2002
DOI: 10.1016/s0165-4896(02)00016-1
|View full text |Cite
|
Sign up to set email alerts
|

Survey of decision field theory

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

3
181
0
1

Year Published

2003
2003
2023
2023

Publication Types

Select...
8
2

Relationship

2
8

Authors

Journals

citations
Cited by 222 publications
(187 citation statements)
references
References 24 publications
3
181
0
1
Order By: Relevance
“…For example, we might assume a probability distribution for which attribute is considered first, or we may allow switching back and forth between attributes, or we may allow a distribution for the switching probabilities, and so on. For details, see Diederich (1997) and also Busemeyer and Diederich (2002). Figure 9 presents the model for same stimuli.…”
Section: Two-stage-processing Hypothesismentioning
confidence: 99%
“…For example, we might assume a probability distribution for which attribute is considered first, or we may allow switching back and forth between attributes, or we may allow a distribution for the switching probabilities, and so on. For details, see Diederich (1997) and also Busemeyer and Diederich (2002). Figure 9 presents the model for same stimuli.…”
Section: Two-stage-processing Hypothesismentioning
confidence: 99%
“…In a sense, one could say that Roe et al's MDFT assumes that attributes are processed in parallel, whereas in the approach presented here, the attributes are processed in a serial manner. For details, see Busemeyer and Diederich (2002). The preference process stops and a decision is initiated as soon as the process reaches a decision criterion,…”
Section: Multiattribute Decision Field Theorymentioning
confidence: 99%
“…In contrast to these outcome-oriented models, many cognitive approaches to decision making aim for a description of the processes that underlie observable choices (e.g., Busemeyer & Diederich, 2002;Lewandowsky & Farrell, 2011). Within this category, sequential sampling models represent a particularly promising approach (e.g., Busemeyer & Townsend, 1993;Scheibehenne, Rieskamp, & Gonzalez-Vallejo, 2009;Usher & McClelland, 2004).…”
mentioning
confidence: 99%