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Meta-Intelligence: Understanding, Control, and Interactivity between Creative, Analytical, Practical, and Wisdom-Based Approaches in Problem Solving

Robert J. Sternberg, Vlad Petre Glăveanu, Sareh Karami, James C. Kaufman, Shane N. Phillipson, David Preiss

2021Journal of Intelligence51 citationsDOIOpen Access PDF

Abstract

A deeper understanding of the processes leading to problem framing and behind finding solutions to problems should help explain variability in the quality of the solutions to those problems. Using Sternberg’s WICS model as the conceptual basis of problem solving, this article discusses the relations between creative, analytical, practical, and wisdom-based approaches as bases for solutions to problems. We use a construct of meta-intelligence to encompass understanding, control, and coordination between these constructs. We propose that constraints can act at each of three levels—individual, contextual, and interactive. Individual constraints include the metacomponents (executive processes) that underpin each of the four kinds of solutions. Contextual constraints direct which of the four approaches are preferred under what circumstances. Finally, interactive constraints involve individual and contextual constraints directly impacting each other’s actions. The model of meta-intelligence and its functioning helps to explain the variability in the ways that individuals frame problems and, as a consequence, in the solutions that are found. The model of meta-intelligence also helps explain why some solutions to problems are so much more comprehensive, and often better, than others.

Topics & Concepts

Framing (construction)Frame problemInteractivityComputer scienceControl (management)Construct (python library)Frame (networking)Management sciencePsychologyArtificial intelligenceEngineeringEconomicsStructural engineeringProgramming languageMultimediaTelecommunicationsCognitive Science and MappingCreativity in Education and NeuroscienceComplex Systems and Decision Making
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