Intuition and Reasoning: A Dual-Process Perspective

By Jonathan Evans. 2010

338 citations recorded by the source corpus.

Subfields: Artificial Intelligence, General Decision Sciences, Safety Research, Cognitive Science & Psychology

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Citations in the corpus

Self-Consistency Improves Chain of Thought Reasoning in Language Models (2022, background): “The more that deliberate thinking and analysis is required for a problem (Evans, 2010), the greater the diversity of reasoning paths that can recover the answer.”
Dual-Process Theories of Higher Cognition (2013, neutral): “We explain in the final section what we believe these features to be.”
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models (2023, background): “Despite such strengths, these methods are reflexive and fall short of humans’ deliberate and thoughtful decision-making characteristics to solve problems (Sloman, 1996; Evans, 2010).”
Questions and challenges for the new psychology of reasoning (2012, background): “In fact I observed recently that the study of deductive reasoning has paradoxically led us to learn a great deal about intuition (Evans, 2010a ).”
Student perceptions of assessment feedback: a critical scoping review and call for research (2020, methodology): “This assumption is based on dual-process approaches in higher cognition (Evans, 2010; Kahneman, 2003), with state assessments reflecting mainly processes of system 1 (fast, automatic, impulsive, perceptual) and trait assessments reflecting mainly processes of system 2 (slow, controlled, reflective, ”
Reflections on reflection: the nature and function of type 2 processes in dual-process theories of reasoning (2019, background): “So useful, in fact, that psychologists have claimed that it gives human beings a higher form of rationality than that found in other animal species (Evans, 2010b, 2013; Stanovich, 2004, 2011).”
Large Language Models Are Reasoning Teachers (2022, background): “Diverse reasoning is motivated by the intuition that multiple reasoning paths can be used to solve complex, type-2 tasks (Evans, 2010).”