Book contents
- Frontmatter
- Dedication
- Contents
- List of Figures
- Preface
- 1 Overview
- 2 Basic Concepts and Data
- 3 Sequential-Sampling Models of Decision Making
- 4 Obtaining Predictions for Diffusion Models
- 5 Empirical Assessment of Sequential-Sampling Models
- 6 Time-Varying Diffusion Models, I. Time Pressure, Urgency, Collapsing Boundaries, and Optimality
- 7 Diffusion Models for Time-Controlled Processing Tasks
- 8 Time-Varying Diffusion Models, II. Detection and Simple RT
- 9 Diffusion Processes Driven by Time-Varying Stimulus Representations in Visual Working Memory
- 10 Neural Diffusion Models, I. Network and Dynamical System Models
- 11 Neural Diffusion Models, II. Poisson Shot Noise and Related Models
- 12 Diffusion Models for Continuous-Outcome Decision Tasks
- 13 Response Confidence
- 14 EZ and Moment Models, Multialternative Decisions, and Expanded Judgment Tasks
- References
- Index
14 - EZ and Moment Models, Multialternative Decisions, and Expanded Judgment Tasks
Published online by Cambridge University Press: 26 October 2025
Book contents
- Frontmatter
- Dedication
- Contents
- List of Figures
- Preface
- 1 Overview
- 2 Basic Concepts and Data
- 3 Sequential-Sampling Models of Decision Making
- 4 Obtaining Predictions for Diffusion Models
- 5 Empirical Assessment of Sequential-Sampling Models
- 6 Time-Varying Diffusion Models, I. Time Pressure, Urgency, Collapsing Boundaries, and Optimality
- 7 Diffusion Models for Time-Controlled Processing Tasks
- 8 Time-Varying Diffusion Models, II. Detection and Simple RT
- 9 Diffusion Processes Driven by Time-Varying Stimulus Representations in Visual Working Memory
- 10 Neural Diffusion Models, I. Network and Dynamical System Models
- 11 Neural Diffusion Models, II. Poisson Shot Noise and Related Models
- 12 Diffusion Models for Continuous-Outcome Decision Tasks
- 13 Response Confidence
- 14 EZ and Moment Models, Multialternative Decisions, and Expanded Judgment Tasks
- References
- Index
Summary
Chapter 14 describes EZ models, in which parameters are estimated from response time means and variances without fitting the models to data, models of multialternative decisions, as arise in value-based decision tasks, and expanded judgment tasks, in which decisions are made about sequences of noisy stimulus elements. The chapter presents the EZ models of two-choice and continuous-outcome decisions and gives derivations of the response time mean and variance for both kinds of decision. It discusses the decision field theory of value-based decisions and its extensions to time-varying and multialternative decisions. It provides an analysis of multivariate optimality and conditions under which such optimality is implemented by diffusion models. It discusses models for expanded judgment tasks in which evidence entering the decision process is lost and emphasizes the role of memory processes in information loss, which may affect the shapes of response time distributions. It highlights the similarities and differences between one-shot decision tasks, in which the noise driving the decision process is internal, and expanded judgment tasks, in which the noise is external, and cautions against assuming the same models apply in both kinds of tasks.
Information
- Type
- Chapter
- Information
- Diffusion Process Models of Decision MakingFundamental Processes, pp. 431 - 483Publisher: Cambridge University PressPrint publication year: 2025
Accessibility standard: Unknown
Why this information is here
This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.Accessibility Information
Accessibility compliance for the PDF of this book is currently unknown
and may be updated in the future.