Book contents
- Frontmatter
- Contents
- Preface
- 1 Information Processing and Intelligence: Where We Are and Where We Are Going
- 2 Mental Chronometry and the Unification of Differential Psychology
- 3 Reductionism versus Charting: Ways of Examining the Role of Lower-Order Cognitive Processes in Intelligence
- 4 Basic Information Processing and the Psychophysiology of Intelligence
- 5 The Neural Bases of Intelligence: A Perspective Based on Functional Neuroimaging
- 6 The Role of Working Memory in Higher-Level Cognition: Domain-Specific versus Domain-General Perspectives
- 7 Higher-Order Cognition and Intelligence
- 8 Ability Determinants of Individual Differences in Skilled Performance
- 9 Complex Problem Solving and Intelligence: Empirical Relation and Causal Direction
- 10 Intelligence as Smart Heuristics
- 11 The Role of Transferable Knowledge in Intelligence
- 12 Reasoning Abilities
- 13 Measuring Human Intelligence with Artificial Intelligence: Adaptive Item Generation
- 14 Marrying Intelligence and Cognition: A Developmental View
- 15 From Description to Explanation in Cognitive Aging
- 16 Unifying the Field: Cognition and Intelligence
- Author Index
- Subject Index
- References
10 - Intelligence as Smart Heuristics
Published online by Cambridge University Press: 23 November 2009
- Frontmatter
- Contents
- Preface
- 1 Information Processing and Intelligence: Where We Are and Where We Are Going
- 2 Mental Chronometry and the Unification of Differential Psychology
- 3 Reductionism versus Charting: Ways of Examining the Role of Lower-Order Cognitive Processes in Intelligence
- 4 Basic Information Processing and the Psychophysiology of Intelligence
- 5 The Neural Bases of Intelligence: A Perspective Based on Functional Neuroimaging
- 6 The Role of Working Memory in Higher-Level Cognition: Domain-Specific versus Domain-General Perspectives
- 7 Higher-Order Cognition and Intelligence
- 8 Ability Determinants of Individual Differences in Skilled Performance
- 9 Complex Problem Solving and Intelligence: Empirical Relation and Causal Direction
- 10 Intelligence as Smart Heuristics
- 11 The Role of Transferable Knowledge in Intelligence
- 12 Reasoning Abilities
- 13 Measuring Human Intelligence with Artificial Intelligence: Adaptive Item Generation
- 14 Marrying Intelligence and Cognition: A Developmental View
- 15 From Description to Explanation in Cognitive Aging
- 16 Unifying the Field: Cognition and Intelligence
- Author Index
- Subject Index
- References
Summary
“The great end of life is not knowledge but action”
Thomas H. Huxley (1825–1895)Humans and other animals differ in the amount of intelligence ascribed to them or that can be tested. Observed behavior reflects the underlying cognitive abilities of the individual that are either thought of as a general device system or a system of more or less independent parts. On this continuum, the view of intelligence as fast and frugal heuristics orientates toward a concept that models intelligence as parts (tools) of a larger system (adaptive toolbox). This view departs from the notion of intelligence as an assembly of “factors”: either one (g), a few, or many. The idea that one could model the intelligence of a person by the values of one or several factors became prominent after the invention of factor analysis, a statistical tool, in the early twentieth century. A key problem with this tool-driven metaphor of intelligence is that it does not describe how cognition translates into behavior. The consequence of this missing link is that the usefulness of factor values to predict behavior is quite limited (Sternberg, Grigorenko, & Bundy, 2001). More importantly, the exclusive focus on paper-and-pencil tasks has estranged the notion of intelligence from the abilities and heuristics that are relevant for everyday behavior as well as for solving the problems that experts struggle with.
In this chapter, we propose a radically different view of intelligence that links cognition with behavior in terms of heuristics.
- Type
- Chapter
- Information
- Cognition and IntelligenceIdentifying the Mechanisms of the Mind, pp. 188 - 207Publisher: Cambridge University PressPrint publication year: 2004
References
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