Effort and Accuracy in Choice.

Abstract

Individuals often use several different strategies such as the expected value rule, conjunctive rule, and elimination-by-aspects, to make decisions. It has been hypothesized that strategy selection is, in part, a function of the ability of a strategy to produce an accurate response and the strategy's demand for mental resources or effort. We examine effort and accuracy and their role in strategy selection. Several strategies that may be used to make choices under risk are simulated using a production system framework. This framework allows the estimation of the effort required to use the strategy in a choice environment, while simultaneously measuring its accuracy relative to a normative model. A series of Monte-Carlo studies varied several aspects of the choice environments, including the complexity of the task and the presence or absence of dominated alternatives. These simulations identify strategies which approximate the accuracy of normative procedures while requiring substantially less effort. These results, however, are highly contingent upon characteristics the task environment. Finally, we discuss the potential of production system models in understanding task effects in decisions and the learning of effort/accuracy tradeoffs. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA136881

Entities

People

  • E. J. Johnson
  • J. W. Payne

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Behavioral Sciences
  • Cognition
  • Computer Programs
  • Computer Simulations
  • Computers
  • Data Science
  • Databases
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Jet Propulsion
  • Military Research
  • Navy
  • Psychology
  • Systems Engineering

Fields of Study

  • Biology

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.