Prof. Dr. Laura Martignon

Laura Martignon was born in Colombia to Italian parents. She studied Mathematics at the National University of Colombia obtaining her B.Sc. degree. She traveled to Tübingen, Germany, on a DAAD scholarship, where she obtained her Diplom (Master's degree)  in 1975 and, in 1978, her PhD in Mathematics.

She worked at Corbondale University, Illinois, as well as seven years at the University of Brasilia. She was a Visiting Scholar at the University of Jerusalem for three semesters.

She was a founding member of the ABC Center (Adaptive Behavior and Cognition) directed by Gerd Gigerenzer within the Max Planck Society, formerly in Munich and later in Berlin.

For  19 years she was a professor in the Department of Mathematics at the Ludwigsburg Pedagogical University.  Her activity has been mainly as a mathematical modeler in applied sciences and as an educator of future mathematics teachers, concentrating on didactical topics.

• Monographien

  Martignon, L. & Hoffrage, U. (2019) Wer wagt, gewinnt? Wie Sie die Risikokompetenz von Kindern und Jugendlichen fördern können. Göttingen: Hogrefe Verlag

  P.M.Todd, Gigerenzer, G. and the ABC Research Group (im Druck) Ecological rationality: Intelligence in the world. New York: Oxford University Press

  Martignon, L. & Sander, W. (2009) Die mathematischen Instrumente der Nachhaltigkeitsdiskussion in Schulen: eine Bestandsaufnahme. Graue Reihe der Europäischen Akademie Ahrweiler: Ahrweiler

  G. De Haan, G. Kamp,A. Lerch, L. Martignon, G. Müller-Christ,H. Nutzinger (2008) Nachhaltigkeit und Gerechtigkeit: Grundlagen und schulpraktische Konsequenzen. Heidelberg, New York: Springer Verlag

  G. Gigerenzer, P.M. Todd and the ABC Research Group (1999) Simple Heuristics that Make Us Smart. New York: Oxford University Press.

  L. Martignon (1987) Matrizes positivas. Rio de Janeiro: IMPA-Press
   

• seit 2021

  Hoffrage, U., Martignon, L., Erickson, T., Engel, J. (2024). Connecting Basic Proportional Thinking with Reasoning About Risks. In: Baratgin, J., Jacquet, B., Yama, H. (eds) Human and Artificial Rationalities. HAR 2023. Lecture Notes in Computer Science, vol 14522. Springer, Cham. https://doi.org/10.1007/978-3-031-55245-8_25

  Martignon, L., Binder, K., Loibl, K., Macchi, L. & Hanna, G. (2023) Editorial to Reserch Topic "Psychology and mathematics education", with 40 contributions in Frontiers: https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1243419/full

  Jacquet, B., Bourlier, M., Caravona, L., Izquierdo, L. M., Jiménez Ríos, F. J., Jamet, F., Engel, J., Martignon, L., Macchi, L. & Baratgin, J. (2023) Your personal chatbot coach to change your CO2 footprint. Proceedings of 18th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2023), March 13–16, 2023, Stockolm, SE. ACM, New York, NY, USA, 7 pages.
  
  Vargas, F., Martignon, L. & Stenning, K. (2023) Bounded rationality: from fast and frugal heuristics to logic programming and back. Mind Soc. doi.org/10.1007/s11299-023-00293-3

  Martignon L, Frischemeier D, McDowell M, Till C. (2023). Dynamic, interactive trees and icon arrays for visualizing risks in civic statistics. In Ridgway J (Ed.), Teaching Statistics for Empowerment and Social Engagement: Resources for teaching civic statistics to develop informed citizens (p. xx–yy). London: Springer Verlag. [online first]

  Kaiser, A. & Martignon, L. (2023) Boosting students’ shared knowledge on basic of statistics and probabilities for understanding critical facts about Covid. Proceeding of the 11th ICOTS, Rosario. Download

  Martignon, L., Engel, J. & Erickson, T. (2023) A transparent, simple AI tool for constructing efficient and robust fast and frugal trees for classification under risk. Proceeding of the 11th ICOTS, Rosario.

  Engel, J., Schiller, A. & Martignon, L. (2022) Estadística cívica en la formación de profesores de Matemáticas. In Formación del profesorado para ensenar estadística: retos y oportunidades. Publ. por Centro de Investigación en Educación Matemática y Estadsística. Facultad de Ciencias Básicas de la Universidad Católica del Maule. Capítulo 1, pp 21-46.

  Martignon, L., Erickson, T., & Viale, R. (2022) Transparent, simple and robust fast-and-frugal trees and their construction. Front. Hum. Dyn., 10 October 2022. Sec. Digital Impacts. doi.org/10.3389/fhumd.2022.790033

  Martignon, L. & Rechtsteiner, Ch. (2022). The Benefits of an Interdisciplinary Approach to Mathematics Education on Issues Around Computation in School. Front. Psychol. (13), 533402. doi.org/10.3389/fpsyg.2022.533402

  Martignon, L., Mousavi, S. & Engel, J. Democratic societies defeat (COVID-19) disasters by boosting shared knowledge. (2021) Mind Soc 20, 143–147. doi.org/10.1007/s11299-021-00278-0

  Oezel, E., Nelson, J., Bertram, L., Martignon, L. (2021) Playing Entropy Mastermind can Foster Children’s Information-Theoretical Intuitions, Front. Educ. Psychology and Mathematics Education, in Sec. Educational Psychology. doi.org/10.3389/feduc.2021.595000
   

• 2011 - 2020

  Martignon, L., Laskey, K. B., & Stenning, K. (2020) Simon's legacies for mathematics educators. In R. Viale (Ed.), Routledge Handbook of Bounded Rationality (1st edition, pp. 155-169). Routledge, 2020.

  Martignon, L., & Laskey, K. (2019) Statistical literacy for classification under risk: An educational perspective. AStA Wirtschafts- Und Sozialstatistisches Archiv, 13(3), 269-278. https://doi.org/10.1007/s11943-019-00259-3

  Engel, J., Biehler, R., Frischemeier, D. Martignon, L. (2019) Zivilstatistik: Konzept einer neuen Perspektive auf Data Literacy und Statistical Literacy. AStA Wirtsch Sozialstat Arch 13, 213–244. doi.org/10.1007/s11943-019-00260-w

  Vargas, F., Benincasa, T., Cian, G. & Martignon, L. (2019) Fostering Probabilistic Reasoning Away from Fallacies: Natural Information Formats and Interaction between School Levels. International Electronic Journal of Mathematics Education. Vol.14, Issue 2, pp. 303-330. doi.org/10.29333/iejme/5716

  Stenning, K., Martignon, L., & Varga, A. (2017). Probability-free judgment: Integrating fast and frugal heuristics with a logic of interpretation. Decision, 4(3), 171–196. https://doi.org/10.1037/dec0000072

  Woike, J., Hoffrage, U. & Martignon, L. (2017) Integrating and testing natural frequencies, naïve bayes, and fast-and-frugal trees. Decision 4, (4) 234-260 . pearl.plymouth.ac.uk/handle/10026.1/16574

  Wasner, M., Nuerk, H.-C. , Martignon, L., Roesch, R.& Moeller, K. (2016). Finger gnosis predicts a unique but small part of variance in initial arithmetic performance. Journal of Experimental Child Psychology, 146, 1-16. dx.doi.org/10.1016/j.jecp.2016.01.006.

  Knauber, H., Martignon, L., Schray, H., Nelson, J. & Meder, B. (2016) Informationssuche und Kodierung: Heuristiken von Viertklässlern. In G. Greefrath, F. Käpnick & M. Stein (Hrsg.), Beiträge zum Mathematikunterricht 2013. Münster: WTM

  Martignon, L. (2016) Empowering Citizens against the Typical Misuse of Data Concerning Risks, Proceedings IASE Roundtable Conference on Promoting Understanding of Statistics about Society. Berlin, 20

  Gigerenzer, G., & Martignon, L. (2015). Risikokompetenz in der Schule lernen. Lernen und Lernstörungen, 4(2), 91–98. doi.org/10.1024/2235-0977/a000098

  Hoffrage, U., Krauss, S., Martignon, L., & Gigerenzer, G. (2015). Natural frequencies improve Bayesian reasoning in simple and complex inference tasks. Frontiers in Psychology, 6, Article 1473. doi.org/10.3389/fpsyg.2015.01473

  Nuerk, H.-C. , Engel, J. & Martignon, L. (2015). Statistical Literacy: Eine Basiskompetenz in der Informationsgesellschaft. Lernen und Lernstörungen, 4, 85-90. dx.doi.org/10.1024/2235-0977/a000097.

  Engel, J. & Martignon, L. (2015), Dynamisch-interaktive Visualisierung  elementarer Konzepte zu Daten und Wahrscheinlichkeiten, Lernen und Lernstörungen, 4(2), 139-145.

  Kuntze, S., Vargas, F., Martignon, L. & Engel, J. (2015). Competencies in understanding statistical information in primary and secondary school levels: An inter-cultural empirical study with German and Colombian students. Avances de Investigación en Educación Matemática (AIEM), (7), 5-25

  Varga, A., Stenning, K., & Martignon, L. (2015) There is no one Logic to Model Human Reasoning: the Case from Interpretation. Bridging@CADE 2015: 32-46

  Martignon, L. & Kuntze, S. (2015) Good models and good representations are a support for learners’ risk assessment. The Mathematics Enthusiast, 12; 157-167

  Martignon, L. (2015) Algorithm. Encyclopedia of the social and behavioral sciences, Publisher: Elsevier, Editors: James D Wright

  Martignon, L. (2015) Information Theory. Encyclopedia of the social and behavioral sciences, Publisher: Elsevier, Editors: James D Wright DOI: 10.1016/B0-08-043076-7/00608-2
     
  T Prosen, L Martignon, TH Seligman (2015) Observables and density matrices embedded in dual Hilbert spaces, Physica Scripta, Vol 90, 7 , pp 31-39

  Laskey, K. & Martignon, L. (2014) Comparing fast and frugal trees and Bayesian networks for risk assessment. Invited and refereed paper. Proceedings of the 9th International Conference in Teaching Statistics ICOTS-9, Flagstaff, USA.
  
  Martignon, L. & Erickson, T. (2014) Proto-Bayesian reasoning of children in fourth class Invited and refereed paper. Proceedings of the 9th International Conference in Teaching Statistics ICOTS-9, Flagstaff, USA

  Monti M., Pelligra V., Martignon L., and Berg N. (2014), Retail investors and financial advisors: New evidence on trust and advice taking heuristics, Journal of Business Research 67(8), 1749-1757.

  Martignon, L. (2014) Fostering Children's Probabilistic Reasoning and First Elements of Risk Evaluation. In E. J. Chernoff & B. Sriraman (Eds.), Probabilistic thinking: Presenting plural perspectives (Advances in Mathematics Education) (pp. 148-161). Dordrecht: Springer.
   

• 2001 - 2010

  Martignon, L. & Monti, M. (2010) Conditions for risk assessment as a topic for probabilistic education. Invited paper. Proceedings of the 8th International Conference in Teaching Statitics ICOTS-8, Ljubljan

  Monti, M., Martignon, L., Gigerenzer, G. (2010) Investment Decisions: Fast and Frugal Heuristics at work, Mind and Society, Springer, Berlin.

  Monti, M., Martignon, L., Gigerenzer, G. (2010) Le scelte di investimento: strategie semplici e frugali per decisioni complesse (Investment Decisions: Fast and Frugal Heuristics for Complex Decisions), Sistemi Intelligenti (Smart Systems), Edizioni il Mulino, Bologna.

  Martignon, L.(2010) Teaching probability: the situation in Germany. (2010) In: C. Batanero, G. Burrill, C. Reading, A. Rossman (Eds.): Teaching Statistics in School Mathematics- Challenges for Teaching andf Teacher Education: A joint ICMI/ IASE study. Springer: New York.

  Einflussgrößen auf Statistical Literacy von Studierenden-  Erste Ergebnisse aus dem Projekt RIKO-STAT unter besonderer Berücksichtigung motivationaler Dispositionen. Beiträge zum Mathematikunterricht (zusammen mit Martin Gundlach, Sebastian Kuntze und Joachim Engel)

  Aspects of statistical literacy between competency measures and indicators for conceptual knowledge – empirical research in the project “RIKO-STAT”. Proceedings of the 8th International Conference on Teaching Statistics (ICOTS8) (joint with Sebastian Kuntze, Martin Gundlach and Joachim Engel)

  Motivation and self-efficacy related to probability and statistics: task-specific motivation and proficiency. Proceedings of the 8^th International Conference on Teaching Statistics (ICOTS8) (joint with Martin Gundlach, Sebastian Kuntze and Joachim Engel)

  Students’ views related to chance variability. [Poster at. International Conference on Statistics (ICOTS)., zusammen mit M. Wünsch, S. Kuntze & J. Engel)

  Risk perception and risk communication of school students: First empirical results from RIKO-STAT. [Poster]. International Conference on Statistics (ICOTS), (zusammen mit Fesser, S., Engel, J. & Kuntze, S.).

  Students’ conceptions andmisconceptions related to probability. [Poster]. International Conference on Statistics(ICOTS), (zusammen mit J. Brunner, J. Engel & S. Kuntze).

  Martignon, L. & Krauss, S. (2009) Hands on activities with fourth-graders: a tool box of heuristics for decision making and reckoning with risk. International Electronic Journal for Mathematics Education, Vol.4, Number 3, 117-148

  Martignon, L. (2009) Mädchen und Mathematik. Handbuch für Mädchenpädagogik, Wyrobnik I. und Matzer A. (Hrsg.) S. 148-158

  Martignon, L.; Katsikopoulos, K.; Woike, J.(2008). Categorization with limited resources. fast and frugal trees. Journal of Mathematical Psychology, 52, 6; 352-361

  Bederna, K. & Martignon, L. (2008) Es war einmal ein enges Paar..:Matheologie. TheoWeb Jahrgang 7, Heft 1, 48-71

  Martignon, L. (2008) Instructing future teachers of statistics: the benefits of en-active, analogue modelling. ICMI/IASE Study. www.ugr.es/~icmi/iase_study/

  Martignon, L. & Kurz-Milcke, E. (2008) Principles of Naive Stochastics for Elementary School. Symposium on the Occasion of the 100th Anniversary of ICMI  (International Commission on Mathematical Instruction) Working Group 1 www.unige.ch/math/EnsMath/Rome2008/welcome.html

  de Haan G., Kamp, G., Lerch, J., Martignon, L., Müller-Christ, G., Nutzinger, H.(2008) Verantwortung für zukünftige Generationen: schulische Umsetzung von Nachhaltigkeit. Springer Verlag: Heidelberg.

  Martignon, L & Krauss, S. (2008) Hands on Modelling with Wason Cards and Tinker Cubes; First steps in Logical and Bayesian Reasoning in Fourth Grade. TSG-13, 20 ICMI 2008

  Kurz-Milcke, E., Gigerenzer, G., & Martignon, L. (2008)Transparency in Risk Communication: Graphical and analog tools. In: T. Tucker et al. (Eds.). Risk Communication. New York Academy of Science, 1128; 18-28

  Martignon, L. & Krauss, S. (2007) Gezinkte und ungezinkte Würfel, Magnetplättchen und Tinkercubes: Materialien für eine Grundschulstochastik zum Anfassen. Stochastik in der Schule, pp. 16-28

  Wassner, Ch., Biehler, R., Martignon, L. (2007) Das Konzept der natürlichen Häufigkeiten im Stochastikunterricht. Der Mathematikunterricht, pp. 31-45

  Martignon, L., Laskey, K. & Kurz-Milcke, E. (2007) Natural Frequencies for Natural Stochastic in Primary School. Cerme 5 (Fifth Conference of the European Reunion of Mathematics Educators) Group 5, WG 32-11-21

  Martignon, L. (2007) Bounded Rationality in Risk Assessment; Newsletter of the European Academy, Ahrweiler, 1-2

  Kurz-Milcke, E. & Martignon, L. (2007). Stochastische Urnen und Modelle in der Grundschule. Tagungsband der Jahrestagung der Gesellschaft für Didaktik der Mathematik, Berlin.

  Katsikopoulos, K.& Martignon, L. (2006) On the accuracy of lexicographic strategies for pair comparison. Journal of Mathematical Psychology. Vol. 50. 116-122

  Schmitt, M, & Martignon,L. (2006). On the Complexity of Learning Lexicographic Strategies Journal of Machine Learning Research 7: 55-83

  Martignon, L & Kurz-Milcke,  E. (2006). Educating children in stochastic modeling: Games with stochastic urns and colored tinkercubes. Proceedings of the ICOTS 7 Conference. C-443

  Martignon, L (2006) Eine Taxonomie der Gottesbeweise; in Ratio-Intellectus-Fides:Beiträge des Rom -Seminars 2006, an der  Accademia dei Lincei und Accademia Pontificia, 26.2-2.3, 2006, S. 43-53

  Kurz-Milcke, E. & Martignon, L. (2006). Lebendige Urnen und ereignisreiche Bäume: Überlegungen und Versuche zu einer Didaktik der Stochastik in der Grundschule. In J. Meyer (Hrsg.). Anregungen zum Stochastikunterricht, Bd. 3. (pp. 181-203). Hildesheim: Franzbecker.

  Kurz-Milcke. E. & Martignon, L. (2006). Buchbesprechung: Mathematikstudentinnen und –studenten, Studienerfahrungen und Zukunftsvorsatellungen von B. Curdes, S. Jahnke-Klein, W. Lohfeld und I. Pieper-Seier, 2003. In L. Martignon, C. Niederdrenk-Felgner und R. Vogel (Hrsg.), Mathematik und Gender (pp. 84-90). Hildesheim:Franzbecker.

  Thyen, A &  Martignon, L.&. (2006) Von der Ordnung des Wissens. Journal für Philosophie: der Blaue Reiter. H.06-

  Martignon, L. & Kurz-Milcke, E. (2006). Bunte Steckwürfel und Kärtchen: Wege zu einer natürlichen, geschlechtersensitiven Stochastik in der Grundschule. In J. Meyer (Hrsg.). Anregungen zum Stochastikunterricht, Bd. 3. (pp. 203-223).Hildesheim: Franzbecker

  Martignon, L.& Wassner, Ch. (2005) Schulung frühen stochastischen Denkens von Kindern Zeitschrift für Erziehungswissenschaft, 8. Jahrg., Heft 2, S.2002-222

  Schmitt, M., Martignon, L. (2005) The accuracy of lexicographic strategies for inference Neural Information Processing Systems, 21, 345-349

  Martignon, L.& Seligman, Th. (2005) Einsteins Einsamkeit: Vorbild oder Inspiration. Gegenworte H.15, S.32-35

  Wassner, C., Martignon, L., Biehler, R. (2004). Bayesianisches Denken in der Schule. In: Unterrichtswissenschaft. Zeitschrift für Lernforschung, 32. Jahrgang, Heft 1 (pp. 58-96). Juventa Verlag, Weinheim.

  Dieckmann, A.& Martignon, L. (2004) Einfache Heuristiken für gute Entscheidungen, Komplexitätsmanagement VS Verlag für Sozialwissenschaften, S. 35-54

  Gigerenzer, G., Martignon, L., Hoffrage, U., Goldstein, D., Rieskamp, J. (2004) One reason decision making. Handbook of experimental economics. Elsevier. North Holland. 1011 - 1041

  Del Prete, V., Martignon, L., Villa, E. P. A. (2004). Detection of syntonies between multiple spike trains using a coarse-grain binarization of spike count distributions. In: Network: Computation in Neural Systems 15 (pp. 13-28). Institute of Physics Publishing.

  Martignon, L., Krauss, S. (2003). Reconciling Bayesianism and Bounded rationality. S. Schneider & J. Shanteau (Eds) Emerging Perspectives on Decision Research. Oxford University Press. 273 - 283

  Martignon, L., Vitouch, O., Masanori, T., Forster, M. R. (2003). Naive and yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees. In D. Hardman, L. Macchi (Eds.). Thinking: Psychological Perspective on Reasoning, Judgment and Decision Making. John Wiley & Sons, Ltd.

  Martignon, L. (2003). Algorithms. Encyclopedia of the Social and Behavioral Sciences. P. Baltes and N. Smelser (Eds). Elsevier: Oxford

  Martignon, L. (2003). Information Theory. Encyclopedia of the Social and Behavioral Sciences. P. Baltes and N. Smelser (Eds). Elsevier: Oxford

  Martignon, L., Hoffrage, U. (2002). Fast, frugal and fit: Simple heuristics for paired comparison. In: Theory and Decision 52 (pp. 29-71). Kluwer Academic Publishers

  Joachim E. Fischer, E. J., Steiner, F., Zucol, F., Berger, C., Martignon, L., Bossart, W., Altwegg, M., and Nadal, D. (2002). Use of Simple Heuristics to Target Macrolide Prescription in Children With Community-Acquired Pneumonia. Arch Pediatr Adolesc Med, Oct 2002; 156: 1005 - 1008.

  Kurz-Milcke, E., Martignon, Laura (2002). Modeling practices and tradition. In Magnani, L., Nersessian, N. (Eds.). Model-based reasoning: Scientific discovery, technological innovation, values (pp. 127-146). Kluwer Academic Publishers, New York

  Wassner, C., Krauss, S., Martignon, L. (2002). Muss der Satz von Bayes schwer verständlich sein? In: Praxis der Mathematik 44 (1), S. 12-16

  Wassner, C., Martignon, L., Sedlmeier, P. (2002). Die Bedeutung der Darbietungsformen für das alltagsorientierte Lehren von Stochastik. In: Prenzel, M., Doll, J. (Hrsg.). Bildungsqualität von Schule: Schulische und außerschulische Bedingungen mathematischer, naturwissenschaftlicher und überfachlicher Kompetenzen, Teil I: Unterrichtsfforschung in Mathematik. 45. Beiheft der Zeitschrift für Pädagogik. S. 35-50

  Martignon, L. (2001). Principles of Adaptive Decision Making. Rational Decision-Making in the Preservation of Cultural Property. N. Baer, F. Snickars (Eds.). Dahlem University Press

  Andersson, A. E., Baer, N. S., Leonhard, J.-F., Lyall, J.M., Martignon, L., Rütimann, H., Schubert, U., Stulc, J. (2001). Paradigms for Rational Decision-making in the Preservation of Cultural Property. N. Baer, F. Snickars (Eds.). Dahlem University Press

  Martignon, L. (2001). Comparisons between Simple Heuristics and “Optimization“. in G. Gigerenzer and R. Selten (Eds.), Bounded Rationality: The Adaptive Toolbox (Proceedings of the Dahlem Workshop). Boston: MIT Press. 147 - 171
   

• 1991 - 2000

  Martignon, L. , Wassner, C. (2000). Repräsentation von Information in der Wahrscheinlichkeitstheorie. In: Borovcnik, M., Engel, J., Wickmann, D. (Hrsg.). Anregungen zum Stochastikunterricht: Die NCTM-Standards 2000 - Klassische und Bayessche Sichtweise im Vergleich. Hildesheim: Franzbecker, S. 163 - 169

  Martignon, L. (2000). Repräsentation von Information in mathematischen Kontexten: eine kognitionspsychologische Vision. Proceedings der 34 Tagung der Gesellschaft für Didaktik der Mathematik. 134 - 139

  Martignon, L., Deco, G., Laskey, K., Diamond, M., Freiwald, W., Vaadia, E. (2000). Neural Coding: Higher Order Correlations in the Neurostatistics of Cell Assemblies. Neural Computation. 12 (11): 156-188

  Krauss, S., Martignon, L., Hoffrage, U. (1999). Simplifying Bayesian Inference. In Magnani, L., Nersessian, N., Thagard, N. (Eds) Model-Based Reasoning in Scientific Discovery. New York: Plenum Press. 165-179

  Martignon, L., Schmitt, M. (1999). Simplicity and robustness of fast and frugal heuristics. Minds and Machines. 9: 565-593.

  Martignon, L., Hoffrage, U. (1999). Why does one-reason decision making work? In: G. Gigerenzer, P.M. Todd and the ABC Research Group. Simple Heuristics that Make Us Smart. New York: Oxford University Press. 119-140.

  Martignon, L., Laskey, K. (1999). Bayesian benchmarks for fast and frugal heuristics. In: G. Gigerenzer, P.M. Todd and the ABC Research Group. Simple Heuristics that Make Us Smart. New York: Oxford University Press. 169-188

  Czerlinski, J., Martignon, L., Goldstein, D., Gigerenzer, G. (submitted to Cognitive Science). The robustness of fast and frugal heuristics.

  Hertwig, R., Hoffrage, U. Martignon, L. (1999). Quick estimation: Letting the environment do some of the work. In: G. Gigerenzer, P.M. Todd and the ABC Research Group. Simple Heuristics that Make Us Smart. New York: Oxford University Press. 209-234

  Berretty. P., Todd, P., Martignon, L. (1999). Categorization by elimination: using few cues to choose. In: G. Gigerenzer, P.M. Todd and the ABC Research Group. Simple Heuristics that Make Us Smart. New York: Oxford University Press. 234-254

  Gigerenzer, G., Czerlinski, J., Martignon, L. (1999). How good are fast and frugal heuristics? In J. Shanteau, B. Mellers, & D. Schum (eds), Decision research from Bayesian approaches to normative systems: Refelections on the contributions of Ward Edwards. Norwell, MA: Kluwer. 81–104.

  Waldmann, M., Martignon, L. (1998). Bayesian network models of causal learning. Proceedings of the 20th Annual Meeting of the Cognitive Science Society, University of Wisconsin, Madison. (Eds.) M.A. Gernsbacher, S.J. Derry. Erlbaum,Mahwah/NJ, 1102-1107

  Deco, G., Martignon, L., Laskey, K. (1998) Neural Coding: Measures for Syn-fire detection. W. Gestner (Eds).Advances in artificial neural networks. 1256, 78-83.

  Martignon L., Laskey K., Deco G., Vaadia, E. (1996). Learning exact patterns of quasi-synchronization among spiking neurons from from data on multi-unit recordings. Advances in Neural Information Processing Systems, Vol. 9, 76-82

  Laskey, K., Martignon, L., (1996). Bayesian Learning of Log-Linear Models for neural connectivity. Uncertainty in Artificial Intelligence. Nr. 12, 213-221

  Martignon, L., Laskey, K., Schwarz, A., Vaadia, E. (1996). Detecting and measuring higher order synchronization among neurons: a Bayesian approach. In C. von der Malsburg et al. (Eds.), Proceedings of the International Conference in Artificial Neural Networks. Lecture Notes in Computer Science, Springer Verlag. 401-407

  Martignon, L., Hoffrage, U., Gigerenzer, G. (1996). Schnelle und sparsame Algorithmen für die sequentielle Verarbeitung von Information durch künstliche Agenten. Fortschritte der Künstlichen Intelligenz. Dresden University Press. 94-96

  Martignon, L., Laskey, K. (1995). Statistical inference methods for detecting and measuring neural interactions. In H. Hermann and E. Pöppel (Eds). Supercomputers and the Brain. World Scientific, 149-160.

  Martignon, L., Laskey, K. (1995). Bayesian strategies for machine learning: rule extraction and concept detection. In B. Kappen & S. Gielen (Eds.) Neural Networks and Artificial Intelligence. Springer Verlag. 85 88.

  Martignon, L. (1995). Probabilistic nets for machine learning: Rule Extraction and concept detection. Proceedings of the Congress on neural networks: links to cognitive science and artificial intelligence. Erlbaum, Mahwah/NJ.41-48.

  Martignon, L., v. Hasseln, H., Grün, S., Aertsen, A., Palm, G. (1995). Detecting higher-order interactions among the spiking events in a group of neurons. Biological Cybernetics, Vol. 73, n. 1, 63-76

  Martignon, L., v. Hasseln, S., Grün, G., Palm, G. (1994). Modelling the interaction in a set of neurons implicit in their frequency distribution: a possible approach to neural assemblies, in Allocati, F., Musio, C. e Taddei-Ferretti, C. (Eds). Cibernetica Biologica. Turin: Rosenberg-Sellier. 268-288

  v. Hasseln, H., Martignon, L. (1994). An iterative algorithm for consistency in probabilistic networks, in J. Kunze and H. Stoyan (Eds), KI-94 Workshops. Proceedings of the annual conference on Artificial Intelligence, Saarbrücken, Germany, 380—381.

  Schwenker, F., Martignon, L. (1994). Nondegeneracy, Relative Differentiability, and Integral Representation of Markov Systems. Journal of Approximation Theory, 79, 2, 307-311

  Martignon, L., v. Hasseln, H., Palm, G. (1993). Modelling stochastic networks: From data to the connectivity structure, in Otthein Herzog, Thomas Christaller, and Dieter Schütt (Eds.) Artificial Intelligence and Machine Learning. Heidelberg: Springer Verlag. 134-140

  Martignon, L., v. Hasseln, H., Palm, G. (1993). Modelling probabilistic networks: From data to the connectivity structure. Proceedings des KI ‘93 Workshops „Wissensverarbeitung mit neuronalen Netzen“, GMD-Studien, 221, 50-58v.

  Hasseln, H., Martignon, L. (1992). Consistency in stochastic networks. Ulmer Informatik Berichte.Heft 3, 1-14.

  Martignon, L. (1991). O Espectro de Operadores Positivos. Matematica Universitaria, Vol. 3, Nr. 2, 11-19
   

• 1981 - 1990

  Martignon, L. (1988). Transformadas Integrais em Calculos do Problema de n-Corpos, Parte 2. Caderno de Matematica Aplicada da U.N.B. Nr. 23, 34-43

  Martignon, L. (1987). Markov Operators with small spectrum. Proceedings of the XV Brazilian Colloquim of Mathematics. Pocos de Caldas. 14-27

  Martignon, L. (1986). Operadores Positivos e de Markov: Minicurso. Proceedings of the XX Brazilian Seminar in Analysis. Sao Paulo, 63-84

  Martignon, L. (1986). Um Teorema de Tomschak-Jägermann. Matematica Universitaria, Vol. 2, Nr. 2, 3-7

  Martignon, L. (1985). Stochastic Operators with Small Spectrum. Proceedings of the XII Brazillian Colloquium of Mathematics. Pocos de Caldas. 7-22

  Martignon, L. (1985). Doubly Stochastic Operators. Bericht der Funktionalanalysis, AGFA. Nr. 7, 11-28

  Martignon, L. (1985). Transformadas Integrais em Calculos do Problema de n-Corpos, Parte 1. Caderno de Matematica Aplicada da U.N.B. Nr.17, 67-82

  Martignon, L. (1984). Doubly Stochastic Matrices with Prescribed Positive Spectrum. Linear Algebra and its Applications, Vol. 61, n. 17, 10-13
   

• 1975 - 1980

  Martignon, L. (1980). Banach f-Algebras and Banach Lattice Algebras with Unit. Bulletin of the Brazilian Mathematical Society, Vol. 11, n. 17, 11-18

  Martignon, L., Lesche, B. (1980). Über die Extremalpunkte der bistochastischen Maße auf [0,1]x[0,1]. Annals of the Brazilian Academy of Science, Vol. 52, n. 2, 203-207

  Martignon, L., Seligman, T. (1977). A Criterion for the Applicability of an Integral Transform in n-Body Reaction Calculations. Nuclear Physics, A286, 179-183

  Martignon, L. (1975). Proprieta’ spettrali di alcuni opeartori rilevanti della meccanica quantistica. [Spektrale Eigenschaften einiger wichtigen Operatoren der Quantenmechanik.] In Schaefer H. (Ed.) Una Introduzione alla teoria spettrale. Torino: Boringhieri. 26-96