Dynamics of decision-making: From evidence accumulation to preference and belief

Frontiers in Psychology

Volumn 4, Issue OCT, 2013, Pages

  Usher, Marius ^a   Tsetsos, Konstantinos ^b   Yu, Erica C ^c   Lagnado, David A ^d  

^a TEL AVIV UNIVERSITY   (Israel)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY OF MARYLAND   (United States)

^d UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Belief; Data generating process; Decision making; Evidence accumulation; Problem solving

Indexed keywords

EID: 84909644417     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2013.00758     Document Type: Editorial

References (28)

1. Bhatia, S. (2013). Associations and the accumulation of preference. Psychol. Rev. 120, 522-543. doi: 10.1037/a0032457
2. Brown, S. D., and Heathcote, A. (2008). The simplest complete model of choice response time: linear ballistic accumulation. Cogn. Psychol. 57, 153-178. doi: 10.1016/j.cogpsych.2007.12.002
3. Busemeyer, J. R., and Townsend, J. T. (1993). Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. Psychol. Rev. 100, 432-459. doi: 10.1037/0033-295X.100.3.432
4. Davelaar, E. J., Goshen-Gottstein, Y., Ashkenazi, A., Haarmann, H. J., and Usher, M. (2005). The demise of short-term memory revisited: empirical and computational investigations of recency effects. Psychol. Rev. 112, 3-42. doi: 10.1037/0033-295X. 112.1.3
5. Dutt, V., and Gonzalez, C. (2012). The role of inertia in modeling decisions from experience with instance-based learning. Front. Psychol. 3:177. doi: 10.3389/fpsyg. 2012.00177
6. Fiedler, S., and Glockner, A. (2012). The dynamics of decision making in risky choice: an eye-tracking analysis. Front. Psychol. 3:335. doi: 10.3389/fpsyg.2012.00335
7. Fox, J., Cooper, R. P., and Glasspool, D. W. (2013). A canonical theory of dynamic decisionmaking. Front. Psychol. 4:150. doi: 10.3389/fpsyg.2013.00150
8. Gold, J. I., and Shadlen, M. N. (2007). The neural basis of decision making. Annu. Rev. Neurosci. 30, 535-574. doi: 10.1146/ annurev.neuro.29.051605.113038
9. Goldfarb, S., Wong-Lin, K., Schwemmer, M., Leonard, N. E., and Holmes, P. (2012). Can post-error dynamics explain sequential reaction time patterns? Front. Psychol. 3:213. doi: 10.3389/fpsyg.2012.00213
10. Heathcote, A., and Love, J. (2012). Linear deterministic accumulator models of simple choice. Front. Psychol. 3:292. doi: 10.3389/fpsyg.2012.00292
11. Knox, W. B., Otto, A. R., Stone, P., and Love, B. C. (2011). The nature of belief-directed exploratory choice in human decisionmaking. Front. Psychol. 2:398. doi: 10.3389/fpsyg.2011.00398
12. Krajbich, I., Lu, D., Camerer, C., and Rangel, A. (2012). The attentional drift-diffusion model extends to simple purchasing decisions. Front. Psychol. 3:193. doi: 10.3389/fpsyg.2012.00193
13. Lange, N. D., Thomas, R. P., and Davelaar, E. J. (2012). Temporal dynamics of hypothesis generation: the influences of data serial order, data consistency, and elicitation timing. Front. Psychol. 3:215. doi: 10.3389/fpsyg.2012.00215
14. Osman, M., and Speekenbrink, M. (2012). Prediction and control in a dynamic environment. Front. Psychol. 3:68. doi: 10.3389/fpsyg.2012.00068
15. Ratcliff, R., and McKoon, G. (2008). The diffusion decision model: theory and data for two-choice decision tasks. Neural Comput. 20, 873-922. doi: 10.1162/neco.2008.12-06-420
16. Roe, R. M., Busemeyer, J. R., and Townsend, J. T. (2001). Multialternative decision field theory: a dynamic connectionist model of decision making. Psychol. Rev. 108, 370-392. doi: 10.1037/0033-295X.108.2.370
17. Simen, P. (2012). Evidence accumulator or decision threshold - which cortical mechanism are we observing? Front. Psychol. 3:183. doi: 10.3389/fpsyg.2012.00183
18. Sutton, R. S., and Barto, A. G. (1998). Introduction to Reinforcement Learning. Cambridge: MIT Press.
19. Thomas, R. P., Dougherty, M. R., Sprenger, A. M., and Harbison, J. I. (2008). Diagnostic hypothesis generation and human judgment. Psychol. Rev. 115, 155-185. doi: 10.1037/0033-295X.115.1.155
20. Trueblood, J. S., and Busemeyer, J. R. (2012). A quantum probability model of causal reasoning. Front. Psychol. 3:138. doi: 10.3389/fpsyg.2012.00138
21. Tsetsos, K., Gao, J., Mcclelland, J. L., and Usher, M. (2012). Using time-varying evidence to test models of decision dynamics: bounded diffusion vs. the leaky competing accumulator model. Front. Neurosci. 6:79. doi: 10.3389/fnins.2012.00079
22. Usher, M., and Mcclelland, J. L. (2001). The time course of perceptual choice: the leaky, competing accumulator model. Psychol. Rev. 108, 550-592. doi: 10.1037/0033-295X.108.3.550
23. Usher, M., and Mcclelland, J. L. (2004). Loss aversion and inhibition in dynamical models of multialternative choice. Psychol. Rev. 111, 757-769. doi: 10.1037/0033-295X.111.3.757
24. van Ravenzwaaij, D., Mulder, M. J., Tuerlinckx, F., and Wagenmakers, E. J. (2012). Do the dynamics of prior information depend on task context? An analysis of optimal performance and an empirical test. Front. Psychol. 3:132. doi: 10.3389/fpsyg.2012.00132
25. van Vugt, M. K., Simen, P., Nystrom, L. E., Holmes, P., and Cohen, J. D. (2012). EEG oscillations reveal neural correlates of evidence accumulation. Front. Neurosci. 6:106. doi: 10.3389/fnins.2012.00106
26. Wollschlager, L. M., and Diederich, A. (2012). The 2N-ary choice tree model for N-alternative preferential choice. Front. Psychol. 3:189. doi: 10.3389/fpsyg. 2012.00189
27. Yu, E. C., and Lagnado, D. A. (2012). The influence of initial beliefs on judgments of probability. Front. Psychol. 3:381. doi: 10.3389/fpsyg.2012.00381
28. Zhang, J. (2012). The effects of evidence bounds on decisionmaking: theoretical and empirical developments. Front. Psychol. 3:263. doi: 10.3389/fpsyg. 2012.00263