NUANCE 3.0: Using genetic programming to model variable relationships

Behavior Research Methods

Volumn 38, Issue 2, 2006, Pages 218-228

  Hollis, Geoff ^a   Westbury, Chris F ^a   Peterson, Jordan B ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; EQUIPMENT DESIGN; GENETICS; HUMAN; INFORMATION PROCESSING; INSTRUMENTATION; PSYCHOLOGICAL MODEL;

AUTOMATIC DATA PROCESSING; EQUIPMENT DESIGN; GENETICS; HUMANS; MODELS, PSYCHOLOGICAL;

EID: 33749033072     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03192772     Document Type: Article

References (21)

1. ANDREWS, S. (1989). Frequency and neighorhood effects on lexical access: Activation or search? Journal of Experimental Psychology: Learning, Memory, & Cognition, 15, 802-814.
2. BAAYEN, R. H. (2005). Data mining at the intersection of psychology and linguistics. In A. Cutler (Ed.), Twenty-first century psycholinguistics: Four cornerstones (pp. 69-83). Hillsdale, NJ: Erlbaum.
3. BAAYEN, R. H., PIEPENBROCK, R., & GULIKERS, L. (1995). The CELEX lexical database (Release 2) (CD-ROM). Philadelphia: University of Pennsylvania, Linguistic Data Consortium.
4. BALOTA, D., CORTESE, M., HUTCHISON, K., NEELY, J., NELSON, D., SIMPSON, G., ET AL. (2002). The English lexicon project: A Web-based repository of descriptive and behavioral measures for 40,481 English words and nonwords. Available at elexicon.wustl.edu.
5. BALOTA, D., CORTESE, M., SERGENT-MARSHALL, S., SPIELER, D., & YAP, M. (2005). Visual word recognition of single-syllable words. Journal of Experimental Psychology: General, 133, 283-316.
6. BLALOCK, H. (1972). Social statistics. New York: McGraw-Hill.
7. COLOMBO, L., & BURANI, C. (2002). The influence of age of acquisition, root frequency, and context availability in processing nouns and verbs. Brain & Language, 81, 398-411.
8. CUTLER, A. (1981). Making up materials is a confounded nuisance, or: Will we be able to run any psycholinguistic experiments at all in 1990? Cognition, 10, 65-70.
9. DAWSON, M. (2004). Minds and machines. Oxford: Blackwell.
10. DAWSON, M., & SCHOPFLOCHER, D. (1992). Modifying the generalized delta rule to train networks of nonmonotonic processors for pattern classification. Connection Science, 4, 19-31.
11. FEYERABEND, P. (1975). Against method. London: New Left Books.
12. HOLLAND, J. (1992). Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence. Cambridge, MA: MIT Press.
13. HOLLIS, G., & WESTBURY, C. (2006). NUANCE: Naturalistic University of Alberta Nonlinear Correlation Explorer. Behavior Research Methods, 38, 8-23.
14. MINSKY, M., & PAPERT, S. (1968). Perceptions: An introduction to computational geometry. Cambridge, MA: MIT Press.
15. MORRISON, C. M., & ELLIS, A. W. (2000). Real age of acquisition effects in word naming and lexical decision. British Journal of Psychology, 91, 167-180.
16. NEISSER, U. (1997). The future of cognitive science: An ecological analysis. In D. M. Johnson & C. E. Erneling (Eds.), The future of the cognitive revolution (pp. 247-260). New York: Oxford University Press.
17. PETERSON, J. (2005). To err is human; to predict, divine: Neuropsychological-cognitive profiles of error-prone pharmacists. Unpublished manuscript
18. POPPER, K. (1959). The logic of scientific discovery. New York: Harper & Row.
19. SHAOUL, C., & WESTBURY, C. (2006). Word frequency effects in high-dimensional co-occurence models: A new approach. Behavior Research Methods, 38, 190-195.
20. VAN ORDEN, G., & PAAP, K. (1997). Functional neuroimaging fails to discover pieces of mind in the parts of the brain. Philosophy of Science, 64, 85-94.
21. WESTBURY, C., BUCHANAN, L., ANDERSON, M., RHEMTULLA, M., & PHILLIPS, L. (2003). Using genetic programming to discover nonlinear variable interactions. Behavior Research Methods. Instruments, & Computers, 35, 202-216.