Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Big Data and Big Data Analytics Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

12. Artificial Intelligence IQ Test

verfasst von : Yong Shi

Erschienen in: Advances in Big Data Analytics

Verlag: Springer Nature Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Since 2015, “artificial intelligence” has become a popular topic in science, technology, and industry. New products such as intelligent refrigerators, intelligent air conditioning, smart watches, smart robots, and of course, artificially intelligent mind emulators produced by companies such as Google and Baidu continue to emerge. However, the view that artificial intelligence is a threat remains persistent. An operation is that if we compare the developmental levels of artificial intelligence products and systems with measured human intelligence quotients (IQs), can we develop a quantitative analysis method to assess the problem of artificial intelligence threat?

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Healthcare Applications
Literatur
1.
2.
Liu, F., Shi, Y., Liu, Y.: Intelligence quotient and intelligence grade of artificial intelligence. Ann. Data Sci. 4(2), 179–191 (2017)CrossRef
3.
Liu, F., Shi, Y., Wang, B.: World search engine iq test based on the internet iq evaluation algorithms. IJITDM. 14(02), 221–237 (2015)
4.
5.
Liu, F., Peng, Y., Chen, Z., Shi, Y.: Modeling of characteristics on artificial intelligence IQ test: a fuzzy cognitive map-based dynamic scenario analysis. Int. J. Comput. Commun. Control. 14(6), 653–669 (2019)CrossRef
6.
Liu, F.: Internet IQ evaluation systems and algorithms. Complex Syst. Complex. Sci. 12, 104–115 (2013)
7.
Shi, B., He, Y., Wu, C.: Research on search strategy of web spider in topic-oriented search engines. Comput. Eng. App. 50(2), 116–119, 128 (2014) CSCD:5056620
8.
Xu, J.: Study on development trend of search engine. Modern Inf. 31(9) (2011)
9.
Ma, M., Fang, T.: Analysis on the legality of search engine robots’ crawling behavior. J. Xi’an Jiaotong Univ. 33(5) (2013)
10.
Zhang, X., Song, Y.: Research on the hotlines of the subjects of search engine based on the scientific knowledge mapping. Sci. Technol. Manag. Res. (18) (2011)
11.
12.
Liu, S.: Geometric analogical reasoning test for feasibility study of cognitive diagnosis. Ph.D. thesis, Jiangxi Normal University, Nanchang (2007)
13.
Wang, Y.: Construction and application of synergistic learning system. Ph.D. thesis, East China Normal University, Shanghai (2009)
14.
Liu, F.: Search engine IQ test based on the internet IQ evaluation algorithms. Ph.D. thesis, Beijing Jiaotong University, Beijing (2015)
15.
Martin, A.P., Naylor, G.J.P., Palumbi, S.R.: Rates of mitochondrial dna evolution in sharks are slow compared with mammals. Nature. 357(6374), 153–155 (1992)CrossRef
16.
17.
Enard, W., Przeworski, M., Fisher, S.E., Lai, C.S.L., Wiebe, V., Kitano, T., Monaco, A.P., Pääbo, S.: Molecular evolution of foxp2, a gene involved in speech and language. Nature. 418(6900), 869–872 (2002)CrossRef
18.
Liu, F., Shi, Y.: Research on artificial intelligence ethics based on the evolution of population knowledge base. In: Shi, Z., Pennartz, C., Huang, T. (eds.) Intelligence Science II, pp. 455–464. Springer International Publishing, Cham (2018)CrossRef
19.
Schroedinger, E.: What is life? The physical aspect of the living cell; with, mind and matter, autobiographical sketches (1992)
20.
Winston, P.H., Brown, R.H.: Artificial Intelligence, an MIT Perspective. MIT Press, Cambridge, MA (1984)
21.
Durkheim, E.: Les Formes Elementaires de la Vie Religieuse, pp. 78–79 (2006)
22.
Henmon, V., Burns, H.M.: The constancy of intelligence quotients with borderline and problem cases. J. Educ. Psychol. 14(4), 247 (1923)CrossRef
23.
Binet, A.: The mind and the brain (psychology revivals) (2013)
24.
25.
Tulving, E.: Memory and consciousness. Can. Psychol. 26(1), 1–12 (1985)CrossRef
26.
Chen, G.S., Jheng, Y.D., Liu, H.C., Chen, S.Y.: A novel scoring method for stroke order based on Choquet integral with fuzzy measure. In: Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7, ACS’07, p. 82C87. World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, WI (2007)
27.
Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.): Advances in Knowledge Discovery and Data Mining. American Association for Artificial Intelligence, New York (1996)
28.
Stanovich, K.E., Bauer, D.W.: Experiments on the spelling-to-sound regularity effect in word recognition. Mem. Cogn. 6(4), 410–415 (1978)CrossRef
29.
Stanovich, K.E.: Word recognition: changing perspectives. In: Handbook of Reading Research, vol. 2, pp. 418–452. Lawrence Erlbaum Associates, Inc, Hillsdale, NJ (1991)
30.
Nation, K., Snowling, M.J.: Semantic processing and the development of word-recognition skills: evidence from children with reading comprehension difficulties. J. Mem. Lang. 39(1), 85–101 (1998)CrossRef
31.
Hull, J.J.: A database for handwritten text recognition research. IEEE Trans. Pattern Anal. 16(5), 550–554 (2002)CrossRef
32.
33.
Wang, K., Babenko, B., Belongie, S.: End-to-end scene text recognition. In: IEEE International Conference on Computer Vision (2012)
34.
Collombat, I.: General knowledge: a basic translation problem solving tool. Transl. Stud. N. Millenium. 4, 59–66 (2006)
35.
Delisle, J.: La traduction raisonnée, 2é edition: Manuel d'initiation à la traduction professionnelle de l'anglais vers le franais. University of Ottawa Press, Ottawa (2003)
36.
Baroody, A.J.: Children’s relational knowledge of addition and subtraction. Cogn. Instr. 17(2), 137–175 (1999)CrossRef
37.
Cowan, R., Donlan, C., Shepherd, D.L., Cole-Fletcher, R., Saxton, M., Hurry, J.: Basic calculation proficiency and mathematics achievement in elementary school children. J. Educ. Psychol. 103(4), 786–803 (2011)CrossRef
38.
Askew, M.: Teaching Primary Mathematics: A Guide for Newly Qualified & Student Teachers. Hodder & Stoughton, London (1998)
39.
40.
Mandler, J.M., Bauer, P.J.: The cradle of categorization: is the basic level basic? Cogn. Dev. 3(3), 247–264 (1988)CrossRef
41.
Gopnik, A., Meltzoff, A.N.: Semantic and cognitive development in 15-to 21-month-old children. J. Child Lang. 11(03) (1984)
42.
43.
Smedt, B.D., Reynvoet, B., Swillen, A., Verschaffel, L., Boets, B., Ghesquire, P.: Basic number processing and difficulties in single-digit arithmetic evidence from velo-cardio-facial syndrome. Cortex. 45(2), 177–188 (2009)CrossRef
44.
Smedt, B.D., Gilmore, C.K.: Defective number module or impaired access? Numerical magnitude processing in first graders with mathematical difficulties. J. Exp. Child Psychol. 108(2), 278–292 (2010)CrossRef
45.
Afuah, A.: Innovation management: strategies, implementation, and profits (2003)
46.
Talaya, G.E.: Principios de marketing (2008)
47.
Bereiter, C., Scardamalia, M.: Text-based and knowledge based questioning by children. Cogn. Instr. 9(3), 177–199 (1992)CrossRef
48.
Naomi, M., Norman, D.A.: To ask a question, one must know enough to know what is not known. J. Verbal Learn. Verbal Behav. (1979)
49.
Bereiter, C., Scardamalia, M., et al.: Intentional learning as a goal of instruction. In: Knowing, Learning, and Instruction: Essays in Honor of Robert Glaser, pp. 361–392 (1989)
50.
Alexander, P.A., Jetton, T.L., Kulikowich, J.M.: Interrelationship of knowledge, interest, and recall: assessing a model of domain learning. J. Educ. Psychol. 87(4), 559–575 (1995)CrossRef
51.
Qian, G., Alvermann, D.: Role of epistemological beliefs and learned helplessness in secondary school students’ learning science concepts from text. J. Educ. Psychol. 87(2), 282 (1995)CrossRef
52.
Linnenbrink-Garcia, L., Pugh, K.J., Koskey, K.L., Stewart, V.C.: Developing conceptual understanding of natural selection: the role of interest, efficacy, and basic prior knowledge. J. Exp. Educ. 80(1), 45–68 (2012)CrossRef
53.
Njoo, M., De Jong, T.: Exploratory learning with a computer simulation for control theory: learning processes and instructional support. J. Res. Sci. Teach. 30(8), 821–844 (1993)CrossRef
54.
Klahr, D., Dunbar, K.: Dual space search during scientific reasoning. Cogn. Sci. 12(1) (1988)
55.
Joolingen, W.V.: Cognitive tools for discovery learning. Int. J. Artif. Intell. Educ. 10(3) (1998)
56.
Agrawal, R.: Fast discovery of association rules. In: Advances in Knowledge Discovery Data Mining. The MIT Press, Cambridge, MA (1996)
57.
Koperski, K., Han, J.: Discovery of spatial association rules in geographic information databases. In: Proceedings of the 4th International Symposium on Advances in Spatial Databases, SSD ’95, p. 47C66. Springer-Verlag, Berlin (1995)
58.
59.
Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice-Hall, Inc., Upper Saddle River, NJ (1994)MATH
60.
Mago, V.K., Morden, H.K., Fritz, C., Wu, T., Dabbaghian, V.: Analyzing the impact of social factors on homelessness: a fuzzy cognitive map approach. BMC Medical Informatics Decis. Making. 13 (2013)
61.
62.
MacDonald, N.: Trees and networks in biological models (1983)
63.
Liu, F., Zhang, Y., Shi, Y., Chen, Z., Feng, X.: Analyzing the impact of characteristics on artificial intelligence iq test: a fuzzy cognitive map approach. Proc. Comput. Sci. 139, 82–90 (2018)CrossRef
Metadaten
Titel
Artificial Intelligence IQ Test
verfasst von
Yong Shi
Copyright-Jahr
2022
Verlag
Springer Nature Singapore
Buch
Advances in Big Data Analytics

Print ISBN: 978-981-16-3606-6

Electronic ISBN: 978-981-16-3607-3

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-981-16-3607-3_12