E.; Gaete, Joaquin] Univ Adolfo Ibanez, Escuela Psicol, Santiago, Chile, Email: sergio.chaigneau@uai.cl
Corporate Author Thesis
Publisher Pergamon-Elsevier Science Ltd Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0732-118x ISBN Medium
Area Expedition Conference
Notes WOS:000302333200003 Approved
Call Number UAI @ eduardo.moreno @ Serial 206
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