Recognition-based judgments and decisions: What we have learned (so far)

Julian N. Marewski · RÜDIGER F. POHL · Oliver Vitouch

33 citations0/0 files storedJudgment and Decision Making

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Decision-Making and Behavioral Economics Memory Processes and Influences Clinical Reasoning and Diagnostic Skills

Abstract

Abstract This special issue on recognition processes in inferential decision making represents an adversarial collaboration among the three guest editors. This introductory article to the special issue’s third and final part comes in three sections. In Section 1, we summarize the six papers that appear in this part. In Section 2, we give a wrap-up of the lessons learned. Specifically, we discuss (i) why studying the recognition heuristic has led to so much controversy, making it difficult to settle on mutually accepted empirically grounded assumptions, (ii) whether the development of the recognition heuristic and its theoretical descriptions could explain some of the past controversies and misconceptions, (iii) how additional cue knowledge about unrecognized objects could enter the decision process, (iv) why recognition heuristic theory should be complemented by a probabilistic model of strategy selection, and (v) how recognition information might be related to other information, especially when considering real-world applications. In Section 3, we present an outlook on the thorny but fruitful road to cumulative theory integration. Future research on recognition-based inferences should (i) converge on overcoming past controversies, taking an integrative approach to theory building, and considering theories and findings from neighboring fields (such as marketing science and artificial intelligence), (ii) build detailed computational process models of decision strategies, grounded in cognitive architectures, (iii) test existing models of such strategies competitively, (iv) design computational models of the mechanisms of strategy selection, and (v) effectively extend its scope to decision making in the wild, outside controlled laboratory situations.

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References

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2019Heuristics as conceptual lens for understanding and studying the usage of bibliometrics in research evaluation 2010Precise models deserve precise measures: A methodological dissection 2010I like what I know: Is recognition a non-compensatory determiner of consumer choice?2011Herbert Simon’s spell on judgment and decision making 2011Four challenges for cognitive research on the recognition heuristic and a call for a research strategy shift 2016Memory‐Based Simple Heuristics as Attribute Substitution: Competitive Tests of Binary Choice Inference Models

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