The IBL theory (IBLT) was developed to demonstrate the cognitive processes and mechanisms involved in dynamic decision making. IBLT has been implemented in several ACT-R cognitive models that showcase a variety of training effects and generate predictions resulting from several training manipulations. Particular implementations of IBLT-based models of training may depend on the task representation, the cues that are important for that task, and the particular decision actions involved, but the cognitive processes followed are generic. Here, we summarize different cognitive models for a diverse set of tasks relying on the IBLT. We also present an initial implementation of an IBL modeling tool that will help researchers develop their own IBL models without a need to program in ACT-R.
Get full access to this article
View all access options for this article.
References
1.
AndersonJ. R.LebiereC. (1998). The atomic components of thought. Hillsdale, NJ: Lawrence Erlbaum Associates.
2.
AndersonJ. R.LebiereC. (2003). The Newell test for a theory of mind. Behavioral and Brain Sciences, 26(5), 587–639.
3.
DuttV.GonzalezC.YamaguchiM.ProctorR. W. (2010). Instance-based learning models of SRC and Simon effects. Unpublished manuscript in preparation.
4.
GonzalezC.BestB. J.HealyA. F.BourneL. E.JrKoleJ. A. (2010). A cognitive modeling account of fatigue. Unpublished manuscript under review.
5.
GonzalezC.DuttV. (2010). Making Instance-Based Learning Theory transparent. Unpublished manuscript in preparation.
6.
GonzalezC.DuttV.HealyA. F.YoungM. D.BourneL. E. (2009). Comparison of instance and strategy models in ACT-R. In HowesA.PeeblesD.CooperR. (Eds.), Proceedings of the 9th International Conference on Cognitive Modeling — ICCM2009. Manchester, UK.
7.
GonzalezC.LebiereC. (2005). Instance-based cognitive models of decision making. In ZizzoD.CourakisA. (Eds.), Transfer of knowledge in economic decision-making. New York: Macmillan.
GonzalezC.ThomasR. P. (2008). Effects of automatic detection on dynamic decision making. Journal of Cognitive Engineering and Decision Making, 2(4), 328–348.
10.
HealyA. F.BourneL. E.Jr. (2010). Principles of training. Paper to be presented at Human Factors and Ergonomics Society 54th Annual Meeting.
11.
KoleJ. A.HealyA. F.BourneL. E.Jr. (2008). Cognitive complications moderate the speed-accuracy tradeoff in data entry: A cognitive antidote to inhibition. Applied Cognitive Psychology, 22, 917–937.
12.
LebiereC. (1999). Blending: An ACT-R mechanism for aggregate retrievals. Paper presented at the Sixth Annual ACT-R Workshop at George Mason University.
13.
LebiereC.GonzalezC.MartinM. (2007). Instance-based decision making model of repeated binary choice. In LewisR. L.PolkT. A.LairdJ. E. (Eds.), Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, MI.
14.
LejarragaT.DuttV.GonzalezC. (2010). Instance-based learning in repeated binary choice. Unpublished manuscript in preparation.
15.
LovettM. C.RederL. M.LebiereC. (1999). Modeling working memory in a unified architecture: An ACT-R perspective. In MiyakeA.ShahP. (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 135–182). New York: Cambridge University Press.
16.
MartinM. K.GonzalezC.LebiereC. (2004). Learning to make decisions in dynamic environments: ACT-R plays the beer game. In LovettM. C.SchunnC. D.LebiereC.MunroP. (Eds.), Proceedings of the Sixth International Conference on Cognitive Modeling (Vol. 420, pp. 178–183). Pittsburgh, PA: Lawrence Erlbaum Associates Publishers.
17.
ProctorR. W.YamaguchiM.ZhangY.VuK. L. (2009). Influence of visual stimulus mode on transfer of acquired spatial associations. Journal of Experimental Psychology: Learning, Memory, & Cognition, 35(2), 434–445.
18.
SimonH. A. (1990). Invariants of human behavior. Annual Review of Psychology, 41, 1–19.
19.
YamaguchiM.DuttV.GonzalezC.ProctorR. W. (2010). Mixed stimulus-response compatibility effects and Simon effect. Unpublished manuscript in preparation.
20.
YamaguchiM.ProctorR. W. (2006). Stimulus-response compatibility with pure and mixed mappings in a flight task environment. Journal of Experimental Psychology: Applied, 12(4), 207–222.
21.
YoungM. D.HealyA. F.GonzalezC.BourneL. E.Jr. (2007). The effects of training difficulty on RADAR detection. Paper presented at the Joint Meeting of the Experimental Psychology Society and the Psychonomic Society.
