How do we tell an association from a rule? Comment on Sloman (1996)
Bibliographic Data
| ID | 4423873 |
|---|---|
| Authors | Gerd Gigerenzer (0000-0002-6163-5419, Max Planck Society), Terry Regier (0000-0003-0808-5208) |
| Year | 1996 |
| Volume | 119 |
| Issue | 1 |
| Pages | 23-26 |
| Publication date | 1996-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychological Bulletin (JOURNAL) |
| Journal identifiers | ISSN: 0033-2909 • E-ISSN: 1939-1455 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0033-2909.119.1.23 |
| OpenAlex | W2099187491 |
| Language | EN |
| Citations received | 42 |
| References cited | 8 |
S. A. Sloman's (1996) intriguing argument for separate associative and rule-based reasoning systems is unfortunately damaged by a certain amount of slack in the distinction he makes between these two posited mental mechanisms. The authors suggest that the distinction could be sharpened by overt reference to explicit models of associative and rule-based processing. They also point out that "simultaneous contradictory belief, " which Sloman takes as evidence for separate associative and rule-based systems, need not be interpreted in this fashion. It may also signal a number of other things, including the presence of linguistic ambiguity (as in the Linda problem), competing lines of formal reasoning (as in the Wason selection task), and unclarined assumptions (as in the 3 doors problem). In 1973, Allen Newell, torn between being distressed and content with the state of research on information processing, entitled a commentary "You Can't Play 20 Questions With Na-ture and Win. " Newell's distressed half fear that when behavior is explained in terms of binary oppositions—serial versus par-allel, grammars versus associations, nature versus nurture, and
Association (psychology) · Association rule learning · Cognitive psychology · Artificial Intelligence · Bayesian Modeling and Causal Inference · Child and Animal Learning Development · Computer Science · Decision-Making and Behavioral Economics · Psychology · Social Psychology
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The dark side of intuition
Personal Reflections on Theory and Psychology
A regulação da activação de diferentes modos de processamento da informação
The probative value of simultaneous contradictory belief
The ‘conjunction fallacy’ revisited
Adaptive Thinking
Intuitive and deliberate judgments are based on common principles.
Individual differences in reasoning
Conflict monitoring in dual process theories of thinking
Two Is Not Always Better Than One
Why Heuristics Work
Intuition, reason, and metacognition
Intuition and Reasoning
Risk and Rationality in Adolescent Decision Making
Dual Processing in Reasoning
The Mythical Number Two
What makes us think? A three-stage dual-process model of analytic engagement
Measuring Risk Literacy
Homo Heuristicus
Dual-Process Theories of Higher Cognition
Simple Heuristics in a Social World
The Nonconscious at Work
A Naturalistic Perspective on Knowledge How
A Cognitive Perspective on Knowledge How
Dual process theory and the challenges of functional individuation
The parallelism of cognitive economy and physiological economy
The Cognitive Philosophy of Reflection
Experimental control of conflict in a predictive visual probe task
Semantic coherence and fallacies in estimating joint probabilities
A levels of processing interpretation of dual-system theories of judgment and decision making
When Experiments Serve Little Purpose
Surrogates for Theories
The moral continuum
Can psychology learn from the natural sciences
On dual processing and heuristic approaches to moral cognition
Five Principles for Studying People’s Use of Heuristics
How can we apply decision‐making theories to wild animal behavior? Predictions arising from dual process theory and Bayesian decision theory
Associative and propositional processes in evaluation
Philosophical intuitions, heuristics, and metaphors
Replies to Lombrozo, Piccinini, and Poirier and Beaulac
Emotions and the Micro-Foundations of Commitment Problems
| Unique citing works | 42 |
|---|---|
| Citations per year | 1,4 |
| Citation span | 1996 - 2025 (30) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 37 |