Home › Categories › Education & Learning› Sequential Effects Models

Sequential Effects Models.pdf

Wilder.pdf

🔗 Source: cs.colorado.edu

📊 Size: 435 KB

👤 Author: Mike Mozer

⬇️ Downloads: 152

Summary

Sequential effects in human behavior refer to the dependence of fluctuations in behavior on the exact sequence of recent events, influencing decisions, actions, and perceptions. These effects are present in various domains, including laboratory experiments, real-world situations like automobile driving, legal reasoning, and financial decisions, as well as in motor control and pain sensation. Three main computational explanations for sequential effects are: (1) predicting future events in a dynamic environment, (2) adjusting the sensitivity of perceptual and decisional processing, and (3) generalizing knowledge from the recent past to new experiences. Sequential effects are also categorized into neural inertia models and incremental learning models, with a strong connection to adaptation across all explanations.

Download File

Description

Sequential effects in human behavior refer to the dependence of fluctuations in behavior on the exact sequence of recent events, influencing decisions,...

Technical Information

File Format: PDF
File Size: 435 KB
Pages: 29
Language: EN
Author: Mike Mozer
Total Downloads: 152
Last Updated: 2 hours ago

Document Overview

This PDF document about Sequential Effects Models provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Sequential Effects Models.