Multialternative Decision Field Theory: A Dynamic Connectionist Model of Decision Making

By Robert M. Roe, Jerome R. Busemeyer, James T. Townsend. 2001

399 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/a2d961426f039d7de6580d6c3ff15111c04e9498

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Roger Ratcliff
2. Philip L. Smith
3. Scott D. Brown
4. Gail McKoon
5. Joseph G. Johnson
6. Paul Cisek
7. Pablo Gómez
8. Eric-Jan Wagenmakers

In General Decision Sciences

1. Roger Ratcliff
2. Scott D. Brown
3. Philip L. Smith
4. Gail McKoon
5. Joseph G. Johnson
6. Paul Cisek
7. Pablo Gómez
8. Eric-Jan Wagenmakers

In Marketing

1. Yue Shi
2. Joseph G. Johnson
3. Roger Ratcliff
4. Martha A. Larson
5. Alan Hanjalic
6. Gail McKoon
7. Paul Cisek
8. Pablo Gómez

Citations in the corpus

• Integrated Neural Processes for Defining Potential Actions and Deciding between Them: A Computational Model (2006, background): “…class of theories called “sequential sampling models,” which suggest that decision making involves the gradual accumulation of information about given choices until a threshold is reached (Roe et al., 2001; Usher and McClelland, 2001; Mazurek et al., 2003; Reddi et al.,2003;SmithandRatcliff,2004).”
• The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks (2008, neutral): “& Townsend, 1993; Diederich & Busemeyer, 2003; Gold & Shadlen, 2001; Laming,1968;Link,1992;LinkHPalmer,Huk,S Ratcliff,1978,1981,1988,2002;Ratcliff,Cherian,SRatcliff& Rouder, 1998, 2000; Ratcliff & Smith, 2004; Ratcliff, Van Zandt, & McKoon, 1999; Roe, Busemeyer, & Townsend, 2001; Stone, 1960; Voss”
• Collaborative Filtering beyond the User-Item Matrix (2014, background): “Although various types of interaction exist between recommenders and users, the key issue that we would like to highlight is how can the information from the interactions, such as conversations and explanations, be exploited effectively for improving the recommendation quality? In other words, we ne”
• A diffusion model account of the lexical decision task. (2004, methodology): “Diffusion models have also been applied in the domains of simple RT (Smith, 1995) and decision making (Busemeyer & Townsend, 1992, 1993; Diederich, 1997; Roe, Busemeyer, & Townsend, 2001 ), and diffusion models are close cousins of random walk models (Laming, 1968; Link, 1975; Link, 1992; Link & He”
• Cognitive modeling of decision making in sports (2006, methodology): “The formulation given here provides a conceptual system for simulation (Roe et al., 2001).”
• Diffusion Decision Model: Current Issues and History (2016, methodology): “Later, a multialternative version of DFT was used to account for the context effects (similarity, attraction, compromise effects) on choice found by consumer researchers [181].”