Modeling of Characteristics on Artificial Intelligence IQ Test: a Fuzzy Cognitive Map-Based Dynamic Scenario Analysis
AbstractThis research article uses a Fuzzy Cognitive Map (FCM) approach to improve an earlier proposed IQ test characteristics of Artificial Intelligence (AI) systems. The defuzzification process makes use of fuzzy logic and the triangular membership function along with linguistic term analyses. Each edge of the proposed FCM is assigned to a positive or negative influence type associated with a quantitative weight. All the weights are based on the defuzzified value in the defuzzification results. This research also leverages a dynamic scenario analysis to investigate the interrelationships between driver concepts and other concepts. Worst and best-case scenarios have been conducted on the correlation among concepts. We also use an inference simulation to examine the concepts importance order and the FCM convergence status. The analysis results not only examine the FCM complexity, but also draws insightful conclusions.
 Agrawal, R.; Mannila, H.; Srikant, R.; Toivonen, H.; Verkamo, A. I. (1996). Fast discovery of association rules. Advances in knowledge discovery and data mining, 12(1), 307-328, 1996.
 Alexander, P. A.; Jetton, T. L.; Kulikowich, J. M. (1995). Interrelationship of knowledge, interest, and recall: Assessing a model of domain learning, Journal of educational psychology, 87(4), 559, 1995.
 Askew, M. (1998). Teaching Primary Mathematics: A guide for newly qualified & student teachers. Hodder & Stoughton, 1998.
 Baroody, A. J. (1999). Children's relational knowledge of addition and subtraction, Cognition and Instruction, 17(2), 137-175, 1999.
 Bereiter, C.; Scardamalia, M. (1989). Intentional learning as a goal of instruction. Knowing, learning, and instruction: Essays in honor of Robert Glaser, 361-392, 1989.
 Bostic, K. (2013). Nuance confirms its voice technology is behind Apple's Siri, AppleInsider, 2013.
 Chen, G. S.; Jheng, Y.; Liu, H.; Chen, S. (2007). A novel scoring method for stroke order based on choquet integral with fuzzy measure, Proceedings of the 7th Conference on 7th WSEAS international Conference on Applied Computer Science, 7, 82-87, 2007.
 Collombat, I. (2006). General knowledge: A basic translation problem solving Tool. Translation Studies in the new Millennium, Bilkent University, 2006.
 Cowan, R.; Donlan, C.; Shepherd, D. L.; Cole-Fletcher, R., Saxton, M.; Hurry, J. (2011). Basic calculation proficiency and mathematics achievement in elementary school children. Journal of Educational Psychology, 103(4), 786, 2011.
 De Smedt, B.; Reynvoet, B.; Swillen, A.; Verschaffel, L.; Boets, B.; Ghesquiere, P. (2009). Basic number processing and difficulties in single-digit arithmetic: Evidence from Velo- Cardio-Facial Syndrome, Cortex, 45(2), 177-188, 2009.
 De Smedt, B.; Gilmore, C. K. (2011). Defective number module or impaired access? Numerical magnitude processing in first graders with mathematical difficulties, Journal of experimental child psychology, 108(2), 278-292, 2011.
 Delisle, J. (2003). Manuel d'initiation a la traduction professionnelle de l'anglais vers le francais La traduction raisonnee, 2e edition, University of Ottawa Press, 2003.
 Dzitac, I.; Filip, F. G.; Manolescu M.J. (2017). Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lotfi A. Zadeh, International Journal of Computers Communications & Control, 12(6), 748-789, 2017.
 Feigenson, L.; Dehaene, S.; Spelke, E. (2004). Core systems of number. Trends in cognitive sciences, 8(7), 307-314, 2004.
 Gopnik, A.; Meltzoff, A. N. (1984). Semantic and cognitive development in 15-to 21-monthold children, Journal of child language, 11(3), 495-513, 1984.
 Hull, J. J. (1994). A database for handwritten text recognition research, IEEE Transactions on pattern analysis and machine intelligence, 16(5), 550-554, 1994.
 Klahr, D.; Dunbar, K. (1988). Dual space search during scientific reasoning. Cognitive science, 12(1), 1-48, 1988.
 Klir, G.; Yuan, B. (1995). Fuzzy sets and fuzzy logic , 4, New Jersey, Prentice Hall, 1995.
 Koperski, K.; Han, J. (1995). Discovery of spatial association rules in geographic information databases, International Symposium on Spatial Databases, Springer, Berlin, Heidelberg, 47- 66, 1995.
 Lewis-Beck, M.; Bryman, A. E.; Liao, T. F. (2003). The Sage encyclopedia of social science research methods, Sage Publications, 2003.
 Linnenbrink-Garcia, L.; Pugh, K. J.; Koskey, K. L.; Stewart, V. C. (2012). Developing conceptual understanding of natural selection: The role of interest, efficacy, and basic prior knowledge. The Journal of Experimental Education, 80(1), 45-68, 2012.
 Liu, F.; Shi, Y.; Wang, B. (2015). World search engine IQ test based on the internet IQ evaluation algorithms, International Journal of Information Technology & Decision Making, 14(02), 221-237, 2015.
 Liu, F.; Zhang, Y.; Shi, Y.; Chen, Z.; Feng, X. (2018). Analyzing the Impact of Characteristics on Artificial Intelligence IQ Test: A Fuzzy Cognitive Map Approach, Procedia computer science, 139, 82-90, 2018.
 Luhn, H. P. (1958). The automatic creation of literature abstracts. IBM Journal of research and development, 2(2), 159-165, 1958.
 MacDonald, N. (1983). Trees and networks in biological models, 1983.
 Mago, V. K.; Morden, H. K.; Fritz, C.; Wu, T.; Namazi, S.; Geranmayeh, P.; Dabbaghian, V. (2013). Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach. BMC medical informatics and decision making, 13(1), 94, 2013.
 Mandler, J. M.; Bauer, P. J. (1988). The cradle of categorization: Is the basic level basic?, Cognitive development, 3(3), 247-264, 1988.
 Miyake, N.; Norman, D. A. (1979). To ask a question, one must know enough to know what is not known, Journal of verbal learning and verbal behavior, 18(3), 357-364, 1979.
 Nation, K.; Snowling, M. J. (1998). Semantic processing and the development of wordrecognition skills: Evidence from children with reading comprehension difficulties. Journal of memory and language, 39(1), 85-101, 1998.
 Njoo, M.; De Jong, T. (1993). Exploratory learning with a computer simulation for control theory: Learning processes and instructional support. Journal of research in science teaching, 30(8), 821-844, 1993.
 Piatetsky-Shapiro, G. (1996). Advances in knowledge discovery and data mining (Vol. 21). U. M. Fayyad, P. Smyth, R. Uthurusamy (Eds.). Menlo Park: AAAI press, 1996.
 Poole, D. L.; Mackworth, A. K.; Goebel, R. (1998). Computational intelligence: a logical approach, 1, New York: Oxford University Press, 1998.
 Qian, G.; Alvermann, D. (1995). Role of epistemological beliefs and learned helplessness in secondary school students' learning science concepts from text. Journal of educational psychology, 87(2), 282, 1995.
 Rugg, G.; McGeorge, P. (1997). The sorting techniques: a tutorial paper on card sorts, picture sorts and item sorts, Expert Systems, 14(2), 80-93, 1997.
 Rusell, S.; Norvig, P. (2003). Artificial intelligence: A modern approach. Prentice Hall Series in Artificial Intelligence, 1, 2003.
 Salmeron, J. L. (2012). Fuzzy Cognitive Maps for Artificial Emotions Forecasting , Applied Soft Computing. 12 (2), 3704-3710, 2012.
 Scardamalia, M.; Bereiter, C. (1992). Text-based and knowledge based questioning by children, Cognition and instruction, 9(3), 177-199, 1992.
 Stanovich, K. E.; Bauer, D. W. (1978). Experiments on the spelling-to-sound regularity effect in word recognition, Memory & Cognition, 6(4), 410-415, 1978.
 Stanovich, K. E. (1991). Word recognition: Changing perspectives. Handbook of reading research, 2, 418-452, 1991.
 Talaya, A. E. (2008). Principios de marketing. Esic Editorial, 2008.
 Van Joolingen, W. (1998). Cognitive tools for discovery learning, 1998.
 Wang, K.; Babenko, B.; Belongie, S. (2011). End-to-end scene text recognition. 2011 International Conference on Computer Vision, IEEE, 1457-1464, 2011.
 Zhu, Y.; Tan, T.; Wang, Y. (2001). Font recognition based on global texture analysis. IEEE Transactions on pattern analysis and machine intelligence, 23(10), 1192-1200, 2001.
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