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Editorial: Cognitive Architectures, Model Comparison and AGI

. Newell, A. N. (1973). You can't play 20 questions with nature and win: Projective comments on papers in this symposium. In W. G. Chase (Ed.), Visual information processing. New York: Academic Press. Stewart, D. (1994). Interview with Herbert Simon. Omni Magazine, June 1994. Warwick, W. (2009) Comparing the Comparisons. In Proceedings of the Behavior Representation in Modeling and Simulation (BRIMS-09). Sundance, Utah.

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The limit of inconsistency reduction in pairwise comparisons

., Li, H. and Dai, M. (2008). A comparative study of the numerical scales and the prioritization methods in AHP, European Journal of Operational Research 186 (1): 229–242. Faliszewski, P., Hemaspaandra, E. and Hemaspaandra, L. (2010). Using complexity to protect elections, Communications of the ACM 53 (11): 74–82. Holsztynski, W. and Koczkodaj, W. (1996). Convergence of inconsistency algorithms for the pairwise comparisons, Information Processing Letters 59 (4): 197–202. Jensen, R. (1984). An alternative scaling method for priorities in

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Volume Comparison in the presence of a Gromov-Hausdorff ε−approximation II

–211 [5] G. Reviron , Espaces de longueur d’entropie majorée: rigidité topologique, adhérence des variétés, noyau de la chaleur ,Thèse de Doctorat de Mathématiques de l’Université Joseph Fourier, Grenoble, 2005 [6] G. Reviron , Rigidité topologique sous une hypothèsed’entropiemajorée et applications, Commentarii Math. Helv. , 83 , (2008), 815–846 [7] L. Sabatini , Volume Comparison in presence of a Gromov-Hausdorff ε− approximation I, Math. Z. , 274 , (2013), 1–20 [8] L. Sabatini , Volume Comparison without curvature assumptions, Math Z

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Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms

Mathematics and Computer Science 21 (1): 57-68, DOI: 10.2478/v10006-011-0004-3. D’Agostino, R. (1970). Transformation to normality of the null distribution of g1, Biometrika 57 (3): 679-681. D’Agostino, R., Belanger, A. and D’Agostino Jr., R. (1990). A suggestion for using powerful and informative tests of normality, The American Statistician 44 (4): 316-321. Demšar, J. (2006). Statistical comparisons of classifiers over multiple data sets, Journal of Machine Learning Research 7 : 1-30. Derrac, J

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Comparison Shopping Agents and Czech Online Customers’ Shopping Behaviour

.1016/j.chb.2016.09.026 Czech Statistical Office. (2015). Jednotlivci v České republice nakupující přes internet v letech 2005 až 2015 . Oficiální stránky Českého statistického úřadu. Retrieved from Doorenbos, R. B., Etzioni, O., & Weld, D. S. (1997, February). A scalable comparison-shopping agent for the world-wide web. In Proceedings of the First International Conference on Autonomous Agents (pp. 39-48). New York: ACM. E-commerce News

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Extensible Model for Comparison of Expressiveness of Object-Oriented Programming Languages

] Z. Anik and O. F. Baykoç, “Comparison of the most popular object-oriented software languages and criterions for introductory programming courses with analytic network process: a pilot study,” Computer Applications in Engineering Education , vol. 19, no. 1, pp. 89–96, March 2011. [13] N. Archvadze and M. Pkhovelishvili, “Reforming the trees – C# and F# comparison,” in Proceedings of the 4th International Conference on Problems of Cybernetics and Informatics (PCI) , Baku, Azerbaijan, Sep. 12–14, 2012, pp. 1–4. https

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Setting the Record Concering the Differences Between the Matte Quadri-Track and the Backster Zone Comparison Techniques

References Abrams, S. (1989). The Complete Polygraph Handbook . Lexington, Massachusetts, USA/Toronto, Canada: Lexington Books. Backster, C. (1969). Standardized Polygraph Notepack and Technique Guide . Backster Zone Comparison Technique. New York, NY. Backster, C. (1979). Standardized Polygraph Notepack and Technique Guide . Backster Zone Comparison Technique. New York, NY. Bailey, F.L., Rothblatt, H.B. (1970). Investigation and Preparation of Criminal Cases: Federal and State. Rochester, NY: The Lawyers Co-Operative Publishing

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Extension of Critical Difference for Product Comparison. Application to Tobacco Products

5. REFERENCES 1. Teillet, B., X. Cahours, T. Verron, S. Colard, and S.W. Purkis: Comparison of Smoke Yield Data Collected from Different Laboratories; Beitr.Tabakforsch. Int. 25 (2013) 662–670. DOI: 10.2478/cttr-2013-0943 2. International Organization for Standardization (ISO): ISO 5725-6:1994/Cor 1:2001 - Accuracy (Trueness and Precision) of Measurement Methods and Results – Part 6: Use in Practice of Accuracy Values – Technical Corrigendum 1; ISO, Geneva, Switzerland, 2001. 3. Eldridge, A., T.R. Betson, M.V. Gama, and K. McAdam: Variation in

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Multicenter Comparison of Four Contemporary Sensitive Troponin Immunoassays

C, Lubenow N, Kohl - mann T, Kallner A, Greinacher A, Nauck M. Comparison of the 99th percentiles of three troponin I assays in a large reference population. Clin Chem Lab Med 2013 Jul 12: 1-6. doi: 10.1515/cclm-2013-0113. [Epub ahead of print] 19. Koraćević G, Ćosić V, Stojanović I. False positive troponin - a true problem. J Med Biochem 2013; 32: 197-206. 20. Birkemeyer R, Dauch A, Müller A, Beck M, Schneider H, Ince H, Jung W, Wahler S. Short term cost effectiveness of a regional myocardial infarction network. Health Econ Rev

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Challenges of annotation and analysis in computer-assisted language comparison: A case study on Burmish languages

. 1911. A manual of the Lawngwaw or Maru language, containing: the grammatical principles of the language, glossaries of special terms, colloquial exercises, and Maru-English and English-Maru vocabularies. Rangoon: American Baptist mission Press. Corel, E., P. Lopez, R. Meheust and E. Bapteste. 2016. “Network-thinking: Graphs to analyze microbial complexity and evolution”. Trends in Microbiology 24(3). 224-237. Covington, M. 1996. “An algorithm to align words for historical comparison”. Computational Linguistics 22(4). 481

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