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

Martignon, Laura & Sander, Winfried (im Druck) 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

Kommt noch.

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, Ljubljana.

• Martignon, L, Katsikopoulos, K.& Woike, J. (in press) Naive fast and frugal trees for categorization in P.Todd, G. Gigerenzer and the ABC Research Group. Ecological rationality: Intelligence in the world. Oxford University Press
• 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
• 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
• 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. http://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 http://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. (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

• 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

• 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

• 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

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